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Like robust connectivity, precise positioning is evolving into an innovative component of 5G service offerings for industrial use-cases and verticals with challenging indoor radio environments. Therefore, the 3GPP Rel-16 standard has been a tipping point in specifying critical innovations, followed by enhancements in Rel-17 and Rel-18. In this article, we discuss the 5G positioning framework, measurements, and procedures before shifting the focus to recently identified carrier-phase (CP) measurements in Rel-18 as a complementary measure for time- and angular-based positioning methods. We discuss the associated challenges and potential solutions for exploiting CP, including integer ambiguity, multipath sensitivity, and signaling aspects. Furthermore, we study the ways in which phase-continuous reference signaling can counter noisy phase measurements using realistic simulations to achieve centimeter-level accuracy in indoor factory (InF) scenarios.

The increase in the number of Persons with Disabilities (OKU) in Malaysia as registered in the Department of Social Welfare (JKM) until the end of 2020 is estimated to be 570,000 and needs attention. People with disabilities are a part of Malaysian society and need to be given equal rights and given the opportunity to go through life easily. However, achieving the right to equality is not a simple thing to achieve today. There are many factors and challenges faced by people with disabilities due to negative attitudes and discrimination that have been ingrained in society. So, this study wants to explore facilities and equality in the field of disabled-friendly higher education. This study presents an exploratory study from selected past studies related to higher education for students with special needs in Malaysia. The research uses the choice approach of 10 selected articles to explore the problems, management, and implementation of efforts to create a friendly environment for people with disabilities. This study found that educational facilities at the higher education level have been created, such as facilities for parking spaces specially built for the disabled. This study suggests the need for improvements to other infrastructures, such as wheelchair access facilities, special pathways for the blind, and so on. The success of disabled-friendly higher education needs to involve a proactive environment in combating the neglect of disabled people in the current national development. Hopefully, this idea can contribute to building an inclusive environment in an educational institution. This study suggests future research related to aspects of community morality towards the disabled.

The increase in the number of Persons with Disabilities (OKU) in Malaysia as registered in the Department of Social Welfare (JKM) until the end of 2020 is estimated to be 570,000 and needs attention. People with disabilities are a part of Malaysian society and need to be given equal rights and given the opportunity to go through life easily. However, achieving the right to equality is not a simple thing to achieve today. There are many factors and challenges faced by people with disabilities due to negative attitudes and discrimination that have been ingrained in society. So, this study wants to explore facilities and equality in the field of disabled-friendly higher education. This study presents an exploratory study from selected past studies related to higher education for students with special needs in Malaysia. The research uses the choice approach of 10 selected articles to explore the problems, management, and implementation of efforts to create a friendly environment for people with disabilities. This study found that educational facilities at the higher education level have been created, such as facilities for parking spaces specially built for the disabled. This study suggests the need for improvements to other infrastructures, such as wheelchair access facilities, special pathways for the blind, and so on. The success of disabled-friendly higher education needs to involve a proactive environment in combating the neglect of disabled people in the current national development. Hopefully, this idea can contribute to building an inclusive environment in an educational institution. This study suggests future research related to aspects of community morality towards the disabled.

Endocrine disrupting chemicals (EDCs) are a growing global concern due to their widespread use and potential harm to human and animal health. Several EDCs have been linked to cancer, obesity, and diabetes in children and adults. EDCs come from manufacturers or everyday products like cookware, textile, cosmetic, furniture, and plastic. Some EDCs are volatile and may be inhaled by the inhabitants where indoor exposure to EDCs is considered worse than outdoor exposure due to the limited and confined area allowing dermal contact and ingestion of EDCs. During the COVID-19 pandemic in 2020–2021, all Malaysians were confined to their homes, prompting the goal of this study to investigate EDCs in household dust collected from Klang Valley homes. A total of 57 dust samples were collected, filtered, and extracted using methanol. EDCs including perfluoroalkyl and polyfluoroalkyl substances (PFAS), bisphenol and parabens were identified and quantified in dust samples by liquid chromatography mass tandem spectrometry (LCMS/MS). The presence of perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), butylparaben (BuP), methylparaben (MeP), ethylparaben (EtP), and propylparaben (PrP) was detected in 50–100% of dust samples, with range of concentration of 0.31–3693.96 ng/g, indicating that these compounds are common in indoor dust. Methylparaben was the most prevalent EDC in collected dust samples with mean concentration at 148. 18 ng/g, accounting for 54% of the concentration distribution, followed by BuP and PFOA. There were regional differences in EDC profiles, with higher PFAS and paraben levels in urban areas such as Putrajaya, Kuala Lumpur, and Petaling. The estimated daily intake (EDI) of EDCs from indoor dust ingestion varied by age, with infants having a significantly higher EDI (p < .01) than children and adults. Despite safe for consumption (Hazard Quotient, HQ < 1), these findings provide a baseline for assessing PFAS, bisphenol, and paraben in indoor dust

Endocrine disrupting chemicals (EDCs) are a growing global concern due to their widespread use and potential harm to human and animal health. Several EDCs have been linked to cancer, obesity, and diabetes in children and adults. EDCs come from manufacturers or everyday products like cookware, textile, cosmetic, furniture, and plastic. Some EDCs are volatile and may be inhaled by the inhabitants where indoor exposure to EDCs is considered worse than outdoor exposure due to the limited and confined area allowing dermal contact and ingestion of EDCs. During the COVID-19 pandemic in 2020–2021, all Malaysians were confined to their homes, prompting the goal of this study to investigate EDCs in household dust collected from Klang Valley homes. A total of 57 dust samples were collected, filtered, and extracted using methanol. EDCs including perfluoroalkyl and polyfluoroalkyl substances (PFAS), bisphenol and parabens were identified and quantified in dust samples by liquid chromatography mass tandem spectrometry (LCMS/MS). The presence of perfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), butylparaben (BuP), methylparaben (MeP), ethylparaben (EtP), and propylparaben (PrP) was detected in 50–100% of dust samples, with range of concentration of 0.31–3693.96 ng/g, indicating that these compounds are common in indoor dust. Methylparaben was the most prevalent EDC in collected dust samples with mean concentration at 148. 18 ng/g, accounting for 54% of the concentration distribution, followed by BuP and PFOA. There were regional differences in EDC profiles, with higher PFAS and paraben levels in urban areas such as Putrajaya, Kuala Lumpur, and Petaling. The estimated daily intake (EDI) of EDCs from indoor dust ingestion varied by age, with infants having a significantly higher EDI (p < .01) than children and adults. Despite safe for consumption (Hazard Quotient, HQ < 1), these findings provide a baseline for assessing PFAS, bisphenol, and paraben in indoor dust

After robust connectivity, precise positioning is evolving into an innovative component of 5G service offerings for industrial use-cases and verticals with challenging indoor radio environments. In this direction, the 3GPP Rel-16 standard has been a tipping point in specifying critical innovations, followed by enhancements in Rel-17 and Rel-18. In this article, we elaborate on the 5G positioning framework, measurements, and procedures before shifting the focus mainly to recently identified carrier-phase (CP) measurements in Rel-18 as a complementary measure for time- and angular-based positioning methods. We discuss the associated challenges and potential solutions for exploiting CP, including integer ambiguity, multipath sensitivity, and signaling aspects. Furthermore, we study how phase-continuous reference signaling can counter noisy phase measurements using realistic simulations to achieve centimeter-level accuracy in indoor factory (InF) scenarios., Comment: 5 figures, 1 table, accepted for publication in IEEE Wireless Communications Magazine

This paper presents an experimental realization of multiband 5G new radio (NR) optical front haul (OFH) based radio over fiber (RoF) system using digital predistortion (DPD). A novel magnitude-selective affine (MSA) based DPD method is proposed for the complexity reduction and performance enhancement of RoF link followed by its comparison with the canonical piece wise linearization (CPWL), decomposed vector rotation method (DVR) and generalized memory polynomial (GMP) methods. Similarly, a detailed study is shown followed by the implementation proposal of novel neural network (NN) for DPD followed by its comparison with MSA, CPWL, DVR and GMP methods. In the experimental testbed, 5G NR standard at 20 GHz with 50 MHz bandwidth and flexible-waveform signal at 3 GHz with 20 MHz bandwidth is used to cover enhanced mobile broad band and small cells scenarios. A dual drive Mach Zehnder Modulator having two distinct radio frequency signals modulates a 1310 nm optical carrier using distributed feedback laser for 22 km of standard single mode fiber. The experimental results are presented in terms of adjacent channel power ratio (ACPR), error vector magnitude (EVM), number of estimated coefficients and multiplications. The study aims to identify those novel methods such as MSA DPD are a good candidate to deploy in real time scenarios for DPD in comparison to NN based DPD which have a slightly better performance as compared to the proposed MSA method but has a higher complexity levels. Both, proposed methods, MSA and NN are meeting the 3GPP Release 17 requirements.

This paper presents an experimental realization of multiband 5G new radio (NR) optical front haul (OFH) based radio over fiber (RoF) system using digital predistortion (DPD). A novel magnitude-selective affine (MSA) based DPD method is proposed for the complexity reduction and performance enhancement of RoF link followed by its comparison with the canonical piece wise linearization (CPWL), decomposed vector rotation method (DVR) and generalized memory polynomial (GMP) methods. Similarly, a detailed study is shown followed by the implementation proposal of novel neural network (NN) for DPD followed by its comparison with MSA, CPWL, DVR and GMP methods. In the experimental testbed, 5G NR standard at 20 GHz with 50 MHz bandwidth and flexible-waveform signal at 3 GHz with 20 MHz bandwidth is used to cover enhanced mobile broad band and small cells scenarios. A dual drive Mach Zehnder Modulator having two distinct radio frequency signals modulates a 1310 nm optical carrier using distributed feedback laser for 22 km of standard single mode fiber. The experimental results are presented in terms of adjacent channel power ratio (ACPR), error vector magnitude (EVM), number of estimated coefficients and multiplications. The study aims to identify those novel methods such as MSA DPD are a good candidate to deploy in real time scenarios for DPD in comparison to NN based DPD which have a slightly better performance as compared to the proposed MSA method but has a higher complexity levels. Both, proposed methods, MSA and NN are meeting the 3GPP Release 17 requirements.

Gender is one of the essential aspects of the democratic process, including in the legislative elections. In this regard, this study aims to see the implementation of recruitment patterns and the influences used by women, and the factors that win women in Indonesia's legislative elections. This research is qualitative research by carrying out the documentation at the General Election Commission Office and in-depth interviews with women legislators elected in the 2019 general elections. The results showed that the Indonesian government has implemented affirmative action well, indicated by a minimum quota of 30% for female legislators. Besides, affirmative action's success is also supported by recruiting legislative candidates by parties using several approaches, namely the oligarchic approach, the cadre selection approach, the structural approach, the transparency approach, and the dedicated approach. Furthermore, the prevalence and factors that support women legislators' success in the 2019 elections, which have increased compared to the 2014 elections, influence the sequence number and the incumbent candidates' influence. In the end, this affirmative action policy positively affects women who want to take part in politics.

This research aims to assist the police institution in preventing theft crimes that increased during the Covid-19 period by mapping areas prone to theft crimes based on the incident's location and the level of intensity of theft crimes. This research is empirical, managed quantitatively by collecting data through documentation and literature study. The results showed an increase in the number of theft crimes by 42.65% in Makassar City during the six months of the coronavirus pandemic period. This research also succeeded in mapping the locations prone to theft crimes, mostly in residents' homes rather than in the business center, the central area of money circulation. The research results also show that almost all sub-districts in Makassar City are the places where theft crimes occur, dominated by medium and high categories symbolized by red, yellow, and green color. This study recommends that police institutions pay more attention to residential areas, which are the areas where theft crimes most occur during the pandemic period. Furthermore, this research implies that it can become a reference for the police institution to prepare efforts to prevent theft crimes in Makassar City and other areas during the Covid-19 period.

Providing rights in a country is essential, especially for organizing Malaysian citizens which has a different religion. The Malaysian constitution is the reference for knowing this right for non-Muslims. And the biography of the Prophet the Prophet had stated in the Sahifah Al-Madinah that these rights are a reference for the Islamic nation. It is worth noting that we compare the two constitutions to find out what can be improved towards non-Muslims in the Malaysian constitution. The purpose of this study is to research the Malaysian constitution about the rights of non-Muslims and then compare it with what was reported in Al-Madina Sahifah to discover what could be improved in the Malaysian constitution. The method used in this study is the inductive approach based on extrapolation of historical documents with the aim of obtaining related data. Then the data is analyzed using an inferential method to generate general conclusions regarding the rights of non-Muslims in both constitutions. Among the most important findings of the study is that there is a great similarity between these two documents in providing rights for non-Muslims. Then non-Muslims in the Islamic state are considered citizens with Muslims. It is permissible to cooperate with non-Muslims to defend the state to provide security and safety. Every Muslim and non-Muslim citizen has the right and duties in the Islamic state.

Education in Malaysia went through multiple phases, pre-colonial, post-colonial, and then before and after independence to the present day. There is no doubt that knowing this historical sequence shows us the current reality and what the society has become, and the challenges facing the Malaysian society, and then finding an appropriate solution to the problems and challenges based on the correct diagnosis of the disease. The research objectives revealed the stages that education went through in Malaysia before independence. As well as disclosing the types of education that exist, and the curricula on which these schools depend. Then analyze it and mention its implications. The researcher used the descriptive method that relies on deducing history and analyzing it to reach the desired goal. The research found that education in Malaysia before independence relied on certain schools that had their own curriculum and their own system. The emergence of these schools in this way led to a differentiation in the levels of classes of the people according to the material and the distinction between culture, science, and knowledge among the people. It can be said that the ethnic problems that still occur today have their main roots in the education process in the colonial era.

Providing rights in a country is essential, especially for organizing Malaysian citizens which has a different religion. The Malaysian constitution is the reference for knowing this right for non-Muslims. And the biography of the Prophet the Prophet had stated in the Sahifah Al-Madinah that these rights are a reference for the Islamic nation. It is worth noting that we compare the two constitutions to find out what can be improved towards non-Muslims in the Malaysian constitution. The purpose of this study is to research the Malaysian constitution about the rights of non-Muslims and then compare it with what was reported in Al-Madina Sahifah to discover what could be improved in the Malaysian constitution. The method used in this study is the inductive approach based on extrapolation of historical documents with the aim of obtaining related data. Then the data is analyzed using an inferential method to generate general conclusions regarding the rights of non-Muslims in both constitutions. Among the most important findings of the study is that there is a great similarity between these two documents in providing rights for non-Muslims. Then non-Muslims in the Islamic state are considered citizens with Muslims. It is permissible to cooperate with non-Muslims to defend the state to provide security and safety. Every Muslim and non-Muslim citizen has the right and duties in the Islamic state.

Education in Malaysia went through multiple phases, pre-colonial, post-colonial, and then before and after independence to the present day. There is no doubt that knowing this historical sequence shows us the current reality and what the society has become, and the challenges facing the Malaysian society, and then finding an appropriate solution to the problems and challenges based on the correct diagnosis of the disease. The research objectives revealed the stages that education went through in Malaysia before independence. As well as disclosing the types of education that exist, and the curricula on which these schools depend. Then analyze it and mention its implications. The researcher used the descriptive method that relies on deducing history and analyzing it to reach the desired goal. The research found that education in Malaysia before independence relied on certain schools that had their own curriculum and their own system. The emergence of these schools in this way led to a differentiation in the levels of classes of the people according to the material and the distinction between culture, science, and knowledge among the people. It can be said that the ethnic problems that still occur today have their main roots in the education process in the colonial era.

Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the fuel consumption while increasing the HEV performance. Artificial Intelligence such as Simulated Annealing for example is widely used to solve many engineering problem. This work focuses on the optimization of fuel and electrical power consumption in the hybrid electric vehicle (HEV) by utilizing a Simulated Annealing (SA) algorithm. The aim is to find the optimal control parameters of HEV such that the power loss is minimized.  In this study, a simplified model of HEV is considered. The performance of the SA based algorithm is analyzed in terms of the statistical analysis of the power loss. The results show that the SA based algorithm is able to minimize the power loss and increase the efficiency of the HEV.

Nowadays, the developments of hybrid electric cars are not something new. There are a lot of research are being done on how to increase the effectiveness of hybrid electric cars. One of the main aspects that are being aim is to reduce the fuel consumption while increasing the HEV performance. Artificial Intelligence such as Simulated Annealing for example is widely used to solve many engineering problem. This work focuses on the optimization of fuel and electrical power consumption in the hybrid electric vehicle (HEV) by utilizing a Simulated Annealing (SA) algorithm. The aim is to find the optimal control parameters of HEV such that the power loss is minimized.  In this study, a simplified model of HEV is considered. The performance of the SA based algorithm is analyzed in terms of the statistical analysis of the power loss. The results show that the SA based algorithm is able to minimize the power loss and increase the efficiency of the HEV.

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

The wireless edge is about distributing intelligence to wireless devices wherein the distribution of accurate time reference is essential for time-critical machine-type communication (cMTC). In 5G-based cMTC, enabling time synchronization in the wireless edge means moving beyond the current synchronization needs and solutions in 5G radio access. In this article, we analyze the device-level synchronization needs of potential cMTC applications: industrial automation, power distribution, vehicular communication, and live audio/video production. We present an overthe- air synchronization scheme comprising 5G air interface parameters and discuss their associated timing errors. We evaluate the estimation error in device-to-base-station propagation delay from timing advance under random errors and show how to reduce the estimation error. In the end, we identify the random errors specific to dense multipath fading environments and discuss countermeasures.

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

The wireless edge is about distributing intelligence to wireless devices wherein the distribution of accurate time reference is essential for time-critical machine-type communication (cMTC). In 5G-based cMTC, enabling time synchronization in the wireless edge means moving beyond the current synchronization needs and solutions in 5G radio access. In this article, we analyze the device-level synchronization needs of potential cMTC applications: industrial automation, power distribution, vehicular communication, and live audio/video production. We present an overthe- air synchronization scheme comprising 5G air interface parameters and discuss their associated timing errors. We evaluate the estimation error in device-to-base-station propagation delay from timing advance under random errors and show how to reduce the estimation error. In the end, we identify the random errors specific to dense multipath fading environments and discuss countermeasures.

Isoprene (C5H8) plays an important role in the formation of surface ozone (O3) and the secondary organic aerosol (SOA) which contributed to the climate change. This study aims to determine hourly distribution of tropospheric isoprene over the Western Coast of Antarctic Peninsula (WCAP) during the Malaysian Antarctic Scientific Expedition Cruise 2016 (MASEC′16). In-situ measurements of isoprene were taken using a custom-built gas chromatography with photoionization detector, known as iDirac. Biological parameters such as chlorophyll a (chl-a) and particulate organic carbon (POC) were compared to the in-situ isoprene measurements. Significant positive correlation was observed between isoprene and POC concentrations (r2 = 0.67, p < 0.001), but not between isoprene and chl-a. The hotspots of isoprene over maritime Antarctic were then were investigated using NAME dispersion model reanalysis. Measurements showed that isoprene mixing ratio were the highest over region of King George Island, Deception Island and Booth Island with values of ∼5.0, ∼0.9 and ∼5.2 ppb, respectively. Backward trajectory analysis showed that air masses may have lifted the isoprene emitted by marine algae. We believe our findings provide valuable data set of isoprene estimation over the under sampled WCAP.

Isoprene (C5H8) plays an important role in the formation of surface ozone (O3) and the secondary organic aerosol (SOA) which contributed to the climate change. This study aims to determine hourly distribution of tropospheric isoprene over the Western Coast of Antarctic Peninsula (WCAP) during the Malaysian Antarctic Scientific Expedition Cruise 2016 (MASEC′16). In-situ measurements of isoprene were taken using a custom-built gas chromatography with photoionization detector, known as iDirac. Biological parameters such as chlorophyll a (chl-a) and particulate organic carbon (POC) were compared to the in-situ isoprene measurements. Significant positive correlation was observed between isoprene and POC concentrations (r2 = 0.67, p < 0.001), but not between isoprene and chl-a. The hotspots of isoprene over maritime Antarctic were then were investigated using NAME dispersion model reanalysis. Measurements showed that isoprene mixing ratio were the highest over region of King George Island, Deception Island and Booth Island with values of ∼5.0, ∼0.9 and ∼5.2 ppb, respectively. Backward trajectory analysis showed that air masses may have lifted the isoprene emitted by marine algae. We believe our findings provide valuable data set of isoprene estimation over the under sampled WCAP.

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

Future cellular networks need to support the ever-increasing demand of bandwidth-intensive applications and interconnection of people, devices, and vehicles. Small cell network (SCN)-based communication together with proximity- and social-aware connectivity is conceived as a vital component of these networks to enhancing spectral efficiency, system capacity, and quality-of-experience (QoE). To cope with diverse application needs for the heterogeneous ecosystem, radio resource management (RRM) is one of the key research areas for the fifth-generation (5G) network. The key goals of this thesis are to develop novel, self-organizing, and low-complexity resource management algorithms for emerging device-to-device (D2D) and vehicle-to-vehicle (V2V) wireless systems while explicitly modeling and factoring network contextual information to satisfy the increasingly stringent requirements. Towards achieving this goal, this dissertation makes a number of key contributions. First, the thesis focuses on interference management techniques for D2D-enabled macro network and D2D-enabled SCNs in the downlink, while leveraging users’ social-ties, dynamic clustering, and user association mechanisms for network capacity maximization. A flexible social-aware user association technique is proposed to maximize network capacity. The second contribution focuses on ultra-reliable low-latency communication (URLLC) in vehicular networks in which interference management and resource allocation techniques are investigated, taking into account traffic and network dynamics. A joint power control and resource allocation mechanism is proposed to minimize the total transmission power while satisfying URLLC constraints. To overcome these challenges, novel algorithms are developed by combining several methodologies from graph theory, matching theory and Lyapunov optimization. Extensive simulations validate the performance of the proposed approaches, outperforming state-of-the-art solutions. Not, Tiivistelmä Tulevaisuuden solukkoverkkojen pitää pystyä tukemaan yhä suurempaa kaistanleveyttä vaativia sovelluksia sekä yhteyksiä ihmisten, laitteiden ja ajoneuvojen välillä. Piensoluverkkoihin (SCN) pohjautuvaa tietoliikennettä yhdistettynä paikka- ja sosiaalisen tietoisuuden huomioiviin verkkoratkaisuihin pidetään yhtenä elintärkeänä osana tulevaisuuden solukkoverkkoja, joilla pyritään tehostamaan spektrinkäytön tehokkuutta, järjestelmän kapasiteettia sekä kokemuksen laatua (QoE). Radioresurssien hallinta (RRM) on eräs keskeisistä viidennen sukupolven (5G) verkkoihin liittyvistä tutkimusalueista, joilla pyritään hallitsemaan heterogeenisen ekosysteemin vaihtelevia sovellustarpeita. Tämän väitöstyön keskeisinä tavoitteina on kehittää uudenlaisia itseorganisoituvia ja vähäisen kompleksisuuden resurssienhallinta-algoritmeja laitteesta-laitteeseen (D2D) ja ajoneuvosta-ajoneuvoon (V2V) toimiville uusille langattomille järjestelmille, sekä samalla mallintaa ja tuottaa verkon kontekstikohtaista tietoa vastaamaan koko ajan tiukentuviin vaatimuksiin. Tämä väitöskirja edistää näiden tavoitteiden saavuttamista usealla keskeisellä tuloksella. Aluksi väitöstyössä keskitytään häiriönhallinnan tekniikoihin D2D:tä tukevissa makroverkoissa ja laskevan siirtotien piensoluverkoissa. Käyttäjän sosiaalisia yhteyksiä, dynaamisia ryhmiä sekä osallistamismekanismeja hyödynnetään verkon kapasiteetin maksimointiin. Verkon kapasiteettia voidaan kasvattaa käyttämällä joustavaa sosiaaliseen tietoisuuteen perustuvaa osallistamista. Toinen merkittävä tulos keskittyy huippuluotettavaan lyhyen viiveen kommunikaatioon (URLLC) ajoneuvojen verkoissa, joissa tehtävää resurssien allokointia ja häiriönhallintaa tutkitaan liikenteen ja verkon dynamiikka huomioiden. Yhteistä tehonsäädön ja resurssien allokoinnin mekanismia ehdotetaan kokonaislähetystehon minimoimiseksi samalla, kun URLLC rajoitteita noudatetaan. Jotta esitettyihin haasteisiin voidaan vastata, väitöstyössä on kehitetty uudenlaisia algori

The wireless edge is about distributing intelligence to wireless devices wherein the distribution of accurate time reference is essential for time-critical machine-type communication (cMTC). In 5G-based cMTC, enabling time synchronization in the wireless edge means moving beyond the current synchronization needs and solutions in 5G radio access. In this article, we analyze the device-level synchronization needs of potential cMTC applications: industrial automation, power distribution, vehicular communication, and live audio/video production. We present an overthe- air synchronization scheme comprising 5G air interface parameters and discuss their associated timing errors. We evaluate the estimation error in device-to-base-station propagation delay from timing advance under random errors and show how to reduce the estimation error. In the end, we identify the random errors specific to dense multipath fading environments and discuss countermeasures.

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

The wireless edge is about distributing intelligence to wireless devices wherein the distribution of accurate time reference is essential for time-critical machine-type communication (cMTC). In 5G-based cMTC, enabling time synchronization in the wireless edge means moving beyond the current synchronization needs and solutions in 5G radio access. In this article, we analyze the device-level synchronization needs of potential cMTC applications: industrial automation, power distribution, vehicular communication, and live audio/video production. We present an overthe- air synchronization scheme comprising 5G air interface parameters and discuss their associated timing errors. We evaluate the estimation error in device-to-base-station propagation delay from timing advance under random errors and show how to reduce the estimation error. In the end, we identify the random errors specific to dense multipath fading environments and discuss countermeasures.

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

The wireless edge is about distributing intelligence to wireless devices wherein the distribution of accurate time reference is essential for time-critical machine-type communication (cMTC). In 5G-based cMTC, enabling time synchronization in the wireless edge means moving beyond the current synchronization needs and solutions in 5G radio access. In this article, we analyze the device-level synchronization needs of potential cMTC applications: industrial automation, power distribution, vehicular communication, and live audio/video production. We present an overthe- air synchronization scheme comprising 5G air interface parameters and discuss their associated timing errors. We evaluate the estimation error in device-to-base-station propagation delay from timing advance under random errors and show how to reduce the estimation error. In the end, we identify the random errors specific to dense multipath fading environments and discuss countermeasures.

Wireless edge is about distributing intelligence to the wireless devices wherein the distribution of accurate time reference is essential for time-critical machine-type communication (cMTC). In 5G-based cMTC, enabling time synchronization in the wireless edge means moving beyond the current synchronization needs and solutions in 5G radio access. In this article, we analyze the device-level synchronization needs of potential cMTC applications: industrial automation, power distribution, vehicular communication, and live audio/video production. We present an over-the-air (OTA) synchronization scheme comprised of 5G air interface parameters, and discuss their associated timing errors. We evaluate the estimation error in device-to-base station propagation delay from timing advance (TA) under random errors and show how to reduce the estimation error. In the end, we identify the random errors specific to dense multipath fading environments and discuss countermeasures., Comment: 7 pages, 5 figures

Leitner was Hungarian by birth and “an Austrian Subject”. As an intelligent young student he learnt the major languages of the Islamic countries (e.g. Arabic, Turkish, Persian and later on Urdu) and completed the Islamic studies from the well-known madrassahs of Istanbul. After migration to England (September 1858), he first got admitted in King’s College, London, where, later on, he became the Professor of Arabic studies. In 1862, he decided to surrender his Austro-Hungarian citizenship and tried to get the naturalization of England. For this purpose, he completed all the relevant procedural formalities and finally succeeded in becoming citizen of Great Britain afterwards. Luckily, all the hand-written documents relating to his case of naturalization are safely preserved in the library of the Public Record Office, London.1 Still unpublished, all the material, contained in this file is being revealed in this article.

Leitner was Hungarian by birth and “an Austrian Subject”. As an intelligent young student he learnt the major languages of the Islamic countries (e.g. Arabic, Turkish, Persian and later on Urdu) and completed the Islamic studies from the well-known madrassahs of Istanbul. After migration to England (September 1858), he first got admitted in King’s College, London, where, later on, he became the Professor of Arabic studies. In 1862, he decided to surrender his Austro-Hungarian citizenship and tried to get the naturalization of England. For this purpose, he completed all the relevant procedural formalities and finally succeeded in becoming citizen of Great Britain afterwards. Luckily, all the hand-written documents relating to his case of naturalization are safely preserved in the library of the Public Record Office, London.1 Still unpublished, all the material, contained in this file is being revealed in this article.

Supporting ultra-reliable and low-latency communications (URLLC) is crucial for vehicular traffic safety and other mission-critical applications. In this paper, a novel proximity and quality-of-service-aware resource allocation framework for vehicle-to-vehicle (V2V) communication is proposed. The proposed scheme incorporates the physical proximity and traffic demands of vehicles to minimize the total transmission power over the allocated resource blocks (RBs) under reliability and queuing latency constraints. A Lyapunov framework is used to decompose the power minimization problem into two interrelated sub-problems: RB allocation and power optimization. To minimize the overhead introduced by frequent information exchange between the vehicles and the roadside unit (RSU), the resource allocation problem is solved in a semi-distributed fashion. First, a novel RSU-assisted virtual clustering mechanism is proposed to group vehicles into disjoint zones based on mutual interference. Second, a per-zone matching game is proposed to allocate RBs to each vehicle user equipment (VUE) based on vehicles’ traffic demands and their latency and reliability requirements. In the formulated one-to-many matching game, VUE pairs and RBs rank one another using preference relations that capture both the queue dynamics and interference. To solve this game, a semi-decentralized algorithm is proposed using which the VUEs and RBs can reach a stable matching. Finally, a latency-and reliability-aware power allocation solution is proposed for each VUE pair over the assigned subset of RBs. Simulation results for a Manhattan model show that the proposed scheme outperforms the state-of-art baseline and reaches up to 45% reduction in the queuing latency and 94% improvement in reliability.

Leitner was Hungarian by birth and “an Austrian Subject”. As an intelligent young student he learnt the major languages of the Islamic countries (e.g. Arabic, Turkish, Persian and later on Urdu) and completed the Islamic studies from the well-known madrassahs of Istanbul. After migration to England (September 1858), he first got admitted in King’s College, London, where, later on, he became the Professor of Arabic studies. In 1862, he decided to surrender his Austro-Hungarian citizenship and tried to get the naturalization of England. For this purpose, he completed all the relevant procedural formalities and finally succeeded in becoming citizen of Great Britain afterwards. Luckily, all the hand-written documents relating to his case of naturalization are safely preserved in the library of the Public Record Office, London.1 Still unpublished, all the material, contained in this file is being revealed in this article.

Supporting ultra-reliable and low-latency communications (URLLC) is crucial for vehicular traffic safety and other mission-critical applications. In this paper, a novel proximity and quality-ofservice-aware resource allocation framework for vehicle-to-vehicle (V2V) communication is proposed. The proposed scheme incorporates the physical proximity and traffic demands of vehicles to minimize the total transmission power over the allocated resource blocks (RBs) under reliability and queuing latency constraints. A Lyapunov framework is used to decompose the power minimization problem into two interrelated sub-problems: RB allocation and power optimization. To minimize the overhead introduced by frequent information exchange between the vehicles and the roadside unit (RSU), the resource allocation problem is solved in a semi-distributed fashion. First, a novel RSU-assisted virtual clustering mechanism is proposed to group vehicles into disjoint zones based on mutual interference. Second, a per-zone matching game is proposed to allocate RBs to each vehicle user equipment (VUE) based on vehicles' traffic demands and their latency and reliability requirements. In the formulated one-to-many matching game, VUE pairs and RBs rank one another using preference relations that capture both the queue dynamics and interference. To solve this game, a semi-decentralized algorithm is proposed using which the VUEs and RBs can reach a stable matching. Finally, a latency-and reliability-aware power allocation solution is proposed for each VUE pair over the assigned subset of RBs. Simulation results for a Manhattan model show that the proposed scheme outperforms the state-of-art baseline and reaches up to 45% reduction in the queuing latency and 94% improvement in reliability.

Ultra-reliable and low-latency communications (URLLC) is an emerging feature in 5G and beyond wireless systems, which is introduced to support stringent latency and reliability requirements of mission-critical industrial applications. In many potential applications, multiple sensors/actuators collaborate and require isochronous operation with strict and bounded jitter, e.g., \SI{1}{\micro\second}. To this end, network time synchronization becomes crucial for real-time and isochronous communication between a controller and the sensors/actuators. In this paper, we look at different applications in factory automation and smart grids to reveal the requirements of device-level time synchronization and the challenges in extending the high-granularity timing information to the devices. Also, we identify the potential over-the-air synchronization mechanisms in 5G radio interface, and discuss the needed enhancements to meet the jitter constraints of time-sensitive URLLC applications.

Recently vehicle-to-vehicle (V2V) communication emerged as a key enabling technology to ensure traffic safety and other mission-critical applications. In this paper, a novel proximity and quality-of-service (QoS)-aware resource allocation for V2V communication is proposed. The proposed approach exploits the spatial-temporal aspects of vehicles in terms of their physical proximity and traffic demands, to minimize the total transmission power while considering queuing latency and reliability. Due to the overhead caused by frequent information exchange between vehicles and the roadside unit (RSU), the centralized problem is decoupled into two interrelated subproblems. First, a novel RSU-assisted virtual clustering mechanism is proposed to group vehicles in zones based on their physical proximity. Given the vehicles’ traffic demands and their QoS requirements, resource blocks are assigned to each zone. Second, leveraging techniques from Lyapunov stochastic optimization, a power minimization solution is proposed for each V2V pair within each zone. Simulation results for a Manhattan model have shown that the proposed scheme outperforms the baseline in terms of average queuing latency reduction up to 97% and significant improvement in reliability.

In this paper, a novel social network-aware user association in wireless small cell networks with underlaid deviceto-device (D2D) communication is investigated. The proposed approach exploits strategic social relationships between user equipments (TIEs) and their physical proximity to optimize the overall network performance. This problem is formulated as a matching game between TIEs and their serving nodes (SNs) in which, an SN can be a small cell base station (SCBS) or an important UE with D2D capabilities. The problem is cast as a many-to-one matching game in which TIEs and SNs rank one another using preference relations that capture both the wireless aspects (i.e., received signal strength, traffic load, etc.) and users’ social ties (e.g., TIE proximity and social distance). Due to the combinatorial nature of the network-wide TIE-SN matching, the problem is decomposed into a dynamic clustering problem in which SCBSs are grouped into disjoint clusters based on mutual interference. Subsequently, an TIE-SN matching game is carried out per cluster. The game under consideration is shown to belong to a class of matching games with externalities arising from interference and peer effects due to users social distance, enabling TIEs and SNs to interact with one another until reaching a stable matching. Simulation results show that the proposed social-aware user association approach yields significant performance gains, reaching up to 26%, 24%, and 31% for 5th, 50th, and 95th percentiles for TIE throughputs, respectively, as compared to the classical social-unaware baseline.

Recently vehicle-to-vehicle (V2V) communication emerged as a key enabling technology to ensure traffic safety and other mission-critical applications. In this paper, a novel proximity and quality-of-service (QoS)-aware resource allocation for V2V communication is proposed. The proposed approach exploits the spatial-temporal aspects of vehicles in terms of their physical proximity and traffic demands, to minimize the total transmission power while considering queuing latency and reliability. Due to the overhead caused by frequent information exchange between vehicles and the roadside unit (RSU), the centralized problem is decoupled into two interrelated subproblems. First, a novel RSU-assisted virtual clustering mechanism is proposed to group vehicles in zones based on their physical proximity. Given the vehicles' traffic demands and their QoS requirements, resource blocks are assigned to each zone. Second, leveraging techniques from Lyapunov stochastic optimization, a power minimization solution is proposed for each V2V pair within each zone. Simulation results for a Manhattan model have shown that the proposed scheme outperforms the baseline in terms of average queuing latency reduction up to 97% and significant improvement in reliability., Comment: 5 pages, 5 figures, EuCNC 2017, Oulu, Finland, June 12-15, 2017

Due to the upsurge of context-aware and proximity aware applications, device-to-device (D2D) enabled mobile cloud (MC) emerges as next step towards future 5G system. There are many applications for such MC based architecture but mobile data offloading is one of the most prominent one especially for ultra dense wireless networks. The proposed system exploits the short range links to establish a cluster based network between the nearby devices, adapts according to environment and uses various cooperation strategies to obtain efficient utilization of resources. We proposed a novel architecture of MC in which the total coverage area of a eNB is divided into several logical regions (clusters). Furthermore, UEs in the cluster are classified into Primary Cluster Head (PCH), Secondary Cluster Head (SCH) and Standard UEs (UEs). Each cluster is managed by selected PCH and SCH. An algorithm is proposed for the selection of PCH and SCH which is based on signal-to-interference-plus-noise (SINR) and residual energy of UEs. Finally each PCH and SCH distributes data in their respective regions by efficiently utilizing D2D links. Simulation results demonstrate that the proposed D2D-enabled MC based approach yields significantly better gains in terms of data rate and energy efficiency as compared to the classical cellular approach.

Objective: The purpose of this study is to determine the perception of stakeholder regarding the post-flood waste management system among the stakeholder authority. Methodology: This is a qualitative study and using in-depth interview. Results: The participants are officers involved in post flood from district council, SWCorp and Alam Flora. Among the criteria taken into consideration during the selection of respondents is having experience in flood waste management and involve in managing problematic areas. Conclusion: Researcher determined theme on severity of flood, waste collection, factors of failures and suggestion for improvement.

In this paper, a novel proximity and load-aware resource allocation for vehicle-to-vehicle (V2V) communication is proposed. The proposed approach exploits the spatio-temporal traffic patterns, in terms of load and vehicles’ physical proximity, to minimize the total network cost which captures the tradeoffs between load (i.e., service delay) and successful transmissions while satisfying vehicles’ quality-of-service (QoS) requirements. To solve the optimization problem under slowly varying channel information, it is decoupled the problem into two interrelated sub-problems. First, a dynamic clustering mechanism is proposed to group vehicles in zones based on their traffic patterns and proximity information. Second, a matching game is proposed to allocate resources for each V2V pair within each zone. The problem is cast as many-to-one matching game in which V2V pairs and resource blocks (RBs) rank one another in order to minimize their service delay. The proposed game is shown to belong to the class of matching games with externalities. To solve this game, a distributed algorithm is proposed using which V2V pairs and RBs interact to reach a stable matching. Simulation results for a Manhattan model shown that the proposed scheme yields a higher percentage of V2V pairs satisfying QoS as well as significant gain in terms of the signal-to- interference-plus-noise ratio (SINR) as compared to a state-of-art resource allocation baseline.

Objective: The purpose of this study is to determine the perception of stakeholder regarding the post-flood waste management system among the stakeholder authority. Methodology: This is a qualitative study and using in-depth interview. Results: The participants are officers involved in post flood from district council, SWCorp and Alam Flora. Among the criteria taken into consideration during the selection of respondents is having experience in flood waste management and involve in managing problematic areas. Conclusion: Researcher determined theme on severity of flood, waste collection, factors of failures and suggestion for improvement.

In this paper, a novel social network-aware user association in wireless small cell networks with underlaid device-to-device (D2D) communication is investigated. The proposed approach exploits social strategic relationships between user equipments (UEs) and their physical proximity to optimize the overall network performance. This problem is formulated as a matching game between UEs and their serving nodes (SNs) in which, an SN can be a small cell base station (SCBS) or an important UE with D2D capabilities. The problem is cast as a many-to-one matching game in which UEs and SNs rank one another using preference relations that capture both the wireless aspects (i.e., received signal strength, traffic load, etc.) and users' social ties (e.g., UE proximity and social distance). Due to the combinatorial nature of the network-wide UE-SN matching, the problem is decomposed into a dynamic clustering problem in which SCBSs are grouped into disjoint clusters based on mutual interference. Subsequently, an UE-SN matching game is carried out per cluster. The game under consideration is shown to belong to a class of matching games with externalities arising from interference and peer effects due to users social distance, enabling UEs and SNs to interact with one another until reaching a stable matching. Simulation results show that the proposed social-aware user association approach yields significant performance gains, reaching up to 26%, 24%, and 31% for 5-th, 50-th and 95-th percentiles for UE throughputs, respectively, as compared to the classical social-unaware baseline., Comment: 15 pages, 13 figures, Accepted in IEEE transactions on vehicular technology

In this paper, a novel proximity and load-aware resource allocation for vehicle-to-vehicle (V2V) communication is proposed. The proposed approach exploits the spatio-temporal traffic patterns, in terms of load and vehicles' physical proximity, to minimize the total network cost which captures the tradeoffs between load (i.e., service delay) and successful transmissions while satisfying vehicles's quality-of-service (QoS) requirements. To solve the optimization problem under slowly varying channel information, it is decoupled the problem into two interrelated subproblems. First, a dynamic clustering mechanism is proposed to group vehicles in zones based on their traffic patterns and proximity information. Second, a matching game is proposed to allocate resources for each V2V pair within each zone. The problem is cast as many-to-one matching game in which V2V pairs and resource blocks (RBs) rank one another in order to minimize their service delay. The proposed game is shown to belong to the class of matching games with externalities. To solve this game, a distributed algorithm is proposed using which V2V pairs and RBs interact to reach a stable matching. Simulation results for a Manhattan model shown that the proposed scheme yields a higher percentage of V2V pairs satisfying QoS as well as significant gain in terms of the signal-to-interference-plus-noise ratio (SINR) as compared to a state-of-art resource allocation baseline., Comment: 6 pages, 4 figures, IEEE GLOBECOM 2016

Millimeter wave (mmWave) communications have been postulated as one of the most disruptive technologies for future 5G systems. Among mmWave bands the 60-GHz radio technology is specially suited for ultradense small cells and mobile data offloading scenarios. Many challenges remain to be addressed in mmWave communications but among them deafness, or misalignment between transmitter and receivers beams, and interference management lie among the most prominent ones. In the recent years, scenarios considering negligible interference on mmWave resource allocation have been rather common in literature. To this end, interestingly, many open issues still need to be addressed such as the applicability of noise-limited regime for mmWave. Furthermore, in mmWave the beam-steering mechanism imposes a forced silence period, in the course of which no data can be conveyed, that should not be neglected in throughput/delay calculations. This paper introduces mmWave enabled Small Cell Networks (SCNs) with relaying capabilities where as a result of a coordinated meta-heuristically optimized beamwidth/alignment-delay approach overall system throughput is optimized. Simulations have been conveyed for three transmitter densities under TDMA and naive 'all-on' scheduling producing average per node throughput increments of up to 248%. The paper further elaborates on the off-balancing impact of alignment delay and time-multiplexing strategies by illustrating how the foreseen transition that increasing the number of transmitters produces in the regime of a fixed-node size SCN in downlink operation fades out by a poor choice in the scheduling strategy., Comment: 6 pages, 4 figures, European Wireless 2016 Conference

In this paper, we propose a novel social network aware approach for user association in wireless small cell networks. The proposed approach exploits social relationships between user equipments (UEs) and their physical proximity to optimize the network throughput. We formulate the problem as a matching game between UEs and their serving nodes (SNs). In our proposed game, the serving node can be a small cell base station (SCBS) or an important node with device-to-device capabilities. In this game, the SCBSs and UEs maximize their respective utility functions capturing both the spatial and social structures of the network. We show that the proposed game belongs to the class of matching games with externalities. Subsequently, we propose a distributed algorithm using which the SCBSs and UEs interact and reach a stable matching. We show the convergence of the proposed algorithm and study the properties of the resulting matching. Simulation results show that the proposed socially-aware user association approach can efficiently offload traffic while yielding a significant gain reaching up to 63% in terms of data rates as compared to the classical (social-unaware) approach., Comment: IEEE WCNC 2014

The purpose of this paper is to examine the 2014 post-flood waste management in affected area. For this purpose, Pasir Mas in Kelantan was chosen as the sample area and interviews were conducted with the residents. The interviews aim to gather information about post-flood waste produced,sources of the waste, actions taken by the residents and related authorities bodies to clear the waste, impact of the waste on their living surroundings and health, and assistance needed to manage the waste. A total of 39 respondents consisted of 20 men and 19 women were selected at random for focus group discussion. These respondents represent persons of age 25 years old and above, local and whose living quarters have been affected by the flood. The large volume of mud left by the flood has been identified by the participants as the main source of the post-flood waste. In addition, good cooperation between government agencies and the residents is important to speed up the waste clearing works.However, residents are in much needed support, awareness and education about the impact of long due waste clearing on their health and living environment.

The purpose of this paper is to examine the 2014 post-flood waste management in affected area. For this purpose, Pasir Mas in Kelantan was chosen as the sample area and interviews were conducted with the residents. The interviews aim to gather information about post-flood waste produced, sources of the waste, actions taken by the residents and related authorities bodies to clear the waste, impact of the waste on their living surroundings and health, and assistance needed to manage the waste. A total of 39 respondents consisted of 20 men and 19 women were selected at random for focus group discussion. These respondents represent persons of age 25 years old and above, local and whose living quarters have been affected by the flood. The large volume of mud left by the flood has been identified by the participants as the main source of the post-flood waste. In addition, good cooperation between government agencies and the residents is important to speed up the waste clearing works. However, residents are in much needed support, awareness and education about the impact of long due waste clearing on their health and living environment.