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1. Network Slicing for TSN-Based Transport Networks

Author

Sushmit Bhattacharjee, Tongtong Wang, An Xueli, Thomas Bauschert, Robert Schmidt, Kostas Katsalis, Navid Nikaein, and Osama Arouk

Subjects
Ethernet, General Computer Science, network slicing, Computer science, Transport network, 02 engineering and technology, 020210 optoelectronics & photonics, DetNet, 0202 electrical engineering, electronic engineering, information engineering, mobile network, General Materials Science, IEEE TSN, business.industry, General Engineering, 020206 networking & telecommunications, Automation, TK1-9971, Management system, Network service, Key (cryptography), Cellular network, Electrical engineering. Electronics. Nuclear engineering, business, 5G, Computer network
Abstract

In this work, we present and analyze methods and mechanisms for interconnecting a network slice control and management system of the mobile network, with an IEEE Time-Sensitive Network (TSN) control plane. IEEE TSN is gaining momentum as a key technology that is able to provide network service guarantees for Ethernet-based communications. Although Ultra-Reliable Low-Latency Communications (URLLC) have been thoroughly investigated in 5G, incorporating TSN technologies in the Transport Network is expected to unleash the potential of end-to-end deterministic communications, especially in industrial environments and time-critical applications like factory automation.We elaborate on the concepts of a TSN-aware Xhaul network, present a novel architecture, and describe a set of amendments required in order to enable network slicing. With the devised approach, a slice-aware TSN-enabled transport network can be controlled and managed in an end-to-end orchestrated way. Implementation experience and evaluation results are reported using TSN-enabled prototype devices, OpenAirInterface (OAI), and JOX slice orchestrator.

Published
2021

2. Kube5G: A Cloud-Native 5G Service Platform

Author

Osama Arouk, Navid Nikaein, Eurecom [Sophia Antipolis], IEEE, European Project: 857201,5G-VICTORI, and European Project: 957317,Affordable5G

Subjects
Mosaic5G, Service (systems architecture), Computer science, business.industry, IT service continuity, Distributed computing, Provisioning, Cloud computing, 5G Cloud-Native Mosaic5G Kubernetes, GLOBECOM, Workflow, Elasticity (cloud computing), User experience design, Cloud-Native, [CHIM]Chemical Sciences, Kubernetes, business, 5G
Abstract

International audience; With the proliferation of use-cases envisioned to be supported by 5G networks, the focus is not only on the performance, but also on the service agility and elasticity. Cloud native principal is a methodology of designing lightweight, isolatedcontext, and deployable at scale applications that natively exploit the features of cloud. However, supporting telco applications (e.g., 4G/5G services) in the cloud brings up many challenges, such as the coexistence of physical and virtual functions, (near) realtime resource provisioning, service continuity, and strict latency and data rates. In this paper, we propose Kube5G, as a realizable agile service platform in support of 4G/5G cloud native applications. Kube5G introduces a novel approach in building and packaging a cloud-native compliant telco network function (NF) in a form of nested well-defined layers. In addition, we present a workflow for continuous integration and development operations in support of multi-version network functions (physical, virtual and cloud functions). We also present a concrete prototype implementation of Kube5G with experimental results indicating its efficiency and highlighting user and network perceived performance.

Published
2020
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3. 5G Cloud-Native: Network Management & Automation

Author

Osama Arouk and Navid Nikaein

Subjects
business.industry, Computer science, Cloud computing, computer.software_genre, Automation, Network management, Base station, Software deployment, Container (abstract data type), Operating system, Orchestration (computing), business, computer, 5G
Abstract

In this demo, we present 5G network automation in cloud-native environment. Our proposition is to demonstrate the network automation using Kubernets as container orchestration and automating application deployment, while using Openshift Operator as a tool to manage complex services, such as 5G services. For this purpose, we use the containerized OpenAirInterface (OAI) to deploy the network and demonstrate the automatability, such as dynamic switch of RAN between monolithic base station and disaggregated RAN (i.e. Distributed Unit-DU and Centralized Unit-CU), and auto-configuration.

Published
2020
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4. Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives

Author

Naser Hossein Motlagh, Osama Arouk, and Tarik Taleb

Subjects
ta113, Computer Networks and Communications, business.industry, Computer science, Service delivery framework, ComputerApplications_COMPUTERSINOTHERSYSTEMS, 020206 networking & telecommunications, Usability, 02 engineering and technology, Computer security, computer.software_genre, Maturity (finance), Drone, Computer Science Applications, Hardware and Architecture, Software deployment, Signal Processing, 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), 020201 artificial intelligence & image processing, business, Internet of Things, computer, Information Systems
Abstract

Recently, unmanned aerial vehicles (UAVs), or drones, have attracted a lot of attention, since they represent a new potential market. Along with the maturity of the technology and relevant regulations, a worldwide deployment of these UAVs is expected. Thanks to the high mobility of drones, they can be used to provide a lot of applications, such as service delivery, pollution mitigation, farming, and in the rescue operations. Due to its ubiquitous usability, the UAV will play an important role in the Internet of Things (IoT) vision, and it may become the main key enabler of this vision. While these UAVs would be deployed for specific objectives (e.g., service delivery), they can be, at the same time, used to offer new IoT value-added services when they are equipped with suitable and remotely controllable machine type communications (MTCs) devices (i.e., sensors, cameras, and actuators). However, deploying UAVs for the envisioned purposes cannot be done before overcoming the relevant challenging issues. These challenges comprise not only technical issues, such as physical collision, but also regulation issues as this nascent technology could be associated with problems like breaking the privacy of people or even use it for illegal operations like drug smuggling. Providing the communication to UAVs is another challenging issue facing the deployment of this technology. In this paper, a comprehensive survey on the UAVs and the related issues will be introduced. In addition, our envisioned UAV-based architecture for the delivery of UAV-based value-added IoT services from the sky will be introduced, and the relevant key challenges and requirements will be presented.

Published
2016
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5. Group Paging-Based Energy Saving for Massive MTC Accesses in LTE and Beyond Networks

Author

Tarik Taleb, Osama Arouk, and Adlen Ksentini

Subjects
Computer Networks and Communications, Computer science, Retransmission, Core network, 02 engineering and technology, Electronic mail, 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, Resource management, Electrical and Electronic Engineering, Radio access network, ta213, business.industry, 020302 automobile design & engineering, 020206 networking & telecommunications, congestion control, Energy consumption, Network congestion, Energy conservation, MTC, Paging, business, Energy efficient, 5G, Computer network, Efficient energy use
Abstract

Next generation cellular networks (5G) have to deal with massive deployment of machine-type-communication (MTC) devices, expected to cause congestion and system overload in both the radio access network (RAN) and the core network (CN). Moreover, not only would the network suffer from the system overload, but also the MTC devices would experience high latency to access the channel and high power consumption due to the retransmission attempts. Indeed, power consumption is a critical issue in MTC, as the devices are not plugged into the electrical supply, e.g., in the case of sensor devices. To alleviate system overload (caused by the massive MTC deployment), the 3GPP proposed the group paging (GP) method. However, its performances dramatically decrease when increasing the number of MTC devices being paged. In this paper, we devise a novel method, named further improvement-traffic scattering for group paging (FI-TSFGP), which aims to improve the performance of GP when the number of MTC devices is high. FI-TSFGP scatters the paging operation of the MTC devices over a GP interval instead of letting all of the devices start the channel access procedure at nearly the same time. By doing so, FI-TSFGP achieves high-channel access probability for MTC devices, leading to the reduction of both the channel access latency and power consumption. Compared to GP and two other schemes, simulation results clearly demonstrate the high performance of FI-TSFGP in terms of: success and collision probabilities, average access delay, average number of preamble transmissions, and ultimately energy conservation.

Published
2016
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6. Cost Optimization of Cloud-RAN Planning and Provisioning for 5G Networks

Author

Osama Arouk, Katia Obraczka, Thierry Turletti, Navid Nikaein, Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Eurecom [Sophia Antipolis], Jack Baskin School of Engineering (UCSC), University of California [Santa Cruz] (UC Santa Cruz), University of California (UC)-University of California (UC), University of California [Santa Cruz] (UCSC), and University of California-University of California

Subjects
Service (systems architecture), Computer science, business.industry, Distributed computing, 020302 automobile design & engineering, 020206 networking & telecommunications, Provisioning, Cloud computing, 02 engineering and technology, Network planning and design, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0203 mechanical engineering, Software deployment, Scalability, 0202 electrical engineering, electronic engineering, information engineering, business, 5G, Integer (computer science)
Abstract

International audience; In this paper, we propose a network planning and provisioning framework that optimizes deployment cost in C-RAN based 5G networks. Our framework is based on a Mixed Integer Quadratically Constrained Programming (MIQCP) model which optimizes " virtualized " 5G service chain deployment cost while performing adequate provisioning to address user demand and performance requirements. We use two realistic scenarios to showcase that our framework can be applied to different types of deployments and discuss the computational cost and scalability of our solution.

Published
2018

7. Slice Orchestration for Multi-Service Disaggregated Ultra Dense RANs

Author

Osama Arouk, Chia-Yu Chang, Thierry Turletti, Adlen Ksentini, Konstantinos Samdanis, Kostas Katsalis, Navid Nikaein, EURECOM, Eurecom [Sophia Antipolis]-Centre National de la Recherche Scientifique (CNRS), Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Huawei Technologies [Dusseldorf], ANR-11-LABX-0031,UCN@SOPHIA,Réseau orienté utilisateur(2011), and European Project: 762057,H2020,5G-PICTURE(2017)

Subjects
Service (systems architecture), Computer Networks and Communications, Computer science, Distributed computing, 050801 communication & media studies, 02 engineering and technology, Network Embedding, RAN slicing, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, Resource (project management), 0202 electrical engineering, electronic engineering, information engineering, Resource management, Orchestration (computing), Electrical and Electronic Engineering, Radio access network, 05 social sciences, Orchestration, 020206 networking & telecommunications, Computer Science Applications, Shared resource, Software deployment, Network Slicing, Service Chaining, 5G
Abstract

International audience; Ultra Dense Networks (UDNs) are a natural deployment evolution for handling the tremendous traffic increase related to the emerging 5G services, especially in urban environments. However, the associated infrastructure cost may become prohibitive. The evolving paradigm of network slicing can tackle such a challenge while optimizing the network resource usage, enabling multi-tenancy and facilitating resource sharing and efficient service-oriented communications. Indeed, network slicing in UDN deployments can offer the desired degree of customization in both vanilla Radio Access Network (RAN) designs, but also in the case of disaggregated multi-service RANs. In this article, we devise a novel multi-service RAN environment, i.e., RAN runtime, capable to support slice orchestration procedures and to enable flexible customization of slices as per tenant needs. Each network slice can exploit a number of services, which can either be dedicated or shared between multiple slices over a common RAN. The novel architecture we present concentrates on the orchestration and management systems. It interacts with the RAN modules, through the RAN runtime, via a number of new interfaces enabling a customized dedicated orchestration logic for each slice. We present results for a disaggregated UDN deployment where the RAN runtime is used to support slice-based multi-service chain creation and chain placement, with an auto-scaling mechanism to increase the performance.

Published
2018
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8. General Model for RACH Procedure Performance Analysis

Author

Adlen Ksentini, Osama Arouk, Dependability Interoperability and perfOrmance aNalYsiS Of networkS (DIONYSOS), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)

Subjects
Computer science, 020302 automobile design & engineering, 020206 networking & telecommunications, 02 engineering and technology, Computer Science Applications, Network congestion, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0203 mechanical engineering, Random-access channel, Modeling and Simulation, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Focus (optics), Algorithm, Beta distribution, Simulation, ComputingMilieux_MISCELLANEOUS
Abstract

This letter introduces an analytical model aiming at modeling the performance of the Random Access CHannel (RACH) procedure, with a special focus on the case of highly synchronized machine type communication (MTC) traffic activated according to beta distribution. The accuracy of the proposed model is then verified through computer simulation. Obtained results demonstrate the effectiveness of the model to capture the RACH procedure behavior when MTC devices are activated in a highly synchronized way. Note that 1) the proposed model is not dedicated only to beta distribution, but other distributions could be used and 2) this model could be used with any congestion control method managing the number of new arrivals, such as access class barring (ACB).

Published
2016
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9. How accurate is the RACH procedure model in LTE and LTE-A?

Author

Adlen Ksentini, Tarik Taleb, and Osama Arouk

Subjects
ta113, business.industry, Computer science, Multichannel slotted ALOHA, Balls and bins problem, RACH procedure, 020302 automobile design & engineering, 020206 networking & telecommunications, Context (language use), 02 engineering and technology, LTE-A, Term (time), LTE Advanced, LTE, Base station, 0203 mechanical engineering, Random-access channel, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, business, Computer network, Communication channel
Abstract

In Long Term Evolution (LTE) networks, User Equipments (UE)s should proceed Random Access CHannel (RACH) procedure to attach to the Base Station and access the channel. One limitation of this procedure is the congestion that may appear when high number of UEs are simultaneously trying to attach to the channel. Such use-case happens when high number of Machine Type Communication (MTC) devices are deployed in one LTE cell. In order to evaluate the RACH performances, in terms of success, collision and idle probabilities, when the traffic load is high, accurate models are needed. However, most of existing models ignore one important constraint, which is the fact that the eNB can knowledge only a limited number of UEs in each RACH round, leading to a mis-formulation of these metrics in the context of LTE, and especially in the presence of high number of devices competing for the channel access. In this paper, we tackle the above-mentioned issue by devising a new model for the RACH procedure taking in consideration this constraint. Computer simulation demonstrates that unlike the existing models, our proposed model achieve high accuracy to estimate the performance of the RACH procedure, whatever the traffic load.

Published
2016

10. Performance Analysis of RACH procedure with Beta Traffic-Activated Machine-Type-Communication

Author

Osama Arouk, Tarik Taleb, Adlen Ksentini, Dependability Interoperability and perfOrmance aNalYsiS Of networkS (DIONYSOS), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Department of Communications and Networking [Aalto Univ], School of Electrical Engineering [Aalto Univ], Aalto University-Aalto University, CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)

Subjects
ta113, Radio access network, Smart system, ta213, Computer science, business.industry, ta111, Cyber-physical system, Core network, 020206 networking & telecommunications, 02 engineering and technology, Network congestion, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Smart grid, Smart city, Telecommunications link, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Network performance, business, ta512, Random access, Computer network
Abstract

International audience; Machine-Type-Communication (MTC) is a keyenabler for a variety of novel smart systems, such as smartgrid, eHealth, Intelligent Transport System (ITS), and smart city,opening the area of the cyber physical systems. These systems mayrequire the use of a huge number of MTC devices, which will puta great pressure on the whole network, i.e. Radio Access Network(RAN) and Core Network (CN) parts, resulting in the shapeof congestion and system overload. Aiming at better evaluatingthe network performance under the existence of MTC trafficand also the effectiveness of the congestion control methods, the3rd Generation Partnership Project (3GPP) group has proposedtwo traffic models: Uniform Distribution (over 60 s) and BetaDistribution (over 10 s). In this paper, a recursive operationbasedanalytical model, namely General Recursive Estimation(GRE), for modeling the performance of RACH procedure inthe existence of MTC with Beta traffic is proposed. In order toshow the effectiveness of our analytical model GRE, many metricshave been considered, such as the total number of MTC devicesin each Random Access (RA) slot, the number of success MTCdevices in each RA slot, and the Cumulative Distribution Function(CDF) of preamble transmission. Numerical results demonstratethe accuracy of GRE. Moreover, our model GRE could be usedto model the performance of RACH procedure with any type oftraffic.

Published
2015

11. Group Paging Optimization For Machine-Type-Communications

Author

Adlen Ksentini, Tarik Taleb, Osama Arouk, Dependability Interoperability and perfOrmance aNalYsiS Of networkS (DIONYSOS), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Department of Communications and Networking [Aalto Univ], School of Electrical Engineering [Aalto Univ], Aalto University-Aalto University, Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), and Ksentini, Adlen

Subjects
Radio access network, Service (systems architecture), [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Computer science, business.industry, Quality of service, 05 social sciences, 050801 communication & media studies, 020206 networking & telecommunications, 02 engineering and technology, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, Software deployment, 0202 electrical engineering, electronic engineering, information engineering, Paging, business, 5G, Computer network
Abstract

International audience; Machine-Type-Communication (MTC) is a promisingservice of the envisioned 5G mobile networks. However,deploying a massive number of MTC devices in these networksremains a challenge due to the overload that may appear atthe Radio Access Network (RAN), hence degrading the Qualityof Services (QoS) for both MTC and Non-MTC devices. Oneof the methods used to address the congestion’s problem inRAN is Group Paging (GP), wherein a single message is usedto activate a group of devices. Whilst the GP method has severaladvantages, its performance quickly decreases when the numberof MTC devices increases. In this paper, we devise a new method,namely Traffic Scattering For Group Paging (TSFGP) to improvethe performance of the GP method for massive deployment ofMTC devices. Numerical results demonstrate that TSFGP highlyimproves the performance of GP in terms of several performancemetrics, such as success probability, collision probability, andaccess delay.

Published
2015

12. Multi-Channel Slotted Aloha Optimization for Machine-Type-Communication

Author

Adlen Ksentini, Osama Arouk, Dependability Interoperability and perfOrmance aNalYsiS Of networkS (DIONYSOS), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)

Subjects
Radio access network, Optimal estimation, Computer science, business.industry, 05 social sciences, Core network, 050801 communication & media studies, 020206 networking & telecommunications, 02 engineering and technology, Type (model theory), Network congestion, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, Aloha, 0202 electrical engineering, electronic engineering, information engineering, business, Random access, ComputingMilieux_MISCELLANEOUS, Communication channel, Computer network
Abstract

Deploying a massive number of MTC (Machine - Type - Communication) devices in the current cellular mobile networks represents a great challenge as they may cause congestion and system overload for both RAN (Radio Access Network) and CN (Core Network) parts. To address this issue, we propose a novel algorithm, named Multi-Channel Slotted ALOHA-Optimal Estimation (MCSA-OE), which estimates the network status (the number of active devices), and thus better controlling the RAN access. Unlike most existing methods that consider only one channel, MCSA-OE uses the statistics of all the channels in order to estimate the number of arrivals (UE and MTC devices) in each RA (Random Access) slot. Simulation results demonstrate that MCSA-OE well tracks the number of arrivals as long as they are smaller than ln(RR), where R is the number of channels. Moreover, we propose to use MCSA-OE estimation to dynamically adjust the acbBarringFactor of the Access Class Barring (ACB) mechanism. Again, simulation results show that the behavior of our proposition merely tends to that of the best acknowledgment case, i.e. when the number of arrivals in each RA slot is well known.

Published
2014

13. On Improving the Group Paging Method For Machine-type-Communications

Author

Osama Arouk, Adlen Ksentini, Yassine Hadjadj-Aoul, Tarik Taleb, Dependability Interoperability and perfOrmance aNalYsiS Of networkS (DIONYSOS), Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES (IRISA-D2), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), NEC Europe Ltd., Network Laboratories, NEC Corporation, CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), and Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)

Subjects
Service (systems architecture), Radio access network, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Computer science, business.industry, sync, Paging, Context (language use), State (computer science), business, ComputingMilieux_MISCELLANEOUS, Computer network
Abstract

Machine-type-Communication (MTC) is seen as a major service in next generation cellular mobile networks. However, the forecasted very large number of MTC devices may overload the RAN (Radio Access Network) part of the network, which may impact Non-MTC communications. Group paging is considered as one of the most efficient mechanisms proposed to alleviate the problem of the RAN overload. In this paper, we introduce a new solution to improve the performance of the current group paging method and overcome its disadvantages. The proposed solution is intended for MTC devices in the RRC CONNECTED OUT OF SYNC state, in which MTC devices have an RRC context without being synchronized with the network. Numerical results demonstrate that the proposed solution highly improves the performance of existing group paging mechanisms.

Published
2014

14. Multi-objective placement of virtual network function chains in 5G

Author

Thierry Turletti, Navid Nikaein, Osama Arouk, Design, Implementation and Analysis of Networking Architectures (DIANA), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), EURECOM, Eurecom [Sophia Antipolis]-Centre National de la Recherche Scientifique (CNRS), ANR-11-LABX-0031,UCN@SOPHIA,Réseau orienté utilisateur(2011), European Project: 762057,H2020,5G-PICTURE(2017), Turletti, Thierry, Laboratoires d'excellence - Réseau orienté utilisateur - - UCN@SOPHIA2011 - ANR-11-LABX-0031 - LABX - VALID, and 5G Programmable Infrastructure Converging disaggregated neTwork and compUte REsources - 5G-PICTURE - - H20202017-06-01 - 2019-11-30 - 762057 - VALID

Subjects
Speedup, Computer science, Distributed computing, Real-time computing, 050801 communication & media studies, Cloud computing, 02 engineering and technology, Base station, NFV, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 0508 media and communications, 0202 electrical engineering, electronic engineering, information engineering, Virtual network, Radio access network, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], business.industry, 05 social sciences, 020206 networking & telecommunications, Load balancing (computing), Embedding, C-RAN, business, 5G, function split, function placement
Abstract

International audience; In this paper we propose a novel algorithm, namely Multi-Objective Placement (MOP), for the efficient placement of Virtualized Network Function (VNF) chains in future 5G systems. Real datasets are used to evaluate the performance of MOP in terms of acceptance ratio and embedding time when placing the time critical radio access network (RAN) functions as a chain. In addition, we rely on a realistic infrastructure topology to assess the performance of MOP with two main objectives: maximizing the number of base stations that could be embedded in the Cloud and load balancing. The results reveal that the acceptance ratio of embedding RAN functions is only 5% less than the one obtained with the optimal solution for the majority of considered scenarios, with a speedup factor of up to 2000 times.

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