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This paper presents a novel approach to network management by integrating intent-based networking (IBN) with knowledge graphs (KGs), creating a more intuitive and efficient pipeline for service orchestration. By mapping high-level business intents onto network configurations using KGs, the system dynamically adapts to network changes and service demands, ensuring optimal performance and resource allocation. We utilize knowledge graph embedding (KGE) to acquire context information from the network and service providers. The KGE model is trained using a custom KG and Gaussian embedding model and maps intents to services via service prediction and intent validation processes. The proposed intent lifecycle enables intent translation and assurance by only deploying validated intents according to network and resource availability. We evaluate the trained model for its efficiency in service mapping and intent validation tasks using simulated environments and extensive experiments. The service prediction and intent verification accuracy greater than 80 percent is achieved for the trained KGE model on a custom service orchestration intent knowledge graph (IKG) based on TMForum's intent common model., Comment: Accepted at WIN 2024 (IEEE NetSoft24)

AcubeSAT is an open-source CubeSat mission aiming to explore the effects of microgravity and radiation on eukaryotic cells using a compact microfluidic LoC platform. It is developed by SpaceDot, a volunteer, interdisciplinary student team at the Aristotle University of Thessaloniki and supported by the "Fly Your Satellite! 3" program of the ESA Education Office. The scientific data of the mission is comprised of microscope images captured through the on-board integrated camera setup. As the total size of the payload data is expected to be close to 2GB over 12 months, a fast and efficient downlink fulfilling the restrictive power, cost and complexity budgets is required. Currently, there is no open-source communications system design which fully supports these specific constraints, so we opted to develop our own solutions. The antenna system underwent multiple iterations as the design matured, a process highly aided by the feedback received from the ESA experts. The final communications system configuration consists of an S-band microstrip antenna operating at 2.4GHz and a UHF deployable antenna, for the payload data and TM&TC respectively, both in-house designed. In this paper, we will present AcubeSAT's antenna system iterations that span over 3 years, as well as the rationale and analysis results behind each. The development decisions will be highlighted throughout the paper in an effort to aid in the future development of such a low-cost CubeSat mission communications system., Comment: 74th International Astronautical Congress

Intent-based networking (IBN) facilitates the representation of consumer expectations in a declarative and domain-independent form. However, mapping intents to service and resource models remains an open challenge. IBN requires handling existing system data in a structured yet flexible structure way. Knowledge graphs provide an efficient conceptual framework for constructing contexts and organizing known information. We utilize knowledge graphs to construct a knowledge-based for modeling of intents in the networking domain. In addition, this work also proposes a knowledge-based intent modeling and processing methodology, extending the standardized intent common model proposed by TM Forum for next-generation cellular networks and services. The proposed knowledge-based IBN approach is demonstrated for next-generation cellular services, validating its potential., Comment: Accepted at MeditCom 2023

Intent-based networking (IBN) provides a promising approach for managing networks and orchestrating services in beyond 5G (B5G) deployments using modern service-based architectures. Public safety (PS) services form the basis of keeping society functional, owing to the responsiveness and availability throughout the network. The provisioning of these services requires efficient and agile network management techniques with low-overhead and embedded intelligence. IBN incorporates the service subscribers in a model-driven approach to provision different user-centric services. However, it requires domain-specific and contextual processing of intents for abstracted management of network functions. This work proposes an intent definition for PS and mission critical (MC) services in beyond B5G networks, as well as a processing and orchestration architecture on top of MC push-to-talk (PTT) use case. The simulation results show that MC PTT services adhere to the key performance indicators of access time and mouth-to-ear latency bounded by approximately 250 and 150 milliseconds, respectively, with an additional overhead experienced during the intent processing in the range of 20- 40 milliseconds. This validates the premise of IBN in providing flexible and scalable management and service orchestration solution for PS next generation networks., Comment: Accepted for Publication at WIN2022 (under IEEE NetSoft 2022 Conference)

Intent-driven networks are an essential stepping stone in the evolution of network and service management towards a truly autonomous paradigm. User centric intents provide an abstracted means of impacting the design, provisioning, deployment and assurance of network infrastructure and services with the help of service level agreements and minimum network capability exposure. The concept of Intent Based Networking (IBN) poses several challenges in terms of the contextual definition of intents, role of different stakeholders, and a generalized architecture. In this review, we provide a comprehensive analysis of the state-of-the-art in IBN including the intent description models, intent lifecycle management, significance of IBN and a generalized architectural framework along with challenges and prospects for IBN in future cellular networks. An analytical study is performed on the data collected from relevant studies primarily focusing on the inter-working of IBN with softwarized networking based on NFV/SDN infrastructures. Critical functions required in the IBN management and service model design are explored with different abstract modeling techniques and a converged architectural framework is proposed. The key findings include: (1) benefits and role of IBN in autonomous networking, (2) improvements needed to integrate intents as fundamental policies for service modeling and network management, (3) need for appropriate representation models for intents in domain agnostic abstract manner, and (4) need to include learning as a fundamental function in autonomous networks. These observations provide the basis for in-depth investigation and standardization efforts for IBN as a fundamental network management paradigm in beyond 5G cellular networks.

Future networks will pave the way for a myriad of applications with different requirements and Wi-Fi will play an important role in local area networks. This is why network slicing is proposed by 5G networks, allowing to offer multiple logical networks tailored to the different user requirements, over a common infrastructure. However, this is not supported by current Wi-Fi networks. In this paper, we propose a standard-compliant network slicing approach for the radio access segment of Wi-Fi by defining multiple Service Set Identifiers (SSIDs) per Access Point (AP). We present two algorithms, one that assigns resources according to the requirements of slices in a static way, and another that dynamically configures the slices according to the network's conditions and relevant Key Performance Indicators (KPIs). The proposed algorithms were validated through extensive simulations, conducted in the ns-3 network simulator, and complemented by theoretical assessments. The obtained results reveal that the two proposed slicing approaches outperform today's Wi-Fi access technique, reaching lower error probability for bandwidth intensive slices and lower latency for time-critical slices. Simultaneously, the proposed approach is up to 32 times more energy efficient, when considering slices tailored for low-power and low-bandwidth devices, while increasing the overall spectrum efficiency., Comment: 9 pages, 8 figures, to be published in the 17th IFIP/IEEE International Symposium on Integrated Network Management (IM 2021)

A well-known property of linear resistive electrical networks is that the current distribution minimizes the total dissipated energy. When the circuit includes resistors with nonlinear monotonic characteristic, the current distribution minimizes in general a different functional. We show that, if the nonlinear characteristic is a threshold-like function and the energy generator is concentrated in a single point, as in the case of lightning or dielectric discharge, then the current flow is concentrated along a single path, which is a minimum path to the ground with respect to the threshold. We also propose a dynamic model that explains and qualitatively reproduces the lightning transient behaviour: initial generation of several plasma branches and subsequent dismissal of all branches but the one reaching the ground first, which is the optimal one.