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Call Admission Control Optimization in 5G in Downlink Single-Cell MISO System

Slalmi Ahmed, Chaibi Hasna, Saadane Rachid et Chehri Abdellah. (2021). Call Admission Control Optimization in 5G in Downlink Single-Cell MISO System. Procedia Computer Science, 192, p. 2502-2511.

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The main goal ofNew Radio 5G (NR) mobile technology is to support three generic service categories, each with very specific requirements. The first category is enhanced Mobile Broadband (eMBB), the second category relates to massive Machine-Type Communications (mMTC), and the third category relates to ultra-Reliable Low Latency Communications (URLLC). The slicing of the radio part of 5G network access network has greatly contributed to the emergence of these three categories of service with different qualities of service. This division therefore enabled the network to reserve the necessary resources for each category of services, orthogonally, and according to the performance required. In this article, we have dealt with the problem of Call Admission Control (CAC) in 5G networks where we have considered the case of the only two categories eMBB and uRLLC, which their users are served by a single cell. We calculated the maximum eMBB users admitted into the system with guaranteed data rate, while allocating power, bandwidth, and beamforming directions to all uRLLC users whose latency requirements and reliability are always guaranteed. We only considered the downlink communication, and we used the case of the multiple-input single-output (MISO) system. This CAC problem is formulated as a minimization problem l0 which is known as NP-hard problem. We therefore chose to use Sequential Convex Programming (SCP) to find a suboptimal solution to the problem.

Type de document:Article publié dans une revue avec comité d'évaluation
Pages:p. 2502-2511
Version évaluée par les pairs:Oui
Identifiant unique:10.1016/j.procs.2021.09.019
Sujets:Sciences naturelles et génie > Génie
Sciences naturelles et génie > Génie > Génie informatique et génie logiciel
Sciences naturelles et génie > Sciences appliquées
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées > Module d'ingénierie
Mots-clés:5G NR, eMBB, uRLLC, MISO, beamforming, optimization sequential convex programming, formation de faisceau, optimisation de la programmation convexe séquentielle
Déposé le:20 avr. 2022 15:26
Dernière modification:09 févr. 2023 15:54
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Creative Commons LicenseSauf indication contraire, les documents archivés dans Constellation sont rendus disponibles selon les termes de la licence Creative Commons "Paternité, pas d'utilisation commerciale, pas de modification" 2.5 Canada.

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