Mean Field Game-Theoretic Framework for Distributed Power Control in Hybrid NOMA - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Wireless Communications Année : 2022

Mean Field Game-Theoretic Framework for Distributed Power Control in Hybrid NOMA

Résumé

The steady expansion of the number of wireless devices and the ubiquity of the networks give rise to various interesting challenges for the future sixth generation (6G) of wireless communication systems. Particularly, the operators have to handle massive connectivity among Machine Type Devices (MTDs) and increasing demand for eMMB through limited spectrum resources. Non-Orthogonal Multiple Access (NOMA) has been spotlighted as an emerging technology to meet the above-mentioned challenges. In this paper, we consider a densely deployed network in which users are divided into NOMA coalitions. Firstly, we model the power allocation problem as a differential game. Then, we extend the formulated game using a Mean Field Game (MFG) theoretic framework by considering the effect of the collective behavior of devices. Furthermore, we derive a distributed power control algorithm that enables the users to appropriately regulate their transmit power according to brief information received from the BS. Indeed, the analysis of the proposed approach is governed by the two fundamental Hamilton- Jacobi-Bellman (HJB) and Fokker-Planck-Kolmogorov (FPK) equations. Numerical results are presented to analyze the equilibrium behaviors of the proposed power control algorithm and to demonstrate the effectiveness of the formulated MFG compared to existing works in the literature.
Fichier non déposé

Dates et versions

hal-03933480 , version 1 (10-01-2023)

Identifiants

Citer

Amani Benamor, Oussama Habachi, Ines Kammoun, Jean-Pierre Cances. Mean Field Game-Theoretic Framework for Distributed Power Control in Hybrid NOMA. IEEE Transactions on Wireless Communications, 2022, 21 (12), pp.10502-10514. ⟨10.1109/TWC.2022.3184623⟩. ⟨hal-03933480⟩
18 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More