[DPl17] Energy-Efficiency Based Resource Allocation Framework for Cognitive Radio Networks with FBMC/OFDM

Revue Internationale avec comité de lecture : Journal IEEE Transactions on Vehicular Technology, vol. 66(6), pp. 4997-5013, 2017
Résumé: In this paper, we study resource allocation for a multi-carrier-based cognitive radio network. More specifically, we investigate the problem of secondary users’ energy-efficiency (EE) maximization problem under secondary total power and primary interference constraints. Firstly, assuming cooperation among the secondary base stations (BSs), a centralized approach is considered to solve the EE optimization problem for the CR network where the primary and secondary users are using either orthogonal frequency-division multiplexing (OFDM) or filter bank based multi-carrier (FBMC) modulations. We propose an alternating-based approach to solve the joint powersubcarrier allocation problem. More importantly, in the first place, subcarriers are allocated using a heuristic method for a given feasible power allocation. Then, we conservatively approximate the non-convex power control problem and propose a joint Successive Convex Approximation-Dinkelbach Algorithm (SCADA) to efficiently obtain a solution to the non-convex power control problem. The proposed algorithm is shown to converge to a solution that coincides with the stationary point of the original non-convex power control subproblem. Moreover, we propose a dual decomposition-based decentralized version of SCADA. Secondly, under the assumption of no cooperation among the secondary BSs, we propose a fully distributed power control algorithm from the perspective of game theory. The proposed algorithm is shown to converge to a Nash-equilibrium (NE) point. Moreover, we propose a sufficient condition that guarantees uniqueness of the achieved NE. Extensive simulation analyses are further provided to highlight the advantages and demonstrate the efficiency of our proposed schemes.


@article {
title="{Energy-Efficiency Based Resource Allocation Framework for Cognitive Radio Networks with FBMC/OFDM}",
author="J. Denis and M. Pischella and D. le Ruyet",
journal="IEEE Transactions on Vehicular Technology",