Research Article
Efficient Power Allocation Approach for Asynchronous Cognitive Radio Networks with FBMC/OFDM
@INPROCEEDINGS{10.1007/978-3-319-40352-6_33, author={Juwendo Denis and Mylene Pischella and Didier Ruyet}, title={Efficient Power Allocation Approach for Asynchronous Cognitive Radio Networks with FBMC/OFDM}, proceedings={Cognitive Radio Oriented Wireless Networks. 11th International Conference, CROWNCOM 2016, Grenoble, France, May 30 - June 1, 2016, Proceedings}, proceedings_a={CROWNCOM}, year={2016}, month={6}, keywords={FBMC OFDM Cognitive radio Game theory Resource allocation}, doi={10.1007/978-3-319-40352-6_33} }- Juwendo Denis
Mylene Pischella
Didier Ruyet
Year: 2016
Efficient Power Allocation Approach for Asynchronous Cognitive Radio Networks with FBMC/OFDM
CROWNCOM
Springer
DOI: 10.1007/978-3-319-40352-6_33
Abstract
In this paper, we address the problem of power minimization under rate constraint for a multi-carrier-based underlay cognitive radio (CR) network. In fact, both primary users (PUs) and secondary users (SUs) employ either orthogonal frequency-division multiplexing (OFDM) or filter bank based multi-carrier (FBMC). The problem is formulated as a non-cooperative interference pricing-based game (NPBG) in order to circumvent the coupling primary interference constraint and also to propose distributed solutions. We provide a sufficient convergence condition to a Nash-equilibrium (NE) point for the modified water-filling algorithm. Moreover, we propose a distributed algorithm that always converges to a unique NE of the NPBG. Simulation analyses are then provided to demonstrate the efficiency of our proposed distributed algorithms. Furthermore, the simulations enhance the advantages of using FBMC as a modulation technique if compared to OFDM.