Title :
Fair and Efficient Relay Selection and Spectrum Allocation for Multi-User and Multi-Relay Cooperative Cellular Networks
Author :
Zhang, Guopeng ; Yang, Kun ; Liu, Peng
Author_Institution :
Internet of Things Res. Center, China Univ. of Min. & Technol., Xuzhou, China
fDate :
10/1/2012 12:00:00 AM
Abstract :
This letter studies the joint relay selection (RS) and spectrum allocation (SA) problem for the multi-user and multi-relay (MUMR) cellular networks. Regarding the amount of spectrum resource that a relay is willing to contribute for a particular user as the cooperative strategy of the relay, the joint RS and SA problem can be formulated as a cooperative bargaining game. Since there exists a unique Nash bargaining solution (NBS) to the game, a Langrangian relaxation with iterative search approach is proposed to find the NBS. By comparing with the maximal-rate and the max-min based RS and SA schemes, simulation results show that the proposed bargaining game approach achieves a fair and efficient rates distribution among the competitive users in the Pareto optimal sense.
Keywords :
Pareto optimisation; cellular radio; cooperative communication; game theory; iterative methods; multi-access systems; search problems; Langrangian relaxation; Nash bargaining solution; Pareto optimal; cooperative bargaining game; iterative search approach; multirelay cooperative cellular network; multiuser cooperative cellular network; relay selection; spectrum allocation; Games; Indexes; Joints; NIST; Relays; Resource management; Simulation; Cooperative relaying; Nash bargaining solution; bargaining game; cooperative diversity;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2012.080312.121309