Cooperative Power Allocation Based on Multi-Objective Intelligent Optimization for Multi-Source Multi-Relay Networks

Tian LIANG  Wei HENG  Chao MENG  Guodong ZHANG  

IEICE TRANSACTIONS on Communications   Vol.E97-B    No.9    pp.1938-1946
Publication Date: 2014/09/01
Online ISSN: 1745-1345
DOI: 10.1587/transcom.E97.B.1938
Type of Manuscript: PAPER
Category: Wireless Communication Technologies
cooperation,  power allocation,  free search,  multi-objective optimization,  

Full Text: PDF(1.3MB)>>
Buy this Article

In this paper, we consider multi-source multi-relay power allocation in cooperative wireless networks. A new intelligent optimization algorithm, multi-objective free search (MOFS), is proposed to efficiently allocate cooperative relay power to better support multiple sources transmission. The existence of Pareto optimal solutions is analyzed for the proposed multi-objective power allocation model when the objectives conflict with each other, and the MOFS algorithm is validated using several test functions and metrics taken from the standard literature on evolutionary multi-objective optimization. Simulation results show that the proposed scheme can effectively get the potential optimal solutions of multi-objective power allocation problem, and it can effectively optimize the tradeoff between network sum-rate and fairness in different applications by selection of the corresponding solution.