|
For Full-Text PDF, please login, if you are a member of IEICE,
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
|
Cooperative Power Allocation Based on Multi-Objective Intelligent Optimization for Multi-Source Multi-Relay Networks
Tian LIANG Wei HENG Chao MENG Guodong ZHANG
Publication
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 Keyword: cooperation, power allocation, free search, multi-objective optimization,
Full Text: PDF(1.3MB)>>
Summary:
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.
|
|
|