Joint Optimization for Two-hop OFDM-relay System Based on Immunity Genetic Algorithms

doi:10.13190/jbupt.200703.70.wut

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2007, Vol. 30 ›› Issue (3): 70-74.doi: 10.13190/jbupt.200703.70.wut

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Joint Optimization for Two-hop OFDM-relay System Based on Immunity Genetic Algorithms

WU Tong, QU Xin-chun, WANG Ying

Key Laboratory of Ubiquitous Wireless Communication, Ministry of Education,
Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2006-07-13 Revised:2006-11-01 Online:2007-06-30 Published:2007-06-30
Contact: WU Tong

Abstract

Abstract:

Based on the decode-and-forward relaying mode, the joint resource optimization was analyzed for both power and bandwidth in two-hop OFDM-relay system. Taking the maximum end-to-end data rate as optimization criterion, the bandwidth allocation results of the two-hop is presented and the power allocation according to the water-filling algorithm in this situation is also proposed. At the same time, a matching scheme for two-hop sub-carriers was proposed based on the “Immunity Genetic Algorithms”(IGA). The simulation results show that compared with the uniform resource allocation scheme, the proposed joint optimization scheme can improve the system capacity, and the effect from power optimization is stronger than that of bandwidth. The system performance can be enhanced further by the matching scheme for sub-carriers.

Key words: OFDM-relay, joint optimization, IGA, matching sub-carriers

CLC Number:

TN915

WU Tong, QU Xin-chun, WANG Ying. Joint Optimization for Two-hop OFDM-relay System Based on Immunity Genetic Algorithms[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2007, 30(3): 70-74.

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Joint Optimization for Two-hop OFDM-relay System Based on Immunity Genetic Algorithms

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