期刊文献+

基于免疫遗传算法的两跳OFDM-Relay系统的资源联合优化 被引量:2

Joint Optimization for Two-Hop OFDM-Relay System Based on Immunity Genetic Algorithms
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摘要 针对再生中继方式,分析了基于正交频分复用(OFDM)的两跳中继系统的功率和带宽的联合优化,并以最大化端到端的信息速率为优化准则,给出了两跳的次优带宽分配策略和相应的功率分配注水定理算法.同时,基于免疫遗传算法(IGA)提出了两跳子载波配对的方案.仿真结果表明,资源联合优化与传统的平均资源分配相比,显著提高了系统容量,且功率优化的作用强于带宽优化.通过子载波配对方案能进一步增强系统性能. Based on the decode-and-forward relaying mode, a joint optimization scheme of power and bandwidth was analyzed for two-hop relaying system with orthogonal frequency division multiplexing (OFDM). Taking the maximum end-to-end data rate as the optimization criterion, the sub-optimal bandwidth allocation and corresponding power allocation strategies according to the water-filling theory were presented. Meanwhile, a subcarrier paring strategy for two hops was proposed based on the immunity genetic algorithms (IGA). The simulation results show that the proposed scheme can significantly improve the system capacity compared with the uniform resource allocation strategy, and the effect of power optimization is stronger than that of bandwidth allocation. Moreover, the subcarrier paring strategy can further enhance the system performance.
出处 《北京邮电大学学报》 EI CAS CSCD 北大核心 2007年第3期70-74,共5页 Journal of Beijing University of Posts and Telecommunications
基金 国家自然科学基金项目(60496312) 爱立信公司资助项目
关键词 两跳中继系统 联合优化 免疫遗传算法 子载波配对方案 two-hop relaying joint optimization immunity genetic algorithms subcarrier paring strategy
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