Uplink multi-user MIMO OFDM enhancement using genetically improved turbo receiver

被引：0
|
作者：
Jiang, M.
Lestable, T.
Cho, Y.
机构：
来源：
2007 IEEE 66TH VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-5 | 2007年
关键词：
Genetic Algorithm (GA); iterative channel estimation; Multiple-Input Multiple-Output (MIMO); multi-user detection (MUD); Orthogonal Frequency Division Multiplexing (OFDM); soft-input soft-output; turbo processing; Wireless world INitiative NEw Radio (WINNER);
D O I：
10.1109/VETECF.2007.98
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Despite the assistance of well-recognized hot technologies such as Multiple-Input Multiple-Output (MIMO) and Orthogonal Frequency Division Multiplexing (OFDM), cell-edge mobile users still suffer significant performance degradation in uplink, thus restricting the system coverage. In the context of the European B3G/4G WINNER system, we propose a hybrid solution which takes the advantages of both Genetic Algorithm (GA) and turbo processing, resulting in an enhanced MIMO OFDM receiver. Simulation results show that the proposed scheme is capable of achieving a good link performance, whilst improving the robustness of the multi-links and thus the cell coverage.
引用
收藏
页码：412 / 416
页数：5
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