User Selection for Mazimum Sum-rate in Multiuser and MISO System with Evolutionary Algorithm
In this paper, departing from perfect knowledge on the channel state information at the base station transmitter, we introduce a novel evolutionary algorithm that is based upon the principles of natural evolution and allows for an optimum mobile user selection in a multi-user multiple-input single-output (MISO) system. The algorithm achieves the maximum sum-rate for given degrees of spatial multiplexing and multi-user diversity. According to optimal or sub-optimal system capacity schemes, the proposed intelligent algorithm selects a user combination for a fixed number of users within few generation iterations. Therefore, our method represents a practical candidate scheme for downlink data transmissions.
Cross-layer user selection mazimum sumrate evolutionary algorithm
Mingyan Jiang Francisco Rubio Yong Wang Jesús Gómez Dongfeng Yuan
Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Av.del Canal Olímpic s/n, 08860 Castelld Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Av.del Canal Olímpic s/n, 08860 Castelld School of Information Science and Engineering, Shandong University, Jinan, 250100 China,
国际会议
首届无线通信跨层设计国际学术研讨会(1st International Workshop on Cross Layer Design)
济南
英文
1-4
2007-09-20(万方平台首次上网日期,不代表论文的发表时间)