计算机科学 ›› 2010, Vol. 37 ›› Issue (4): 71-.

• 计算机网络与信息安全 • 上一篇    下一篇

块对角化预编码下的用户选择技术

尚鹏,朱光喜,苏钢,谭力   

  1. (华中科技大学电子与信息工程系 武汉430074),(武汉光电国家实验室 武汉430074)
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受国际科技合作计划(2008DFA11630) ,国家自然科学基金项目(60496315)和(60802009), 国家“86"重点基金项目(2008AA01Z204)和(2009aA01Z205),湖北省自然科学基金(2007ABA008),博士后基金一等(20070410279)资助。

Multi-user Selection with Block Diagonalization Precoding

SHANG Peng,ZHU Guang-xi,SU Gang,TAN Li   

  • Online:2018-12-01 Published:2018-12-01

摘要: 针对下行多用户多天线系统(MU-M工MO)的资源分配和用户调度,提出了一种基于遗传算法(GA)的多用户比例公平调度算法,并通过在初始群体中加入具有优秀基因的个体并保持其基因稳定性,加快了遗传算法的收敛性。基站端采用块对角化预编码机制来消除用户间千扰,并在保证用户间速率比例公平的前提下最大化系统吞吐量,在同一时刻选择最优用户集来传输。此外,分析了信道反馈错误对该系统的影响。仿真与分析表明,提出的基本算法与改进算法在公平性和系统的吞吐量方面取得了较好的折中,同时算法复杂度比较低。

关键词: MIMO,多用户分集,块对角化,比例公平,遗传算法

Abstract: For the resource allocation and scheduling of downlink multi user multiple input multiple output (MU-MIMO) system, a multi-user proportional fair scheduling scheme based on genetic algorithms (GA) was proposed. By adding some good-gene individuals to the initial population and keeping its gene stable, the convergence of GA was greatly accelerated. Specifically,the base station exploited 131ock Diagonalization (BD) precoding technique to eliminate the inter-user interference. To guarantee the fairness while maintaining the throughput performance, a subset of users was selected to serve at one time slot Moreover, the impact of feedback error on the channel state information was analyzed. Simulation results show that both schemes can achieve a good tradeoff between fairness and throughput with low computational complexity compared with other scheduling schemes.

Key words: MIMO, Multiuser diversity, I31ock diagonalization, Proportional fairness, Genetic algorithm

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