北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2016, Vol. 39 ›› Issue (2): 93-97.doi: 10.13190/j.jbupt.2016.02.019

• 研究报告 • 上一篇    下一篇

结合功率分配的干扰对齐预编码优化算法

李一兵1, 张新忠1, 黄诚1, 王英赫2   

  1. 1. 哈尔滨工程大学 通信工程学院, 哈尔滨 150001;
    2. 上海电机学院, 上海 200240
  • 收稿日期:2015-04-24 出版日期:2016-04-28 发布日期:2016-04-28
  • 作者简介:李一兵(1967-),男,教授,E-mail:liyibing@hrbeu.edu.cn.
  • 基金资助:

    国家自然科学基金项目(61301095)

Interference Alignment Precoding Optimization Algorithm Based on Power Allocation

LI Yi-bing1, ZHANG Xin-zhong1, HUANG Cheng1, WANG Ying-he2   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2015-04-24 Online:2016-04-28 Published:2016-04-28

摘要:

针对K用户多输入多输出干扰信道系统提出了一种基于功率分配预编码优化算法.首先通过信道的奇异值分解,基于矩阵弦距离,选出一组与最好的特征子信道最为匹配的预编码矩阵来传输信号,然后根据信道矩阵信息的强弱进行功率分配,从而对预编码矩阵进行优化,可最大化保证接收信号的强度.仿真结果表明,该算法未用迭代计算预编码矩阵和接收抑制矩阵,不仅使整个系统的复杂度大大降低,而且在系统和速率有微小损失的情况下,提高了系统的误码率性能.

关键词: 信道状态信息, 干扰对齐, 功率分配, 奇异值分解

Abstract:

The interference alignment is a transmission technology which aligns interference signal from other transmitters to the same signal subspace for reducing the interference to the desired signal. In recent years this technology has been widespread concerned. An interference alignment precoding optimization algorithm based on power allocation was proposed for the K user multiple input multiple output (MIMO) interference channel system. First, the signal is transmitted according to the best matching of the precoding matrix with the best feature sub channel based on the chord distance matrix by the singular value decomposition of the channel. Then the power allocation is assigned according to the channel matrix strength and also the precoding matrix is optimized. This method can ensure the signal strength maximally. Furthermore, the proposed algorithms calculate the precoding matrix and the receiver inhibition matrix without iteration. Simulation shows that this method not only reduces the complexity of the system, but also improves the bit error rate (BER) performance.

Key words: channel state information, interference alignment, power allocation, singular value decomposition

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