[1]孙增友,刘玲玉. 一种改进的协作多点多用户预编码算法[J].哈尔滨理工大学学报,2018,(01):127-131.[doi:10. 15938 /j. jhust. 2018. 01. 023]
 SUN Zeng-you,LIU Ling-yu. An Improved Coordinated Multi-point Multi-user Precoding Algorithm[J].哈尔滨理工大学学报,2018,(01):127-131.[doi:10. 15938 /j. jhust. 2018. 01. 023]
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 一种改进的协作多点多用户预编码算法()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2018年01期
页码:
127-131
栏目:
材料科学与工程
出版日期:
2018-02-25

文章信息/Info

Title:
 An Improved Coordinated Multi-point Multi-user Precoding Algorithm
文章编号:
1007- 2683( 2018) 01- 0127- 05
作者:
 孙增友 刘玲玉
 东北电力大学信息工程学院,吉林吉林132012)
Author(s):
 SUN Zeng-you LIU Ling-yu
( School of Information Engineering,Northeast Dianli University,Jilin 132012,China)
关键词:
 协作多点( CoMP) 矩阵分解 多用户干扰 计算复杂度 奇异值分解( SVD
Keywords:
 coordinated multi-point ( CoMP) matrix decomposition multi-user interference computationalcomplexity singular value decomposition ( SVD)
分类号:
TN 914. 53
DOI:
10. 15938 /j. jhust. 2018. 01. 023
文献标志码:
A
摘要:
 在LTE-A 系统中,现有协作多点多用户预编码算法不能同时抑制用户间、用户内部及
噪声干扰,并且计算复杂度较高。针对这两方面的问题,提出了一种改进的线性预编码算法。本文
采用计算复杂度,系统容量和误码率作为评价算法性能的指标,建立了协作多点多用户的系统模
型,并给出了改进算法具体的实施步骤,理论分析了算法的计算复杂度,使用MATLAB 仿真验证了
系统性能。仿真结果表明,该算法在一定程度上能够降低计算复杂度和误码率,且在相同的天线配
置下,该算法的系统容量性能略低于正则块对角化预编码算法。
Abstract:
 In Long Term Evolution-Advanced ( LTE-A) system,existing coordinated multi-point ( CoMP)
multiuser precoding algorithm can not suppress multi-user,intra-user and noise interference at the same time and its
computational complexity is high. To solve these two problems,an improved linear precoding algorithm is
proposed. Computational complexity,system capacity and bit error rate ( BER) as the indicators were used to
evaluate the algorithm performance. We established coordinated multi-point multi-user system model,gave the
improved algorithm specific implementation steps,theoretically analyzed computational complexity of the algorithm,
and used MATLAB to simulate system performance. Simulation results show that the proposed algorithm can reduce
computational complexity and bit error rate to some extent,and the system capacity performance of the proposed
algorithm is slightly inferior to that of regularized block diagonalization algorithm.

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更新日期/Last Update: 2018-05-24