[1]李晓婷. 大规模MIMO双向中继系统的功率分配[J].计算机技术与发展,2017,27(02):143-146.
　LI Xiao-ting. Power Allocation of Massive MIMO Two-way Relay System[J].,2017,27(02):143-146.
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 大规模MIMO双向中继系统的功率分配()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年02期
页码:
143-146
栏目:
应用开发研究
出版日期:
2017-02-10

文章信息/Info

Title:
 Power Allocation of Massive MIMO Two-way Relay System
文章编号:
1673-629X（2017)02-0143-04
作者:
 李晓婷
 南京邮电大学通信与信息工程学院
Author(s):
 LI Xiao-ting
关键词:
 ; 双向中继; MIMO; 信道估计; MMSE ; 迫零; 功率分配
Keywords:
 ; two-way relay ; MIMO; channel estimation; MMSE; zero-forcing; power allocation
分类号:
TP302
文献标志码:
A
摘要:
 在中继的发送端和接收端安装大量天线,可以大大地提高系统性能.提出一种大规模MIMO双向中继架构.在每个相干时间间隔内,信息交换发生在三个阶段:训练阶段、多址阶段、广播阶段.在训练阶段,中继通过正交导频序列对所有用户进行独立的信道估计.假设中继已知不完全信道状态信息情况下,设计一个最小均方差(MMSE)滤波器减轻环回干扰,采用迫零(ZF)滤波器进行检测和预编码处理.通过评估此系统中继和目的点的误码率(BER),选出最佳的中继发送功率,并且提出了一种最佳功率分配算法.在满足通信对速率约束条件的情况下,此算法可以算出中继最小发送功率.仿真结果表明,当MMSE滤波器和最佳功率分配算法都被采用的时候,系统将获得更高的能源效率.
Abstract:
 The system performance can be greatly increased when the relay is equipped with a large number of antennas on both transmitter and receiver.A massive MIMO two-way relaying architecture is presented.Within each coherence interval,the information exchange occurs in three phases including the training phase,the multiple-access phase,and the broadcast phase.In the training phase,the relay estimates the channels based on pilots transmitted from the users and the pilot sequences assigned for all users in both groups are pairwisely orthogonal.It assumes the relay knows imperfect channel state information and designs a Minimum Mean-Square Error (MMSE) filter to reduce the interference.Then,Zero-Forcing (ZF) filters is adopted for both detection and precoding.The system performance is evaluated in terms of Bit Error Rate (BER) at both relay and destinations.An optimal power allocation algorithm is put forward that computes the minimum power that satisfies the rate constraints of each pair.Simulation results show that when both MMSE filtering and optimal power allocation algorithm are used,the system achieves higher energy efficiency.

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更新日期/Last Update: 2017-05-11