New Interference Alignment Algorithms Based on Desired Signals for Two-Cell MIMO Interfering Multiple-Access Channels

被引：6

作者：

Bai, Lijun ^{[1
,2
]}

Hao, Li ^{[1
]}

机构：

[1] Southwest Jiaotong Univ, Key Lab Informat Coding & Transmiss, Chengdu 610031, Peoples R China

[2] Sichuan Univ Sci & Engn, Coll Sci, Zigong 643000, Peoples R China

来源：

IEEE COMMUNICATIONS LETTERS | 2015年 / 19卷 / 06期

基金：

中国国家自然科学基金;

关键词：

Multiple-access channel; interference alignment; limited feedback; MIMO; LIMITED FEEDBACK; PERFORMANCE; FREEDOM;

D O I：

10.1109/LCOMM.2015.2424431

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

In this paper, we propose two new iterative algorithms termed maximum-power interference alignment (MP-IA) and maximum-SINR IA (MSINR-IA) in two-cell multiple-input multiple-output (MIMO) interfering multiple-access channels (IMACs) which optimize the IA reference vectors from the perspective of maximizing the effective power of the desired signals and received signal to interference and noise (SINR), respectively. Under perfect feedback as well as limited feedback scenarios, the proposed schemes are evaluated in terms of the average sum rate and bit error rate (BER) performance and the simulation results show the advantages of the proposed schemes over existing algorithms.

引用

页码：997 / 1000

页数：4