Distributed Interference Alignment Algorithm for Multiple-Input Multiple-Output Networks with Uncoordinated Interference

被引：0
|
作者：
Liang Zhong
Guangxi Zhu
Zhengmin Kong
Jian Liu
机构：
[1] Huazhong University of Science and Technology,Wuhan National Laboratory for Optoelectronics, National Engineering Laboratory for Next Generation Internet Access System, Department of Electronics and Information Engineering
[2] Wuhan University,Department of Automation
来源：
Cognitive Computation | 2013年 / 5卷
关键词：
Multiple-input multiple-output; Interference alignment; Total least squares; Minimum mean square error;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper introduces a novel two-step interference alignment beamforming algorithm for a multiple-antenna interference channel with uncoordinated interference. The proposed algorithm performs subspace division of the signal space by using the total least squares method to use all available degrees of freedom in the system. The algorithm also uses the minimum mean square error as a criterion to maximize the sum rate of the system. Simulation results indicate that the sum rate of the proposed algorithm outperforms the sum rates of previous works in the context of a network with uncoordinated interference. The performance levels of these algorithms are also compared for different uncoordinated interference strengths. Almost the same trend is obtained for the sum rate performance.
引用
收藏
页码：215 / 224
页数：9
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