Integer-Forcing Interference Alignment: Iterative Optimization via Aligned Lattice Reduction

被引：0
|
作者：
El Bakoury, Islam [1 ]
He, Wenbo [1 ]
Nazer, Bobak [1 ]
机构：
[1] Boston Univ, ECE Dept, Boston, MA 02215 USA
来源：
2015 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY (ISIT) | 2015年
基金：
美国国家科学基金会;
关键词：
Compute-and-forward; interference alignment; integer-forcing; convex optimization; lattice reduction;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
For the K-user MIMO interference channel, some form of interference alignment is needed to attain the highest possible rates. For the important special case of linear alignment strategies, many iterative optimization algorithms have been proposed that aim to maximize the signal-to-interference-and-noise ratio (SINR) at each receiver. Recent work has demonstrated the advantages of integer-forcing interference alignment (IFIA), which first decodes aligned integer-linear combinations of the codewords and then solves for the desired messages. This paper proposes a class of iterative optimization algorithms for IFIA and demonstrates its advantages via simulations.
引用
收藏
页码：581 / 585
页数：5
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