典型文献
Clustering for Topological Interference Management
文献摘要：
To reduce the overhead and complexity of channel state information acquisition in interference alignment,the topological interference management(TIM)was proposed to manage interference,which only relied on the network topology information.The previous research on topological interference management via the low-rank matrix completion approach is known to be NP-hard.This paper considers the clustering method for the topological interference management problem,namely,the low-rank matrix completion for TIM is applied with-in each cluster.Based on the clustering result,we solve the low-rank matrix completion problem via nuclear norm minimization and Frobenius norm minimization function.Simulation results demonstrate that the proposed cluster-ing method combined with TIM leads to significant gain on the achievable degrees of freedom.
文献关键词：
中图分类号：
作者姓名：
JIANG Xue;ZHENG Baoyu;WANG Lei;HOU Xiaoyun
作者机构：
Nanjing University of Posts and Telecommunications,Nanjing 210003,China
文献出处：
引用格式：
[1]JIANG Xue;ZHENG Baoyu;WANG Lei;HOU Xiaoyun-.Clustering for Topological Interference Management)[J].电子学报（英文）,2022(05):844-850
A类：
B类：
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AB值：
0.557346
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