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Clustering for Topological Interference Management

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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.

Interference alignmentTopological interference managementClusteringLow-rank matrix completion

JIANG Xue、ZHENG Baoyu、WANG Lei、HOU Xiaoyun

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Nanjing University of Posts and Telecommunications,Nanjing 210003,China

国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金Major Projects of the Natural Science Foundation of the Jiangsu Higher Education InstitutionsOpen Research Fund of Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts 教育部项目Open Research Fund of National and Local Joint Engineering Laboratory of RF Integration and Micro-Assembly Technology,Nanjin

620012486207125561971241617712576200124620KJA510009JZNY201914KFJJ20170305

2022

10.1049/cje.2021.00.277

电子学报(英文)

电子学报(英文)

CSTPCDSCIEI
ISSN：1022-4653
年,卷(期)：2022.31(5)
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