Interference suppression for ultra dense network based on compressive sensing framework

作     者：Hou Huanhuan Jiang Jing Lei Ming Liu Ben Hou Huanhuan;Jiang Jing;Lei Ming;Liu Ben

作者机构：School of Communications and Information EngineeringXi'an Universityof Posts and TelecommunicationsXi'an 710061China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2020年第27卷第2期

页      面：10-18页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 

基　　金：supported by National Science and Technology Major Project(2016ZX03001016) Innovation Team Project of Shaanxi Province(2017KCT-30-02) National Natural Science Foundation of China(6187012068) 

主　　题：interference suppression CS signal reconstruction UDN 

摘      要：Ultra-dense network(UDN)deployment of small cells introduces novel technical challenges,one of which is that the interference levels increase considerably with the network *** paper proposes interference suppression scheme based on compressive sensing(CS)framework for ***,the measurement matrix is designed by exploiting the sparsity of millimeter wave *** technique is employed to transform the high dimension sparse signal into low dimension ***,the interference is canceled in the compressed ***,the stagewise weak orthogonal matching pursuit(SWOMP)algorithm is used to reconstruct the useful signal after interference *** analysis and simulation results demonstrate the effectiveness of the *** results demonstrate that the proposed interference suppression in compressive domain yields performance gains compared to other classical interference suppression *** proposed algorithm can reduce the computational complexity of interference suppression algorithm.