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Interference suppression for ultra dense network based on compressive sensing framework

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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 density.This paper proposes interference suppression scheme based on compressive sensing (CS) framework for UDN.Firstly,the measurement matrix is designed by exploiting the sparsity of millimeter wave channels.CS technique is employed to transform the high dimension sparse signal into low dimension signal.Then,the interference is canceled in the compressed domain.Finally,the stagewise weak orthogonal matching pursuit (SWOMP) algorithm is used to reconstruct the useful signal after interference suppression.The analysis and simulation results demonstrate the effectiveness of the algorithm.Simulation results demonstrate that the proposed interference suppression in compressive domain yields performance gains compared to other classical interference suppression schemes.The proposed algorithm can reduce the computational complexity of interference suppression algorithm.

interference suppressionCSsignal reconstructionUDN

Hou Huanhuan、Jiang Jing、Lei Ming、Liu Ben

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School of Communications and Information Engineering, Xi'an Universityof Posts and Telecommunications, Xi'an 710061, China

This work was supported by National Science and Technology Major ProjectInnovation Team Project of Shaanxi ProvinceNational Natural Science Foundation of China

2016ZX030010162017KCT-30-026187012068.

2020

10.19682/j.cnki.1005-8885.2020.1002

中国邮电高校学报(英文版)
北京邮电大学

中国邮电高校学报(英文版)

CSCDEI
影响因子：0.419
ISSN：1005-8885
年,卷(期)：2020.27(2)
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