Interference suppression for ultra dense network based on compressive sensing framework

doi:10.19682/j.cnki.1005-8885.2020.1002

中国邮电高校学报(英文版) ›› 2020, Vol. 27 ›› Issue (2): 10-18.doi: 10.19682/j.cnki.1005-8885.2020.1002

Interference suppression for ultra dense network based on compressive sensing framework

Hou Huanhuan, Jiang Jing, Lei Ming, Liu Ben

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

收稿日期:2018-08-06 修回日期:2020-05-13 出版日期:2020-04-30 发布日期:2020-07-07
通讯作者: Hou Huanhuan, E-mail: houhh321@163.com E-mail:houhh321@163.com
作者简介:Hou Huanhuan, E-mail: houhh321@163.com
基金资助:
This work was 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).

Interference suppression for ultra dense network based on compressive sensing framework

Hou Huanhuan, Jiang Jing, Lei Ming, Liu Ben

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

Received:2018-08-06 Revised:2020-05-13 Online:2020-04-30 Published:2020-07-07
Contact: Hou Huanhuan, E-mail: houhh321@163.com E-mail:houhh321@163.com
About author:Hou Huanhuan, E-mail: houhh321@163.com
Supported by:
This work was 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).

摘要/Abstract

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 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.

关键词: interference suppression, CS, signal reconstruction, UDN

Abstract: 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.

Key words: interference suppression, CS, signal reconstruction, UDN

Hou Huanhuan, Jiang Jing, Lei Ming, Liu Ben. Interference suppression for ultra dense network based on compressive sensing framework[J]. The Journal of China Universities of Posts and Telecommunications, 2020, 27(2): 10-18.

参考文献

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Interference suppression for ultra dense network based on compressive sensing framework

Interference suppression for ultra dense network based on compressive sensing framework

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