Compressive channel estimation and multi-user detection in C-RAN

Qi He, Tony Q.S. Quek, Zhi Chen, Shaoqian Li

研究成果: Conference contribution

10 引文 斯高帕斯(Scopus)

摘要

This paper considers the channel estimation (CE) and multi-user detection (MUD) problems in cloud radio access network (C-RAN). Assuming that active users are sparse in the network, we solve CE and MUD problems with compressed sensing (CS) technology to greatly reduce the long identification pilot overhead. A mixed ℓ2.1-regularization functional for extended sparse group-sparsity recovery is proposed to exploit the inherently sparse property existing both in user activities and remote radio heads (RRHs) that active users are attached to. Empirical and theoretical guidelines are provided to help choosing tuning parameters which have critical effect on the performance of the penalty functional. To speed up the processing procedure, based on alternating direction method of multipliers and variable splitting strategy, an efficient algorithm is formulated which is guaranteed to be convergent. Numerical results are provided to illustrate the effectiveness of the proposed functional and efficient algorithm.

原文English
主出版物標題2017 IEEE International Conference on Communications, ICC 2017
編輯Merouane Debbah, David Gesbert, Abdelhamid Mellouk
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781467389990
DOIs
出版狀態Published - 2017 七月 28
事件2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
持續時間: 2017 五月 212017 五月 25

出版系列

名字IEEE International Conference on Communications
ISSN(列印)1550-3607

Other

Other2017 IEEE International Conference on Communications, ICC 2017
國家France
城市Paris
期間17-05-2117-05-25

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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