A Weighted MMSE Approach to Amorphous Cell for Mixed-ADC Distributed Massive MIMO

Jide Yuan, Qi He, Michail Matthaiou, Yuyang Wang, Tony Q.S. Quek, Shi Jin

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Distributed massive multi-input-multi-output (mMIMO) is a promising architecture which has potential to satisfy the strick latency requirement in Internet of Things (IoT). To further meet the low-cost and low-latency demand in IoT, this paper provides a low-complexity scheme to the access phase for mixed analog-to-digital convertors (ADC) distributed mMIMO. which consists of two steps. In the first step, the clustering behavior among users is detected using large scale fading information, which aims to reduce the complexity. In the second step, with the number of clusters as a priori, a weighted minimum mean square error (WMMSE) clustering algorithm that can provide stable and robust results is proposed. The clustering algorithm aims to maximize the achievable sum rate, in which the nonconvex objective function and constraints are modeled using ell1-norm approximation. Numerical results show that the proposed algorithm has strong convergence, and significant gain can be obtained in various scenarios.

原文English
主出版物標題Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
編輯Michael B. Matthews
發行者IEEE Computer Society
頁面969-974
頁數6
ISBN(電子)9781538692189
DOIs
出版狀態Published - 2019 二月 19
事件52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018 - Pacific Grove, United States
持續時間: 2018 十月 282018 十月 31

出版系列

名字Conference Record - Asilomar Conference on Signals, Systems and Computers
2018-October
ISSN(列印)1058-6393

Conference

Conference52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
國家United States
城市Pacific Grove
期間18-10-2818-10-31

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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