Decentralized Design of Fast Iterative Receivers for Massive MIMO with Spatial Non-Stationarities

Victor Croisfelt, Taufik Abrao, Abolfazl Amiri, Elisabeth De Carvalho, Petar Popovski

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

Despite the extensive use of a centralized approach to design receivers for massive multiple-input multiple-output (M-MIMO) base stations, their actual implementation is a major challenge due to several bottlenecks imposed by the large number of antennas. One way to deal with this problem is by fully decentralizing the classical zero-forcing (ZF) receiver across multiple processing nodes based on the gradient descent (GD) method. In this paper, we first explicitly relate this decentralized receiver to a distributed version of the Kaczmarz algorithm and to the use of the successive interference cancellation (SIC) philosophy. In addition, we propose three methods to further accelerate the initial convergence of this decentralized receiver by exploring the connection with the Kaczmarz algorithm: 1) a new Bayesian distributed receiver, which iteratively estimates and eliminates noise; 2) a more practical method for choosing a relaxation parameter on an iteration basis; and 3) extension of it to tree-based architectures. The discussion also considers spatial non-stationarities that arise when the antenna arrays are extremely large (XL-MIMO). With our methods, we are able to improve the performance of the decentralized GD receiver for both spatially stationary and non-stationary channels, but mainly the non-stationary performance can still be improved. Future research directions are provided with the aim of further improving the effectiveness of receivers based on the so-called principle of successive residual cancellation (SRC).

Original languageEnglish
Title of host publication55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
EditorsMichael B. Matthews
Number of pages8
PublisherIEEE Computer Society Press
Publication date2021
Pages1242-1249
ISBN (Electronic)9781665458283
DOIs
Publication statusPublished - 2021
Event55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021 - Virtual, Pacific Grove, United States
Duration: 31 Oct 20213 Nov 2021

Conference

Conference55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Country/TerritoryUnited States
CityVirtual, Pacific Grove
Period31/10/202103/11/2021
SeriesConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2021-October
ISSN1058-6393

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

  • Bayesian receiver
  • daisy-chain architecture
  • extra-large scale MIMO (XL-MIMO)
  • fully decentralized receivers
  • Kaczmarz algorithm
  • Massive MIMO (M-MIMO)
  • relaxation method
  • successive residual cancellation (SRC)

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