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Decentralized Massive MIMO Processing Exploring Daisy-Chain Architecture and Recursive Algorithms

Rodriguez Sanchez, Jesus LU ; Rusek, Fredrik LU ; Edfors, Ove LU orcid ; Sarajlic, Muris LU and Liu, Liang LU orcid (2020) In IEEE Transactions on Signal Processing 68. p.687-700
Abstract

Algorithms for Massive MIMO uplink detection and downlink precoding typically rely on a centralized approach, by which baseband data from all antenna modules are routed to a central node in order to be processed. In the case of Massive MIMO, where hundreds or thousands of antennas are expected in the base-station, said routing becomes a bottleneck since interconnection throughput is limited. This paper presents a fully decentralized architecture and an algorithm for Massive MIMO uplink detection and downlink precoding based on the Coordinate Descent (CD) method, which does not require a central node for these tasks. Through a recursive approach and very low complexity operations, the proposed algorithm provides a good trade-off between... (More)

Algorithms for Massive MIMO uplink detection and downlink precoding typically rely on a centralized approach, by which baseband data from all antenna modules are routed to a central node in order to be processed. In the case of Massive MIMO, where hundreds or thousands of antennas are expected in the base-station, said routing becomes a bottleneck since interconnection throughput is limited. This paper presents a fully decentralized architecture and an algorithm for Massive MIMO uplink detection and downlink precoding based on the Coordinate Descent (CD) method, which does not require a central node for these tasks. Through a recursive approach and very low complexity operations, the proposed algorithm provides a good trade-off between performance, interconnection throughput and latency. Further, our proposed solution achieves significantly lower interconnection data-rate than other architectures, enabling future scalability.

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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
coordinate descent, decentralized architecture, detection, inter-connection data-rate, kaczmarz, Massive MIMO, precoding, SINR, zero-forcing
in
IEEE Transactions on Signal Processing
volume
68
article number
8960442
pages
14 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85079760916
ISSN
1053-587X
DOI
10.1109/TSP.2020.2964496
language
English
LU publication?
yes
id
b181e07c-480c-4a20-b0c2-8d3bd26411d3
date added to LUP
2020-03-18 14:10:02
date last changed
2024-04-03 03:06:26
@article{b181e07c-480c-4a20-b0c2-8d3bd26411d3,
  abstract     = {{<p>Algorithms for Massive MIMO uplink detection and downlink precoding typically rely on a centralized approach, by which baseband data from all antenna modules are routed to a central node in order to be processed. In the case of Massive MIMO, where hundreds or thousands of antennas are expected in the base-station, said routing becomes a bottleneck since interconnection throughput is limited. This paper presents a fully decentralized architecture and an algorithm for Massive MIMO uplink detection and downlink precoding based on the Coordinate Descent (CD) method, which does not require a central node for these tasks. Through a recursive approach and very low complexity operations, the proposed algorithm provides a good trade-off between performance, interconnection throughput and latency. Further, our proposed solution achieves significantly lower interconnection data-rate than other architectures, enabling future scalability.</p>}},
  author       = {{Rodriguez Sanchez, Jesus and Rusek, Fredrik and Edfors, Ove and Sarajlic, Muris and Liu, Liang}},
  issn         = {{1053-587X}},
  keywords     = {{coordinate descent; decentralized architecture; detection; inter-connection data-rate; kaczmarz; Massive MIMO; precoding; SINR; zero-forcing}},
  language     = {{eng}},
  pages        = {{687--700}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Transactions on Signal Processing}},
  title        = {{Decentralized Massive MIMO Processing Exploring Daisy-Chain Architecture and Recursive Algorithms}},
  url          = {{http://dx.doi.org/10.1109/TSP.2020.2964496}},
  doi          = {{10.1109/TSP.2020.2964496}},
  volume       = {{68}},
  year         = {{2020}},
}