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SNAP - POP for Massive MIMO Systems

Smith, Peter J ; Dmochowski, Pawel A ; Hopper, Mark and Tataria, Harsh LU (2020) IEEE International Conference on Communications (ICC) 2020
Abstract
Massive multiple-input multiple-output (MIMO) has gained a tremendous amount of attention as a key enabler of fifth-generation cellular systems. The majority of the vast literature on massive MIMO is based on fully digital processing, where each antenna element in the massive array is equipped with an up/down-conversion chain. Unlike previous works, we present a suite of greedy algorithms using pure analog processing which approach the performance of uplink digital zero-forcing (ZF) combining. Based on successive nulling and amplification processing (SNAP), the proposed techniques are evaluated in a multi-user context over a range of heterogeneous channel models. Rigorous comparisons are then made to other benchmark analog techniques,... (More)
Massive multiple-input multiple-output (MIMO) has gained a tremendous amount of attention as a key enabler of fifth-generation cellular systems. The majority of the vast literature on massive MIMO is based on fully digital processing, where each antenna element in the massive array is equipped with an up/down-conversion chain. Unlike previous works, we present a suite of greedy algorithms using pure analog processing which approach the performance of uplink digital zero-forcing (ZF) combining. Based on successive nulling and amplification processing (SNAP), the proposed techniques are evaluated in a multi-user context over a range of heterogeneous channel models. Rigorous comparisons are then made to other benchmark analog techniques, digital ZF and an upper bound on analog processing. The most promising approach is shown to have very low-complexity and robustness against a variety of channel conditions, while providing useful performance gains. (Less)
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Analog beamforming, Massive MIMO, Phase-only processing, Spectral efficiency, SINR, Low-complexity algorithms
host publication
ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
pages
6 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Communications (ICC) 2020
conference location
Dublin, Ireland
conference dates
2020-02-07 - 2020-02-11
external identifiers
  • scopus:85089427161
ISBN
978-1-7281-5089-5
DOI
10.1109/ICC40277.2020.9148905
language
English
LU publication?
yes
additional info
Accepted for publication in the proceedings of IEEE ICC 2020, Dublin
id
05455223-9c08-4629-aa2d-6b0e1a5009e0
date added to LUP
2020-03-03 11:38:31
date last changed
2022-04-18 21:08:28
@inproceedings{05455223-9c08-4629-aa2d-6b0e1a5009e0,
  abstract     = {{Massive multiple-input multiple-output (MIMO) has gained a tremendous amount of attention as a key enabler of fifth-generation cellular systems. The majority of the vast literature on massive MIMO is based on fully digital processing, where each antenna element in the massive array is equipped with an up/down-conversion chain. Unlike previous works, we present a suite of greedy algorithms using pure analog processing which approach the performance of uplink digital zero-forcing (ZF) combining. Based on successive nulling and amplification processing (SNAP), the proposed techniques are evaluated in a multi-user context over a range of heterogeneous channel models. Rigorous comparisons are then made to other benchmark analog techniques, digital ZF and an upper bound on analog processing. The most promising approach is shown to have very low-complexity and robustness against a variety of channel conditions, while providing useful performance gains.}},
  author       = {{Smith, Peter J and Dmochowski, Pawel A and Hopper, Mark and Tataria, Harsh}},
  booktitle    = {{ICC 2020 - 2020 IEEE International Conference on Communications (ICC)}},
  isbn         = {{978-1-7281-5089-5}},
  keywords     = {{Analog beamforming; Massive MIMO; Phase-only processing; Spectral efficiency; SINR; Low-complexity algorithms}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{SNAP - POP for Massive MIMO Systems}},
  url          = {{http://dx.doi.org/10.1109/ICC40277.2020.9148905}},
  doi          = {{10.1109/ICC40277.2020.9148905}},
  year         = {{2020}},
}