SNAP - POP for Massive MIMO Systems
(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:
https://lup.lub.lu.se/record/05455223-9c08-4629-aa2d-6b0e1a5009e0
- author
- Smith, Peter J ; Dmochowski, Pawel A ; Hopper, Mark and Tataria, Harsh LU
- organization
- publishing date
- 2020
- 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}}, }