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Angular-Domain Massive MIMO Detection: Algorithm, Implementation, and Design Tradeoffs

Mahdavi, Mojtaba LU ; Edfors, Ove LU ; Öwall, Viktor LU and Liu, Liang LU (2020) In IEEE Transactions on Circuits and Systems I: Regular Papers Early Access. p.1-14
Abstract
In massive multiple-input multiple-output (MIMO) systems, the large size of channel state information (CSI) matrix significantly increases the computational complexity of uplink detection and size of required memory to store the channel data. To address these challenges, we propose to perform detection in the angular domain, where the channel information can be presented in a more condensed way. The underlying idea is to exploit the sparsity of massive MIMO channel in the angular domain to reduce the size of CSI matrix by selecting dominant beams. Then, an angular-domain linear detector followed by a non-linear post-processing scheme is proposed to perform detection using the reduced-size CSI. Evaluated using measured massive MIMO... (More)
In massive multiple-input multiple-output (MIMO) systems, the large size of channel state information (CSI) matrix significantly increases the computational complexity of uplink detection and size of required memory to store the channel data. To address these challenges, we propose to perform detection in the angular domain, where the channel information can be presented in a more condensed way. The underlying idea is to exploit the sparsity of massive MIMO channel in the angular domain to reduce the size of CSI matrix by selecting dominant beams. Then, an angular-domain linear detector followed by a non-linear post-processing scheme is proposed to perform detection using the reduced-size CSI. Evaluated using measured massive MIMO channels, our method results in 35%-73% reduction in complexity and required memory compared to traditional detectors while it achieves better performance. Moreover, this paper provides a framework, which trades between performance, complexity, and size of required memory. As a proof of concept, we implement the angular-domain detector in a 28 nm FD-SOI CMOS for a massive MIMO with 128 antennas communicating with up to 16 users. Synthesis result shows that our design attains a throughput of 2240 Mbps with an area of 829 k gates. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Massive MIMO Detection, 5G New Radio, Angular-domain Processing, CMOS Technology, Channel Sparsity, VLSI Implementation, Digital Baseband Processing
in
IEEE Transactions on Circuits and Systems I: Regular Papers
volume
Early Access
pages
14 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85086018487
ISSN
1558-0806
DOI
10.1109/TCSI.2020.2968408
language
English
LU publication?
yes
id
29c23db1-09d9-4f97-ac27-2dff679841e8
date added to LUP
2020-02-05 11:43:02
date last changed
2020-08-30 06:25:14
@article{29c23db1-09d9-4f97-ac27-2dff679841e8,
  abstract     = {In massive multiple-input multiple-output (MIMO) systems, the large size of channel state information (CSI) matrix significantly increases the computational complexity of uplink detection and size of required memory to store the channel data. To address these challenges, we propose to perform detection in the angular domain, where the channel information can be presented in a more condensed way. The underlying idea is to exploit the sparsity of massive MIMO channel in the angular domain to reduce the size of CSI matrix by selecting dominant beams. Then, an angular-domain linear detector followed by a non-linear post-processing scheme is proposed to perform detection using the reduced-size CSI. Evaluated using measured massive MIMO channels, our method results in 35%-73% reduction in complexity and required memory compared to traditional detectors while it achieves better performance. Moreover, this paper provides a framework, which trades between performance, complexity, and size of required memory. As a proof of concept, we implement the angular-domain detector in a 28 nm FD-SOI CMOS for a massive MIMO with 128 antennas communicating with up to 16 users. Synthesis result shows that our design attains a throughput of 2240 Mbps with an area of 829 k gates.},
  author       = {Mahdavi, Mojtaba and Edfors, Ove and Öwall, Viktor and Liu, Liang},
  issn         = {1558-0806},
  language     = {eng},
  month        = {01},
  pages        = {1--14},
  publisher    = {IEEE - Institute of Electrical and Electronics Engineers Inc.},
  series       = {IEEE Transactions on Circuits and Systems I: Regular Papers},
  title        = {Angular-Domain Massive MIMO Detection: Algorithm, Implementation, and Design Tradeoffs},
  url          = {http://dx.doi.org/10.1109/TCSI.2020.2968408},
  doi          = {10.1109/TCSI.2020.2968408},
  volume       = {Early Access},
  year         = {2020},
}