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Angular-Domain Massive MIMO Detection

Mahdavi, Mojtaba LU orcid ; Edfors, Ove LU orcid ; Öwall, Viktor LU and Liu, Liang LU orcid (2021) IEEE International Symposium on Circuits and Systems (ISCAS), 2021 p.1-5
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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author
; ; and
organization
publishing date
type
Contribution to conference
publication status
published
subject
keywords
Massive MIMO Detection, Channel Sparsity, CMOS Technology, 5G New Radio, Digital Baseband Processing, Angular-domain Processing, VLSI Implementation, hardware architecture
pages
5 pages
conference name
IEEE International Symposium on Circuits and Systems (ISCAS), 2021
conference location
Daegu, Korea, Democratic People's Republic of
conference dates
2021-05-22 - 2021-05-28
language
English
LU publication?
yes
id
23035a38-a9a0-4906-a02c-7583e745f2a7
date added to LUP
2021-08-02 21:18:49
date last changed
2021-08-10 08:37:16
@misc{23035a38-a9a0-4906-a02c-7583e745f2a7,
  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}},
  keywords     = {{Massive MIMO Detection; Channel Sparsity; CMOS Technology; 5G New Radio; Digital Baseband Processing; Angular-domain Processing; VLSI Implementation; hardware architecture}},
  language     = {{eng}},
  month        = {{05}},
  pages        = {{1--5}},
  title        = {{Angular-Domain Massive MIMO Detection}},
  year         = {{2021}},
}