Angular-Domain Massive MIMO Detection
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/23035a38-a9a0-4906-a02c-7583e745f2a7
- author
- Mahdavi, Mojtaba LU ; Edfors, Ove LU ; Öwall, Viktor LU and Liu, Liang LU
- organization
- publishing date
- 2021-05-22
- 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}}, }