A VLSI Implementation of Angular-Domain Massive MIMO Detection
(2019) 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 p.1-5- Abstract
This paper presents an angular-domain massive MIMO detector which exploits sparsity in massive MIMO channel along with a reconfigurable systolic array architecture to achieve high area efficiency. The underlying idea is to perform signal detection in the angular domain, where the channel matrix can have much lower dimension due the limited number of dominant angles (of arrival and departure) of the wireless signal. Evaluated using the measured massive MIMO channel, the proposed method results in 40%-70% reduction in processing complexity and memory requirements compared to traditional antenna-domain detection. This complexity reduction enables extensive hardware reuse where all the operations of detection processing are mapped to a... (More)
This paper presents an angular-domain massive MIMO detector which exploits sparsity in massive MIMO channel along with a reconfigurable systolic array architecture to achieve high area efficiency. The underlying idea is to perform signal detection in the angular domain, where the channel matrix can have much lower dimension due the limited number of dominant angles (of arrival and departure) of the wireless signal. Evaluated using the measured massive MIMO channel, the proposed method results in 40%-70% reduction in processing complexity and memory requirements compared to traditional antenna-domain detection. This complexity reduction enables extensive hardware reuse where all the operations of detection processing are mapped to a condensed reconfigurable systolic array. The angular-domain zero-forcing detector, which supports 128 base station antennas and 16 users is implemented in a 28 nm FD-SOI technology. Synthesis result shows that our design attains a throughput of 510 MSps with an area of 537 kG.
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- author
- Mahdavi, Mojtaba LU ; Edfors, Ove LU ; Owall, Viktor LU and Liu, Liang LU
- organization
- publishing date
- 2019-05-26
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Massive MIMO Detection, VLSI implementation, angular domain, channel sparsity, Cholesky decomposition, systolic array, linear detection
- host publication
- IEEE International Symposium on Circuits and Systems (ISCAS) 2019 - Proceedings
- article number
- 8702720
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
- conference location
- Sapporo, Japan
- conference dates
- 2019-05-26 - 2019-05-29
- external identifiers
-
- scopus:85066786174
- ISBN
- 9781728103976
- 978-1-7281-0398-3
- DOI
- 10.1109/ISCAS.2019.8702720
- language
- English
- LU publication?
- yes
- id
- 99df64e6-a166-4fec-8fed-36d0a8ff70ae
- date added to LUP
- 2019-06-24 12:21:30
- date last changed
- 2024-09-19 01:32:33
@inproceedings{99df64e6-a166-4fec-8fed-36d0a8ff70ae, abstract = {{<p>This paper presents an angular-domain massive MIMO detector which exploits sparsity in massive MIMO channel along with a reconfigurable systolic array architecture to achieve high area efficiency. The underlying idea is to perform signal detection in the angular domain, where the channel matrix can have much lower dimension due the limited number of dominant angles (of arrival and departure) of the wireless signal. Evaluated using the measured massive MIMO channel, the proposed method results in 40%-70% reduction in processing complexity and memory requirements compared to traditional antenna-domain detection. This complexity reduction enables extensive hardware reuse where all the operations of detection processing are mapped to a condensed reconfigurable systolic array. The angular-domain zero-forcing detector, which supports 128 base station antennas and 16 users is implemented in a 28 nm FD-SOI technology. Synthesis result shows that our design attains a throughput of 510 MSps with an area of 537 kG.</p>}}, author = {{Mahdavi, Mojtaba and Edfors, Ove and Owall, Viktor and Liu, Liang}}, booktitle = {{IEEE International Symposium on Circuits and Systems (ISCAS) 2019 - Proceedings}}, isbn = {{9781728103976}}, keywords = {{Massive MIMO Detection; VLSI implementation; angular domain; channel sparsity; Cholesky decomposition; systolic array; linear detection}}, language = {{eng}}, month = {{05}}, pages = {{1--5}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{A VLSI Implementation of Angular-Domain Massive MIMO Detection}}, url = {{http://dx.doi.org/10.1109/ISCAS.2019.8702720}}, doi = {{10.1109/ISCAS.2019.8702720}}, year = {{2019}}, }