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A VLSI implementation of angular-domain massive MIMO detection

Mahdavi, Mojtaba LU ; Edfors, Ove LU ; Owall, Viktor LU and Liu, Liang LU (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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Please use this url to cite or link to this publication:
author
organization
publishing date
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
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
978-1-7281-0398-3
9781728103976
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
2019-07-09 04:49:12
@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},
  isbn         = {978-1-7281-0398-3},
  keyword      = {Massive MIMO Detection,VLSI implementation,angular domain,channel sparsity,Cholesky decomposition,systolic array,linear detection},
  language     = {eng},
  location     = {Sapporo, Japan},
  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},
  year         = {2019},
}