A VLSI Implementation of Angular-Domain Massive MIMO Detection

Mojtaba Mahdavi; Ove Edfors; Viktor Owall; Liang Liu

doi:10.1109/ISCAS.2019.8702720

A VLSI Implementation of Angular-Domain Massive MIMO Detection

Mojtaba Mahdavi, Ove Edfors, Viktor Owall, Liang Liu

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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 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.

Original language	English
Title of host publication	IEEE International Symposium on Circuits and Systems (ISCAS) 2019 - Proceedings
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781728103976
ISBN (Print)	978-1-7281-0398-3
DOIs	https://doi.org/10.1109/ISCAS.2019.8702720
Publication status	Published - 2019 May 26
Event	2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan Duration: 2019 May 26 → 2019 May 29

Conference

Conference	2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
Country/Territory	Japan
City	Sapporo
Period	2019/05/26 → 2019/05/29

Subject classification (UKÄ)

Communication Systems
Other Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

Massive MIMO Detection
VLSI implementation
angular domain
channel sparsity
Cholesky decomposition
systolic array
linear detection

Access to Document

10.1109/ISCAS.2019.8702720

1 Doctoral Thesis (compilation)

Baseband Processing for 5G and Beyond: Algorithms, VLSI Architectures, and Co-design
Mahdavi, M., 2021 Mar 20, Dpt. of Electrical and Information Technology, Lund University, Sweden. 253 p.
Research output: Thesis › Doctoral Thesis (compilation)

Open Access
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Cite this

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title = "A VLSI Implementation of Angular-Domain Massive MIMO Detection",

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 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.",

keywords = "Massive MIMO Detection, VLSI implementation, angular domain, channel sparsity, Cholesky decomposition, systolic array, linear detection",

author = "Mojtaba Mahdavi and Ove Edfors and Viktor Owall and Liang Liu",

year = "2019",

month = may,

day = "26",

doi = "10.1109/ISCAS.2019.8702720",

language = "English",

isbn = "978-1-7281-0398-3",

pages = "1--5",

booktitle = "IEEE International Symposium on Circuits and Systems (ISCAS) 2019 - Proceedings",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 ; Conference date: 26-05-2019 Through 29-05-2019",

}

Mahdavi, M, Edfors, O , Owall, V & Liu, L 2019, A VLSI Implementation of Angular-Domain Massive MIMO Detection. in IEEE International Symposium on Circuits and Systems (ISCAS) 2019 - Proceedings., 8702720, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019, Sapporo, Japan, 2019/05/26. https://doi.org/10.1109/ISCAS.2019.8702720

A VLSI Implementation of Angular-Domain Massive MIMO Detection. / Mahdavi, Mojtaba; Edfors, Ove ; Owall, Viktor et al.
IEEE International Symposium on Circuits and Systems (ISCAS) 2019 - Proceedings. IEEE - Institute of Electrical and Electronics Engineers Inc., 2019. p. 1-5 8702720.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - A VLSI Implementation of Angular-Domain Massive MIMO Detection

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AU - Liu, Liang

PY - 2019/5/26

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N2 - 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.

AB - 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.

KW - Massive MIMO Detection

KW - VLSI implementation

KW - angular domain

KW - channel sparsity

KW - Cholesky decomposition

KW - systolic array

KW - linear detection

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DO - 10.1109/ISCAS.2019.8702720

M3 - Paper in conference proceeding

AN - SCOPUS:85066786174

SN - 978-1-7281-0398-3

SP - 1

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BT - IEEE International Symposium on Circuits and Systems (ISCAS) 2019 - Proceedings

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019

Y2 - 26 May 2019 through 29 May 2019

ER -

A VLSI Implementation of Angular-Domain Massive MIMO Detection

Abstract

Conference

Subject classification (UKÄ)

Free keywords

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Research output

Baseband Processing for 5G and Beyond: Algorithms, VLSI Architectures, and Co-design

Cite this