A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing

Mojtaba Mahdavi; Ove Edfors; Viktor Öwall; Liang Liu

doi:10.1109/GlobalSIP.2018.8646483

A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing

Mojtaba Mahdavi, Ove Edfors, Viktor Öwall, Liang Liu

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

Signal processing complexity and required memory become problematic in massive MIMO systems as the dimension of channel state information (CSI) matrix grows significantly with the large number of antennas and users. To address these challenges, we propose the first angular-domain massive MIMO detection scheme, which is based on three concepts: transferring the baseband processing from the spatial domain to the angular domain; exploiting the sparsity of received beams to reduce the dimension of CSI matrix; and performing the whole detection and precoding in the angular domain using the reduced CSI matrix. We have measured the massive MIMO channel at 2.6 GHz with a 128-antenna linear array communicating with 16 users to evaluate our scheme. Complexity analysis and simulations show that proposed idea leads to 40% – 70% reduction in the processing complexity and memory without significant performance loss, which significantly outperforms the antenna-domain schemes.

Originalspråk	engelska
Titel på värdpublikation	IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	181-185
Antal sidor	5
ISBN (elektroniskt)	978-1-7281-1295-4
ISBN (tryckt)	978-1-7281-1296-1
DOI	https://doi.org/10.1109/GlobalSIP.2018.8646483
Status	Published - 2018 nov. 26
Evenemang	2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP) - Anaheim, Anaheim, USA Varaktighet: 2018 nov. 26 → 2018 nov. 29

Konferens

Konferens	2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)
Land/Territorium	USA
Ort	Anaheim
Period	2018/11/26 → 2018/11/29

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10.1109/GlobalSIP.2018.8646483

1 Doktorsavhandling (sammanläggning)

Baseband Processing for 5G and Beyond: Algorithms, VLSI Architectures, and Co-design
Mahdavi, M., 2021 mars 20, Dpt. of Electrical and Information Technology, Lund University, Sweden. 253 s.
Forskningsoutput: Avhandling › Doktorsavhandling (sammanläggning)

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@inproceedings{b9c1c220bb874fdf9de014bb089e958a,

title = "A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing",

abstract = "Signal processing complexity and required memory become problematic in massive MIMO systems as the dimension of channel state information (CSI) matrix grows significantly with the large number of antennas and users. To address these challenges, we propose the first angular-domain massive MIMO detection scheme, which is based on three concepts: transferring the baseband processing from the spatial domain to the angular domain; exploiting the sparsity of received beams to reduce the dimension of CSI matrix; and performing the whole detection and precoding in the angular domain using the reduced CSI matrix. We have measured the massive MIMO channel at 2.6 GHz with a 128-antenna linear array communicating with 16 users to evaluate our scheme. Complexity analysis and simulations show that proposed idea leads to 40% – 70% reduction in the processing complexity and memory without significant performance loss, which significantly outperforms the antenna-domain schemes.",

keywords = "massive MIMO, angular domain, channel compression, CSI matrix, MIMO detection, low complexity, channel sparsity",

author = "Mojtaba Mahdavi and Ove Edfors and Viktor {\"O}wall and Liang Liu",

year = "2018",

month = nov,

day = "26",

doi = "10.1109/GlobalSIP.2018.8646483",

language = "English",

isbn = "978-1-7281-1296-1",

pages = "181--185",

booktitle = "IEEE Global Conference on Signal and Information Processing (GlobalSIP)",

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

address = "United States",

note = "2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP) ; Conference date: 26-11-2018 Through 29-11-2018",

}

Mahdavi, M, Edfors, O , Öwall, V & Liu, L 2018, A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing. i IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 181-185, 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Anaheim, Kalifornien, USA, 2018/11/26. https://doi.org/10.1109/GlobalSIP.2018.8646483

A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing. / Mahdavi, Mojtaba; Edfors, Ove ; Öwall, Viktor et al.

IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE - Institute of Electrical and Electronics Engineers Inc., 2018. s. 181-185.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing

AU - Mahdavi, Mojtaba

AU - Edfors, Ove

AU - Öwall, Viktor

AU - Liu, Liang

PY - 2018/11/26

Y1 - 2018/11/26

N2 - Signal processing complexity and required memory become problematic in massive MIMO systems as the dimension of channel state information (CSI) matrix grows significantly with the large number of antennas and users. To address these challenges, we propose the first angular-domain massive MIMO detection scheme, which is based on three concepts: transferring the baseband processing from the spatial domain to the angular domain; exploiting the sparsity of received beams to reduce the dimension of CSI matrix; and performing the whole detection and precoding in the angular domain using the reduced CSI matrix. We have measured the massive MIMO channel at 2.6 GHz with a 128-antenna linear array communicating with 16 users to evaluate our scheme. Complexity analysis and simulations show that proposed idea leads to 40% – 70% reduction in the processing complexity and memory without significant performance loss, which significantly outperforms the antenna-domain schemes.

AB - Signal processing complexity and required memory become problematic in massive MIMO systems as the dimension of channel state information (CSI) matrix grows significantly with the large number of antennas and users. To address these challenges, we propose the first angular-domain massive MIMO detection scheme, which is based on three concepts: transferring the baseband processing from the spatial domain to the angular domain; exploiting the sparsity of received beams to reduce the dimension of CSI matrix; and performing the whole detection and precoding in the angular domain using the reduced CSI matrix. We have measured the massive MIMO channel at 2.6 GHz with a 128-antenna linear array communicating with 16 users to evaluate our scheme. Complexity analysis and simulations show that proposed idea leads to 40% – 70% reduction in the processing complexity and memory without significant performance loss, which significantly outperforms the antenna-domain schemes.

KW - massive MIMO

KW - angular domain

KW - channel compression

KW - CSI matrix

KW - MIMO detection

KW - low complexity

KW - channel sparsity

U2 - 10.1109/GlobalSIP.2018.8646483

DO - 10.1109/GlobalSIP.2018.8646483

M3 - Paper in conference proceeding

SN - 978-1-7281-1296-1

SP - 181

EP - 185

BT - IEEE Global Conference on Signal and Information Processing (GlobalSIP)

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

T2 - 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

Y2 - 26 November 2018 through 29 November 2018

ER -

A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing

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

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