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

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Standard

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

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 proceedingKonferenspaper i proceeding

Harvard

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, Anaheim, USA, 2018/11/26. https://doi.org/10.1109/GlobalSIP.2018.8646483

APA

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) (s. 181-185). IEEE - Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2018.8646483

CBE

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. https://doi.org/10.1109/GlobalSIP.2018.8646483

MLA

Mahdavi, Mojtaba et al. "A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing". IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE - Institute of Electrical and Electronics Engineers Inc. 2018, 181-185. https://doi.org/10.1109/GlobalSIP.2018.8646483

Vancouver

Mahdavi M, Edfors O, Öwall V, Liu L. 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. 2018. s. 181-185 https://doi.org/10.1109/GlobalSIP.2018.8646483

Author

Mahdavi, Mojtaba ; Edfors, Ove ; Öwall, Viktor ; Liu, Liang. / A Low Complexity Massive MIMO Detection Scheme Using Angular-Domain Processing. IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE - Institute of Electrical and Electronics Engineers Inc., 2018. s. 181-185

RIS

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

Y1 - 2018

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.

ER -