Large-System Analysis of Massive MIMO with Optimal M-MMSE Processing

Luca Sanguinetti; Emil Bjornson; Abla Kammoun

doi:10.1109/SPAWC.2019.8815490

Large-System Analysis of Massive MIMO with Optimal M-MMSE Processing

Luca Sanguinetti, Emil Bjornson, Abla Kammoun

Computer, Electrical and Mathematical Sciences and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

We consider the uplink of a Massive MIMO network with L cells, each comprising a BS with M antennas and K single-antenna user equipments. Recently, [1] studied the asymptotic spectral efficiency of such networks with optimal multicell minimum mean-squared error (M-MMSE) processing when M and K is kept fixed. Remarkably, [1] proved that, for practical channels with spatial correlation, the spectral efficiency grows unboundedly, even with pilot contamination. In this paper, we extend the analysis from [1] to the alternative regime in which M, K with a given ratio. Tools from random matrix theory are used to compute low-complexity approximations which are proved to be asymptotically tight, but accurate for realistic system dimensions, as shown by simulations.

Original language	English (US)
Title of host publication	2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Publisher	IEEE
ISBN (Print)	9781538665282
DOIs	https://doi.org/10.1109/SPAWC.2019.8815490
State	Published - Aug 30 2019

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10.1109/SPAWC.2019.8815490

https://repository.kaust.edu.sa/bitstream/10754/658666/1/Conference%20Paperfile1.pdf

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@inproceedings{af04fe1b31e3487bbfd6029d1d0c8f06,

title = "Large-System Analysis of Massive MIMO with Optimal M-MMSE Processing",

abstract = "We consider the uplink of a Massive MIMO network with L cells, each comprising a BS with M antennas and K single-antenna user equipments. Recently, [1] studied the asymptotic spectral efficiency of such networks with optimal multicell minimum mean-squared error (M-MMSE) processing when M and K is kept fixed. Remarkably, [1] proved that, for practical channels with spatial correlation, the spectral efficiency grows unboundedly, even with pilot contamination. In this paper, we extend the analysis from [1] to the alternative regime in which M, K with a given ratio. Tools from random matrix theory are used to compute low-complexity approximations which are proved to be asymptotically tight, but accurate for realistic system dimensions, as shown by simulations.",

author = "Luca Sanguinetti and Emil Bjornson and Abla Kammoun",

note = "KAUST Repository Item: Exported on 2020-10-01",

year = "2019",

month = aug,

day = "30",

doi = "10.1109/SPAWC.2019.8815490",

language = "English (US)",

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booktitle = "2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)",

publisher = "IEEE",

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TY - GEN

T1 - Large-System Analysis of Massive MIMO with Optimal M-MMSE Processing

AU - Sanguinetti, Luca

AU - Bjornson, Emil

AU - Kammoun, Abla

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2019/8/30

Y1 - 2019/8/30

N2 - We consider the uplink of a Massive MIMO network with L cells, each comprising a BS with M antennas and K single-antenna user equipments. Recently, [1] studied the asymptotic spectral efficiency of such networks with optimal multicell minimum mean-squared error (M-MMSE) processing when M and K is kept fixed. Remarkably, [1] proved that, for practical channels with spatial correlation, the spectral efficiency grows unboundedly, even with pilot contamination. In this paper, we extend the analysis from [1] to the alternative regime in which M, K with a given ratio. Tools from random matrix theory are used to compute low-complexity approximations which are proved to be asymptotically tight, but accurate for realistic system dimensions, as shown by simulations.

AB - We consider the uplink of a Massive MIMO network with L cells, each comprising a BS with M antennas and K single-antenna user equipments. Recently, [1] studied the asymptotic spectral efficiency of such networks with optimal multicell minimum mean-squared error (M-MMSE) processing when M and K is kept fixed. Remarkably, [1] proved that, for practical channels with spatial correlation, the spectral efficiency grows unboundedly, even with pilot contamination. In this paper, we extend the analysis from [1] to the alternative regime in which M, K with a given ratio. Tools from random matrix theory are used to compute low-complexity approximations which are proved to be asymptotically tight, but accurate for realistic system dimensions, as shown by simulations.

UR - http://hdl.handle.net/10754/658666

UR - https://ieeexplore.ieee.org/document/8815490/

UR - http://www.scopus.com/inward/record.url?scp=85072327039&partnerID=8YFLogxK

U2 - 10.1109/SPAWC.2019.8815490

DO - 10.1109/SPAWC.2019.8815490

M3 - Conference contribution

SN - 9781538665282

BT - 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

PB - IEEE

ER -

Large-System Analysis of Massive MIMO with Optimal M-MMSE Processing

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