Precoding for multicell massive MIMO systems with compressive rank-q channel approximation

Sinh Le Hong Nguyen, Ali Ghrayeb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

In non-cooperative multicell massive (or very large) multiple-input multiple-output (MIMO) systems, the pilot contamination effect in the uplink channel training and the intercell interference in the downlink severely degrade the overall network achievable rates. In this paper, we present a framework to mitigate those effects. Specifically, we propose in the uplink training a rank-q channel approximation method based on compressive sensing (CS) to estimate the most dominant singular subspaces of the global multicell MIMO channel matrix with a modest training length. Then, the estimate of the global channel information is used to design an intercell-interference-aware (IA) zero-forcing (ZF) multicell precoding method in the downlink to mitigate not only the intracell interference but also the intercell interference of the channel. The results obtained using the proposed scheme show a significant improvement in the achievable rates for all users in the cells, particularly the cell-edge users, as compared to the existing channel estimation and precoding methods.

Original languageEnglish
Title of host publication2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
Pages1227-1232
Number of pages6
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 - London, United Kingdom
Duration: 8 Sep 201311 Sep 2013

Other

Other2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
CountryUnited Kingdom
CityLondon
Period8/9/1311/9/13

Fingerprint

Channel estimation
Contamination

Keywords

  • Compressive sensing
  • Low-rank matrix approximation
  • Multicell massive MIMO
  • Pilot contamination
  • Zero-forcing precoding

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Nguyen, S. L. H., & Ghrayeb, A. (2013). Precoding for multicell massive MIMO systems with compressive rank-q channel approximation. In 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 (pp. 1227-1232). [6666326] https://doi.org/10.1109/PIMRC.2013.6666326

Precoding for multicell massive MIMO systems with compressive rank-q channel approximation. / Nguyen, Sinh Le Hong; Ghrayeb, Ali.

2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013. 2013. p. 1227-1232 6666326.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nguyen, SLH & Ghrayeb, A 2013, Precoding for multicell massive MIMO systems with compressive rank-q channel approximation. in 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013., 6666326, pp. 1227-1232, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013, London, United Kingdom, 8/9/13. https://doi.org/10.1109/PIMRC.2013.6666326
Nguyen SLH, Ghrayeb A. Precoding for multicell massive MIMO systems with compressive rank-q channel approximation. In 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013. 2013. p. 1227-1232. 6666326 https://doi.org/10.1109/PIMRC.2013.6666326
Nguyen, Sinh Le Hong ; Ghrayeb, Ali. / Precoding for multicell massive MIMO systems with compressive rank-q channel approximation. 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013. 2013. pp. 1227-1232
@inproceedings{9f5e1487f22243ca817b8c419c8fdeaf,
title = "Precoding for multicell massive MIMO systems with compressive rank-q channel approximation",
abstract = "In non-cooperative multicell massive (or very large) multiple-input multiple-output (MIMO) systems, the pilot contamination effect in the uplink channel training and the intercell interference in the downlink severely degrade the overall network achievable rates. In this paper, we present a framework to mitigate those effects. Specifically, we propose in the uplink training a rank-q channel approximation method based on compressive sensing (CS) to estimate the most dominant singular subspaces of the global multicell MIMO channel matrix with a modest training length. Then, the estimate of the global channel information is used to design an intercell-interference-aware (IA) zero-forcing (ZF) multicell precoding method in the downlink to mitigate not only the intracell interference but also the intercell interference of the channel. The results obtained using the proposed scheme show a significant improvement in the achievable rates for all users in the cells, particularly the cell-edge users, as compared to the existing channel estimation and precoding methods.",
keywords = "Compressive sensing, Low-rank matrix approximation, Multicell massive MIMO, Pilot contamination, Zero-forcing precoding",
author = "Nguyen, {Sinh Le Hong} and Ali Ghrayeb",
year = "2013",
doi = "10.1109/PIMRC.2013.6666326",
language = "English",
isbn = "9781467362351",
pages = "1227--1232",
booktitle = "2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013",

}

TY - GEN

T1 - Precoding for multicell massive MIMO systems with compressive rank-q channel approximation

AU - Nguyen, Sinh Le Hong

AU - Ghrayeb, Ali

PY - 2013

Y1 - 2013

N2 - In non-cooperative multicell massive (or very large) multiple-input multiple-output (MIMO) systems, the pilot contamination effect in the uplink channel training and the intercell interference in the downlink severely degrade the overall network achievable rates. In this paper, we present a framework to mitigate those effects. Specifically, we propose in the uplink training a rank-q channel approximation method based on compressive sensing (CS) to estimate the most dominant singular subspaces of the global multicell MIMO channel matrix with a modest training length. Then, the estimate of the global channel information is used to design an intercell-interference-aware (IA) zero-forcing (ZF) multicell precoding method in the downlink to mitigate not only the intracell interference but also the intercell interference of the channel. The results obtained using the proposed scheme show a significant improvement in the achievable rates for all users in the cells, particularly the cell-edge users, as compared to the existing channel estimation and precoding methods.

AB - In non-cooperative multicell massive (or very large) multiple-input multiple-output (MIMO) systems, the pilot contamination effect in the uplink channel training and the intercell interference in the downlink severely degrade the overall network achievable rates. In this paper, we present a framework to mitigate those effects. Specifically, we propose in the uplink training a rank-q channel approximation method based on compressive sensing (CS) to estimate the most dominant singular subspaces of the global multicell MIMO channel matrix with a modest training length. Then, the estimate of the global channel information is used to design an intercell-interference-aware (IA) zero-forcing (ZF) multicell precoding method in the downlink to mitigate not only the intracell interference but also the intercell interference of the channel. The results obtained using the proposed scheme show a significant improvement in the achievable rates for all users in the cells, particularly the cell-edge users, as compared to the existing channel estimation and precoding methods.

KW - Compressive sensing

KW - Low-rank matrix approximation

KW - Multicell massive MIMO

KW - Pilot contamination

KW - Zero-forcing precoding

UR - http://www.scopus.com/inward/record.url?scp=84893257140&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893257140&partnerID=8YFLogxK

U2 - 10.1109/PIMRC.2013.6666326

DO - 10.1109/PIMRC.2013.6666326

M3 - Conference contribution

SN - 9781467362351

SP - 1227

EP - 1232

BT - 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013

ER -