Evaluation of an antenna selection strategy for reduced massive MIMO complexity

Challita, Frédéric; Lienard, M.; Gaillot, Davy; Molina-Garcia-Pardo, Jose-Maria

Type de document :

Autre communication scientifique (congrès sans actes - poster - séminaire...): Article dans une revue scientifique

DOI :

10.1029/2020RS007242

Titre :

Evaluation of an antenna selection strategy for reduced massive MIMO complexity

Auteur(s) :

Challita, Frédéric [Auteur]
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Lienard, M. [Auteur]
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Gaillot, Davy [Auteur]
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Molina-Garcia-Pardo, Jose-Maria [Auteur]

Titre de la manifestation scientifique :

12th European Conference on Antennas and Propagation, EuCAP 2018

Ville :

London

Pays :

Royaume-Uni

Date de début de la manifestation scientifique :

2018-04-09

Date de publication :

2021-05

Discipline(s) HAL :

Sciences de l'ingénieur [physics]

Résumé en anglais : [en]

Massive Multiple-Input Multiple-Output (MIMO) is emerging as one promising technology for the fifth generation (5G), but the hardware and software complexity arising from the sheer number of transmitting elements is a ...
Lire la suite >Massive Multiple-Input Multiple-Output (MIMO) is emerging as one promising technology for the fifth generation (5G), but the hardware and software complexity arising from the sheer number of transmitting elements is a bottleneck. Antenna selection strategies have been reported as an appealing solution for hybrid beamforming architectures to select a number of radio-frequency (RF) chains less than the total number of antennas but are yet to be fully defined and evaluated. In this work, a generic strategy relying on the receiver (Rx) spatial correlation is investigated to select the best antenna subset from a full array. It is evaluated from ray-traced massive MIMO radio channels using propagation metrics, and also sum-rate capacity computation. The results demonstrate that (1) for a fixed number of users, a subset with wisely selected distributed elements outperforms a collocated one for all studied metrics with performance close to the full array and (2) using a proposed optimization algorithm for a dynamic number of users, the number of active Tx antennas can be further optimized for the different studied subsets. Moreover, for a fixed number of users, the best antenna subset presenting the lowest Rx correlation values is found to reach the optimal sum-rate capacity using simple linear precoders compared with dirty paper coding. This is achieved with only a third of the initial RF chain hardware complexity, thus validating the proposed approach. Also, experimental measurements, presented for an industrial scenario, validate the proposed approachLire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Projet Européen :

ELSAT2020

Commentaire :

This article also appears in: Radio Channel Modeling for 5g Millimetre Wave Communications in Built Environments

Collections :

Institut d'Électronique, de Microélectronique et de Nanotechnologie (IEMN) - UMR 8520

Source :

Harvested from HAL

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