Title :

Evaluation of an antenna selection strategy for reduced massive MIMO complexity

Author(s) :

Challita, Frédéric [Auteur]
Télécommunication, Interférences et Compatibilité Electromagnétique - IEMN [TELICE - IEMN]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Lienard, Martine [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]

Journal title :

Radio Science

Pages :

e2020RS007242

Publication date :

2021-05

HAL domain(s) :

Sciences de l'ingénieur [physics]

English abstract : [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 ...
Show more >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 approachShow less >

Language :

Anglais

Popular science :

Non

European Project :

ELSAT2020

Comment :

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