Antenna selection for massive MIMO Kronecker channel models using non-central principal component analysis

M. T. A. Rana, Rein Vesilo, Ahsan Saadat

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

2 Citations (Scopus)

Abstract

Massive multi-user multiple-input-multiple-output (MU-MIMO) is an emerging fifth-generation (5G) wireless communication technology. However, the deployment of large numbers of antennas and radio frequency (RF) chains needed at the base stations (BS) in massive MIMO brings challenges of high system complexity and hardware energy consumption. By using Kronecker channel modeling, a simple stochastic MIMO model for a narrowband channel is developed that uses the correlation matrices at the mobile station (MS) and BS. In this paper, two semi-heuristic techniques are proposed for practical antenna selection considering Kronecker channel modeling in a MU-MIMO broadcast system using principal component analysis (PCA). Therefore, the number of RF chains needed in massive MU-MIMO is reduced by removing the antennas that contribute least to the system sum capacity. A precoding technique of Zero Forcing is used and each user is equipped with a single antenna. Our simulation results show that the proposed antenna selection technique performs much better than mean channel gain selection.

Original languageEnglish
Title of host publication27th International Telecommunication Networks and Applications Conference
Subtitle of host publicationITNAC 2017
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-7
Number of pages7
ISBN (Electronic)9781509067961, 9781509067954
ISBN (Print)9781509067978
DOIs
Publication statusPublished - 2017
Event27th International Telecommunication Networks and Applications Conference, ITNAC 2017 - Melbourne, Australia
Duration: 22 Nov 201724 Nov 2017

Conference

Conference27th International Telecommunication Networks and Applications Conference, ITNAC 2017
CountryAustralia
CityMelbourne
Period22/11/1724/11/17

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