Scaling laws for simple user selection algorithm in MIMO broadcast channels

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Abstract

This paper discusses the scaling laws of sum capacity for simple user selection algorithm in MIMO broadcast channels. We present an efficient user selection algorithm, named as simple user selection algorithm (or just simple algorithm). This algorithm is based on the top NI users selected from Nu total users in the system. The asymptotic behavior of throughput for MU-MIMO BC (Multi User MIMO Broadcast) system with simple algorithm is studied. It is shown that the upper bound on sum capacity remains unchanged as that of DPC (Dirty Paper Coding). The simple algorithm takes NI largest power users, reducing the search subset for scheduling from Nu to NI , while achieving the same upper bound. This is an important result in the large number of users regime (or devices for IoT scenario) where users try to get the scared communication resource. In the end, we showed that by reducing the search subset does not reduce the degrees of freedom in the system.

Original languageEnglish
Title of host publicationProceedings of 2019 IEEE Microwave Theory and Techniques in Wireless Communications, MTTW 2019
EditorsArturs Aboltins, Anna Litvinenko
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages76-81
Number of pages6
ISBN (Electronic)9781728144733
DOIs
Publication statusPublished - 14 Nov 2019
Event2019 IEEE Microwave Theory and Techniques in Wireless Communications, MTTW 2019 - Scientific Library of Riga Technical University, Riga, Latvia
Duration: 01 Oct 201902 Oct 2019
http://mttw.org/
http://mttw.org/program.php (full program)
https://ieeexplore.ieee.org/xpl/conhome/8891845/proceeding (proceedings)

Publication series

NameProceedings of 2019 IEEE Microwave Theory and Techniques in Wireless Communications, MTTW 2019

Conference

Conference2019 IEEE Microwave Theory and Techniques in Wireless Communications, MTTW 2019
Country/TerritoryLatvia
CityRiga
Period01/10/1902/10/19
Internet address

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