Capacity scaling of MIMO broadcast channels with random user distribution

Illsoo Sohn, Jeffrey G. Andrews, Kwang Bok Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

A novel capacity scaling law for multiple-input multiple-output (MIMO) broadcast channels is derived considering a random user distribution. The random locations cause unequal average SNRs amongst the users, whereas prior work typically assumes that all users have the same average SNR. Most centralized wireless networks, e.g. cellular systems, are more accurately captured by the proposed model. For a large number of users, the average sum capacity is shown to scale like M log K instead of M log log K, where M and K denote the number of transmit antennas and the number of users within a cell. This means that the average sum capacity of cellular MIMO broadcast channels grows significantly faster than previous results indicate.

Original languageEnglish
Title of host publication2010 IEEE International Symposium on Information Theory, ISIT 2010 - Proceedings
Pages2133-2137
Number of pages5
DOIs
StatePublished - 2010
Event2010 IEEE International Symposium on Information Theory, ISIT 2010 - Austin, TX, United States
Duration: 13 Jun 201018 Jun 2010

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
ISSN (Print)2157-8103

Conference

Conference2010 IEEE International Symposium on Information Theory, ISIT 2010
Country/TerritoryUnited States
CityAustin, TX
Period13/06/1018/06/10

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