DocumentCode :
3063720
Title :
Capacity scaling of MIMO broadcast channels with random user distribution
Author :
Sohn, Illsoo ; Andrews, Jeffrey G. ; Lee, Kwang Bok
Author_Institution :
Wireless Networking & Commun. Group, Univ. of Texas at Austin, Austin, TX, USA
fYear :
2010
fDate :
13-18 June 2010
Firstpage :
2133
Lastpage :
2137
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.
Keywords :
MIMO communication; cellular radio; channel capacity; radio networks; average sum capacity; capacity scaling law; cellular MIMO broadcast channels; centralized wireless network; random user distribution; transmit antennas; Array signal processing; Broadcasting; Fading; Geometry; MIMO; Random variables; Receiving antennas; Transmitters; Transmitting antennas; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
Type :
conf
DOI :
10.1109/ISIT.2010.5513446
Filename :
5513446
Link To Document :
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