DocumentCode :
133664
Title :
User association and load balancing for cellular massive MIMO
Author :
Bethanabhotla, Dilip ; Bursalioglu, O.Y. ; Papadopoulos, H.C. ; Caire, Giuseppe
Author_Institution :
Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
fYear :
2014
fDate :
9-14 Feb. 2014
Firstpage :
1
Lastpage :
10
Abstract :
Massive MIMO is expected to play a key role in coping with the predicted mobile-data traffic explosion. Indeed, in combination with small cells and TDD operation, it promises large throughputs per unit area with low latency. In this paper we focus on the problem of balancing the load across networks with massive MIMO base-stations (BSs). The need for load balancing arises from variations in the user population density and is more pronounced in small cells due to the large variability in coverage area. We consider methods for load balancing over networks with small and large massive MIMO BSs. As we show, the distinct operation and properties of massive MIMO enable practical resource-efficient load-balancing methods with near-optimal performance.
Keywords :
MIMO communication; cellular radio; resource allocation; time division multiplexing; TDD operation; cellular massive MIMO; load balancing; mobile-data traffic explosion; small cells operation; user association; user population density; Fading; Load management; MIMO; Schedules; Sociology; Transmitting antennas; Massive MIMO; Nash Equilibrium; TDD reciprocity; association control; load balancing; scheduling; small cells;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory and Applications Workshop (ITA), 2014
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/ITA.2014.6804284
Filename :
6804284
Link To Document :
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