DocumentCode :
265961
Title :
Downlink coverage probability in MIMO HetNets with flexible cell selection
Author :
Gupta, Abhishek K. ; Dhillon, Harpreet S. ; Vishwanath, Sriram ; Andrews, Jeffrey G.
Author_Institution :
WNCG, Univ. of Texas at Austin, Austin, TX, USA
fYear :
2014
fDate :
8-12 Dec. 2014
Firstpage :
1534
Lastpage :
1539
Abstract :
In this paper, we study the coverage probability of a K-tier multiple-input multiple-output heterogeneous cellular network (MIMO HetNet) assuming (i) zero-forcing precoding at all the base stations (BSs), (ii) Rayleigh fading, (iii) independent Poisson Point Process (PPP) model for the locations of BSs of each tier, and (iv) general cell selection rule that maximizes average received signal-to-interference-plus-noise ratio (SINR) at the users. Our analysis highlights key differences between MIMO HetNets and the more familiar single antenna HetNets in terms of cell selection. While it is challenging to derive exact cell selection rule to maximize average downlink SINR in MIMO HetNets, we show that adding an appropriately chosen per-tier selection bias yields a close approximation. The bias value for each tier is given in closed form. One interpretation of this result is that MIMO HetNets may balance load more naturally across different tiers in certain special cases compared to single antenna HetNets where an artificial selection bias is often needed for load balancing.
Keywords :
MIMO communication; Rayleigh channels; antenna arrays; approximation theory; cellular radio; precoding; K-tier network; MIMO HetNets; Rayleigh fading; SINR; base stations; close approximation; downlink coverage probability; flexible cell selection; heterogeneous cellular network; independent Poisson point process; multiple-input multiple-output network; signal-to-interference-plus-noise ratio; single antenna HetNets; zero forcing precoding; Antennas; Downlink; Interference; Laplace equations; MIMO; Multiaccess communication; Signal to noise ratio; Heterogeneous cellular network; MIMO; cell selection bias; load balancing; stochastic geometry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
Type :
conf
DOI :
10.1109/GLOCOM.2014.7037026
Filename :
7037026
Link To Document :
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