Comparison of Access Point Distributions and Beamforming Strategies for Massive MIMO Networks : a Stochastic Geometry Approach

被引：0
|
作者：
Wiame, Charles [1 ]
Vandendorpe, Luc [1 ]
Oestges, Claude [1 ]
机构：
[1] Catholic Univ Louvain, ICTEAM, Louvain La Neuve, Belgium
来源：
2017 IEEE 28TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC) | 2017年
关键词：
Beamforming; MRT; ZF; clustering; stochastic geometry;
D O I：
10.1109/PIMRC.2017.8292741
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Strategies are developed to optimize the down-link performance of a massive MIMO network constrained to a fixed global transmit power and a fixed total number of transmit antennas. Two possible degrees of freedom are analysed : the distribution of the base stations and the beamforming technique. Two different shadowing environments are considered as well. The network performance is evaluated either by means of Monte Carlo simulations, or using analytical expressions derived thanks to stochastic geometry. The results suggest that the coverage probability increases with the numbers of base stations and the cluster size.
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页数：5
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