Beamforming in Massive MU-MIMO Cellular Networks: A Stochastic Geometry Approach

被引：0
|
作者：
Hassan, Ahmad Kamal [1 ,2 ]
Moinuddin, Muhammad [1 ,2 ]
Al-Saggaf, Ubaid M. [1 ,2 ]
机构：
[1] King Abdulaziz Univ, Ctr Excellence Intelligent Engn Syst, POB 80200, Jeddah 21589, Saudi Arabia
[2] King Abdulaziz Univ, Dept Elect & Comp Engn, POB 80204, Jeddah 21589, Saudi Arabia
来源：
2016 6TH INTERNATIONAL CONFERENCE ON INTELLIGENT AND ADVANCED SYSTEMS (ICIAS) | 2016年
关键词：
Beamforming; Antenna Diversity; Signal-to-interference ratio; Stochastic Geometry; RELIABILITY; WIRELESS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This work gives an insight into Beamforming scheme employed to Massive multi-user multiple-input multiple-output MU-MIMO Cellular System under stochastic geometry approach. A particular case envisioned for 5G; where a cellular network comprises of a number of antennas at Base Station that forms a beamforming projection on a single antenna user or Mobile Station. Under the auspices of stochastic geometry approach; a new theorem for outage probability under aggregate interference settings is derived that is generalized from recent works in beamforming and Massive MU-MIMO Heterogeneous Cellular Networks. Outage probability is characterized for three different reuse factors for the case of orthogonal pilots and results are verified by means of Monte Carlo simulations.
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页数：5
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