Power control scheme for multiple antenna systems with space-time coding in Rayleigh fading channels

2011 ◽  
Vol 22 (5) ◽  
pp. 730-738 ◽  
Author(s):  
Xiangbin Yu ◽  
Guangguo Bi
Keyword(s):  
Power Control ◽  
Fading Channels ◽  
Rayleigh Fading ◽  
Rayleigh Fading Channels ◽  
Multiple Antenna ◽  
Multiple Antenna Systems ◽  
Space Time Coding ◽  
Control Scheme ◽  
Time Coding ◽  
Antenna Systems

scholarly journals Short-Packet Communications Over Multiple-Antenna Rayleigh-Fading Channels

2016 ◽  
Vol 64 (2) ◽  
pp. 618-629 ◽  
Author(s):  
Giuseppe Durisi ◽  
Tobias Koch ◽  
Johan Ostman ◽  
Yury Polyanskiy ◽  
Wei Yang
Keyword(s):  
Fading Channels ◽  
Rayleigh Fading ◽  
Rayleigh Fading Channels ◽  
Multiple Antenna ◽  
Short Packet

scholarly journals Capacity Analysis of Distributed Antenna Systems with Beamforming

2018 ◽  
Vol 232 ◽  
pp. 04039
Author(s):  
Meiyan Ju ◽  
Chao Chen ◽  
Yueheng Li ◽  
Guoping Tan
Keyword(s):  
Rayleigh Fading ◽  
Path Loss ◽  
Mathematical Expression ◽  
System Capacity ◽  
Capacity Analysis ◽  
Multiple Antenna ◽  
Distributed Antenna Systems ◽  
Multiple Antenna Systems ◽  
Distributed Antenna ◽  
Antenna Systems

Distributed antenna systems (DASs) can reduce the access distance, increase system capacity and improve system performance compared with conventional centralized multiple antenna systems. In this paper, the system capacity of downlink DAS with beamforming is investigated. The mathematical expression of system capacity is derived over the composite channel including Rayleigh fading, shadowing and path loss. At the same time, the interference from other APs is also considered for the studied AP. Numerical methods including Gauss-Hermite integral and composite Simpson’s rule are used to compute the system capacity of DAS under different MS distributions. Numerical results verify the precision of the mathematical analysis of system capacity by comparing Monte-Carlo simulation results. The results also show interference among APs shouldn’t be ignored when APs are close to each other or there are many APs.

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