On the performance of the Poisson-point-process-based networks with no channel state information feedback
Journal article, 2016
Recently, substantial attention has been paid to analyse the performance of wireless networks in the cases where the positions of the base stations are modelled by stochastic geometry. In this study, the authors analyse the performance of Rayleigh-fading Poisson-point-process (PPP)-based networks. They derive the optimal transmission rate that maximises the per-user throughput. Also, they determine sufficient conditions for positive diversity gain in PPP-based networks, develop tight approximations for the effective density of the network and give a simplified expression to calculate the outage probability for the interference-limited case. The analytical and the numerical results demonstrate considerable potential for efficient data transmission in PPP-based networks.
probability
radiofrequency interference
stochastic processes
tight approximation development
Rayleigh-fading Poisson-point-process-based networks
no channel state information feedback
interference-limited case
per-user throughput maximisation
optimal transmission rate
wireless networks
stochastic geometry
approximation theory
base stations
Rayleigh channels
data transmission
diversity reception
PPP-based networks
outage probability calculation
positive diversity gain
Author
Chao Fang
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
Behrooz Makki
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
Tommy Svensson
Chalmers, Signals and Systems, Communication, Antennas and Optical Networks
IET Communications
1751-8628 (ISSN) 1751-8636 (eISSN)
Vol. 10 15 2018-2024Subject Categories
Electrical Engineering, Electronic Engineering, Information Engineering
DOI
10.1049/iet-com.2015.1088