Title
Spectral Efficiency Analysis in Presence of Correlated Gamma-Lognormal Desired and Interfering Signals.
Abstract
Spectral efficiency analysis in presence of correlated desired and interfering signals is very important in densely deployed access points scenarios of modern generation wireless networks. However, most works available in literature either address the effect of correlated interfering signals or include interferer activity. Further, available literature has also addressed the effect of large-scale fading (shadowing and distance-dependent path loss) only however, they have fallen short of including the composite effect of line-of-sight and nonline-of-sight multipath small-scale fading. The correlation of desired signals with interfering signals because of shadowing has also not been considered in existing literature either. In this paper, we present a comprehensive analytical signal to interference power ratio evaluation framework addressing all the above-mentioned important propagation effects in a holistic manner. In this analysis, we extend and apply the moment generating function-matching method to such systems to achieve high accuracy. We compare the analytical results against realistic channel model based extensive Monte-Carlo simulation for millimeter Wave and sub-6 GHz in both indoor and outdoor scenarios. The performance of the model is depicted in terms of mean, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\alpha \%$</tex-math></inline-formula> outage spectral efficiency, and Kullback–Leibler divergence and Kolmogorov–Smirnov distance.
Year
DOI
Venue
2018
10.1109/TVT.2019.2906456
IEEE Transactions on Vehicular Technology
Keywords
Field
DocType
Shadow mapping,Correlation,Interference,Fading channels,Standards,Downlink,Analytical models
Multipath propagation,Wireless network,Extremely high frequency,Computer science,Fading,Electronic engineering,Path loss,Spectral efficiency,Interference (wave propagation),Log-normal distribution
Journal
Volume
Issue
ISSN
abs/1811.05142
5
0018-9545
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Aritra Chatterjee100.34
Sandeep Mukherjee2183.85
Suvra Sekhar Das312923.05