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Analytical Performance Analysis of the M2M Wireless Link with an Antenna Selection System Over Interference Limited Dissimilar Composite Fading Environments Cover

Analytical Performance Analysis of the M2M Wireless Link with an Antenna Selection System Over Interference Limited Dissimilar Composite Fading Environments

Open Access
|Dec 2022

Abstract

This paper considers direct mobile-to-mobile (M2M) communications with a dual antenna selection (AS) system at a destination mobile node (DMN) in interference limited, dissimilar composite fading environments. In particular, we model dissimilar interference limited signals at the inputs of the dual branch AS system as (i) the ratio of two Nakagami-m (N) random variables (RVs) at the first branch and (ii) the ratio of two Rice RVs at the second branch, in order to account for non line-of-sight (NLOS) and line-of-sight (LOS) communications, respectively. Moreover, we assume variable powers of the desired as well as interference signals at the output of the DMN in order to account for the impact of shadowing. For the proposed model, we derive probability density functions, cumulative distribution functions, outage probabilities and average level crossing rates. The derived statistical results are evaluated for all the statistical measures considered and are graphically presented in order to provide insight into the impact of composite fading severities and LOS factors for the desired signal, as well as for the interference, on the system performances.

DOI: https://doi.org/10.34768/amcs-2022-0040 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
Language: English
Page range: 569 - 582
Submitted on: Dec 29, 2021
Accepted on: Jul 18, 2022
Published on: Dec 30, 2022
Published by: University of Zielona Góra
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Danijel Ðošić, Dejan Milić, Nataša Kontrec, Časlav Stefanović, Srðan Milosavljević, Dušan M. Stefanović, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.