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Telecommunication Systems
Erschienen in: Telecommunication Systems 2/2022

16.11.2021

Performance analysis of digital transmission in interference-limited networks

verfasst von: Mustafa K. Alshawaqfeh, Osamah S. Badarneh, Fares S. Almehmadi

Erschienen in: Telecommunication Systems | Ausgabe 2/2022

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Abstract

This paper aims at investigating the impact of interference on the performance of a wireless communication system operating over the Fisher–Snedecor \(\mathcal {F}\) composite fading channel. In particular, we consider an interference-limited network scenario, where both links: the main link and interfere links, are modeled by \(\mathcal {F}\) fading channels. Then, closed-form expressions for the probability density function (PDF) and cumulative distribution function (CDF) are derived for such scenario. Based on the obtained PDF and CDF, closed-form expressions for the outage probability, average bit error rates (BERs) for several modulation schemes, and average channel capacity are derived. Furthermore, we derive the expressions for the asymptotic performance for these above-mentioned metrics in order to provide more insights into the impact of different channel parameters on the system performance. To provide further insights into the impact of interference, the expressions for the performance metrics under the no-interference setup have been also derived and compared to its interference-limited counterparts. The excellent agreement between the analytical and Monte-Carlo simulations validates our analysis.
Vorheriger Artikel Secrecy performance analysis of half/full duplex AF/DF relaying in NOMA systems over fading channels
Nächster Artikel Semi-blind channel estimation based on modified CMA and unitary scrambling for massive MIMO systems

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Metadaten
Titel
Performance analysis of digital transmission in interference-limited networks
verfasst von
Mustafa K. Alshawaqfeh
Osamah S. Badarneh
Fares S. Almehmadi
Publikationsdatum
16.11.2021
Verlag
Springer US
Erschienen in
Telecommunication Systems / Ausgabe 2/2022
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI
https://doi.org/10.1007/s11235-021-00854-2

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