Abstract
Optimization of spectral efficiency and quality of service can attain functional channel capacity for a wireless communication system. The channel capacity analysis over a fading channel is essential for realizing this goal. A recently developed model called Beaulieu–Xie fading channel model acquires the flavors of flexibility from Nakagami-m fading parameters and the non-centralized chi-distribution of the Rician fading model, which characterizes both line of sight and non-line of sight channels. The current work presents the channel capacity analysis with adaptive transmission techniques over Beaulieu–Xie fading channels. Various adaptive transmission schemes, such as channel inversion with a fixed-rate, truncated channel inversion with a fixed-rate, and optimal rate adaptation, are evaluated for the Beaulieu–Xie fading channel model. Additionally, the performance of the wireless system in terms of the bit error rate of coherent and non-coherent modulation is derived mathematically for this fading channel. Lastly, the mathematical expressions derived are verified with the help of Monte–Carlo simulation or standard results available in the literature.
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L. M. Devi and A. D. Singh
The authors declare that they have no conflicts of interest.
This article does not contain any studies with human participants or animals performed by any of the authors.
The initial version of this paper in Russian is published in the journal “Izvestiya Vysshikh Uchebnykh Zavedenii. Radioelektronika,” ISSN 2307-6011 (Online), ISSN 0021-3470 (Print) on the link http://radio.kpi.ua/article/view/S0021347022010034 with DOI: https://doi.org/10.20535/S0021347022010034
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Translated from Izvestiya Vysshikh Uchebnykh Zavedenii. Radioelektronika, No. 1, pp. 23-32, January, 2022 https://doi.org/10.20535/S0021347022010034 .
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Devi, L.M., Singh, A.D. Channel Capacity Analysis of Various Adaptive Transmission Schemes and BER Performance at Beaulieu-Xie Fading. Radioelectron.Commun.Syst. 65, 18–26 (2022). https://doi.org/10.3103/S0735272722010034
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DOI: https://doi.org/10.3103/S0735272722010034