On the Asymptotic Performance Analysis of the k-th Best Link Selection over Non-identical Non-central Chi-square Fading Channels

Abstract
This paper derives the asymptotic distribution of the normalized k-th maximum order statistics of a sequence of non-central chi-square random variables with non-identical non-centrality parameters. We demonstrate the utility of these results in characterizing the signal-to-noise ratio in three different applications in wireless communication systems where the statistics of the k-th maximum channel power over Rician fading links are of interest. Furthermore, we derive simple expressions for the asymptotic outage probability, average throughput, achievable throughput, and average bit error probability. The proposed results are validated via extensive Monte Carlo simulations.

Citation
Subhash, A., Kalyani, S., Al-Badarneh, Y. H., & Alouini, M.-S. (2022). On the Asymptotic Performance Analysis of the k-th Best Link Selection over Non-identical Non-central Chi-square Fading Channels. IEEE Transactions on Communications, 1–1. https://doi.org/10.1109/tcomm.2022.3213276

Publisher
IEEE

Journal
IEEE Transactions on Communications

DOI
10.1109/TCOMM.2022.3213276

arXiv
2101.06978

Additional Links
https://ieeexplore.ieee.org/document/9915518/https://ieeexplore.ieee.org/document/9915518/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9915518

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Version History

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VersionDateSummary
2*
2022-10-11 06:54:01
Accepted in Journal
2021-04-15 07:54:31
* Selected version