TY - JOUR
T1 - On the Asymptotic Performance Analysis of the k-th Best Link Selection over Non-identical Non-central Chi-square Fading Channels
AU - Subhash, Athira
AU - Kalyani, Sheetal
AU - Al-Badarneh, Yazan H.
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2022-10-12
PY - 2022/10/10
Y1 - 2022/10/10
N2 - 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.
AB - 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.
UR - http://hdl.handle.net/10754/668786
UR - https://ieeexplore.ieee.org/document/9915518/
U2 - 10.1109/TCOMM.2022.3213276
DO - 10.1109/TCOMM.2022.3213276
M3 - Article
SN - 1558-0857
SP - 1
EP - 1
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
ER -