Performance of GSM and GSM-SM over $\alpha -\mu$ Fading Channel Model

Khatoon, A.; Sharique, Mohd

doi:10.1109/tencon.2019.8929377

Cited by 2 publications

(1 citation statement)

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“…The construction of polar codes in this work considers the polar sequence and its corresponding reliability according to the Technical Specification produced by ETSI 3rd Generation Partnership Project (3GPP) [22]. Here, the use of polar codes is extended from the AWGN channel in the direction of generalized fading channels modeled with α-µ [23], κ-µ [24] and η-µ [25] distributions. Generalized fading models embrace a variety of practical transmission scenarios ranging from moderate to severe fading and include Rayleigh, Rice and Nakagami, as special cases.…”

Section: Introductionmentioning

confidence: 99%

Performance of Polar Codes over Generalized Correlated Fading Channels

Barros

Oliveira²,

Alcoforado³

et al. 2022

JCIS

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Polar coding, as introduced by Arikan in 2009, is an error correcting code scheme that uses the polarization technique to obtain almost noise-free channels that are suitable for transmission. Polar codes are being widely studied due to their applications on the 5th Generation (5G) of mobile communication systems. In 5G communications, the wireless channel is subject to fading that can significantly degrade the quality of the transmitted signals. In this context, the generalized fading models are useful due to their capacity to model a variety channel conditions ranging from moderate to severe fading by adjusting some parameters. In this work, the authors investigate the performance of polar codes considering the transmission over generalized fading channels. Additionally, the effect of channel correlation is analyzed and a random interleaver is proposed to mitigate the negative impact of the correlation on the system performance. For the system with generalized fading modeled by η-µ distribution and Cyclic Redundancy Check (CRC) Aided Successive Cancellation List (CA-SCL) decoding, the scenario with correlated fading channel and interleaving shows a performance improvement compared to the system without interleaving. In this case, a gain of approximately 3.5 dB is obtained considering a Bit Error Rate (BER) of 10 −2 . Considering the α-µ (α = 2 and µ = 1) and the κ-µ (κ = µ = 2) fading channels, the uncorrelated systems outperform the correlated ones. Among them, the interleaver improves the performance of the systems. For BER of 10 −2 , as an example, the use of fading correlated channel and interleaver shows a performance improvement of 12 dB and 0.5 dB for the α-µ and κ-µ fading channels, respectively.

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Section: Introductionmentioning

confidence: 99%