Data Transmission Using Convolutional Codes and Bi-directional Soft Output Viterbi Algorithm over the Two-User Binary Adder Channel

Alcoforado, Maria de Lourdes Melo Guedes; Bulhões, Lucas; Andrade, Abner; Madeiro, Francisco; Rocha, Valdemar C. da

doi:10.14209/jcis.2017.13

Cited by 1 publication

(1 citation statement)

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“…The SC is able to estimate and decide the message bits based on the structure of the encoder and the channel output [31]. Unlike soft decoding decoding techniques [33], when decoding a bit from a frozen position the decoder automatically assigns a previously known bit, in this work such bit is 0, to û, the decoded message sequence. Otherwise, for decoding an information bit, the decoder decision is based on the previous decoded bits and their Log-Likelihood Ratio (LLR) as [8]…”

Section: A Polar Decodingmentioning

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: A Polar Decodingmentioning

confidence: 99%