Low complexity LLR metrics for polar coded QAM

Hasan, Alaa A.; Marsland, Ian

doi:10.1109/ccece.2017.7946778

Cited by 9 publications

(5 citation statements)

References 6 publications

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“…After transmission over AWGN channels or Rayleigh fading channels disturbed by AWGN, and assuming equiprobable bits, P (b = 0) = P (b = 1) = 1/2, the Log Likelihood Ratio (LLR) (λ t ) for bit x t is calculated according to [31] as follows…”

Section: System Modelmentioning

confidence: 99%

Combined Polar Codes and 2-12 QAM Applied to 5G Communications

Morais de Oliveira,

Melo Guedes Alcoforado,

Markarian

et al. 2023

JCIS

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The 5th generation of cellular communications systems (5G), standardized by the 3rd Generation Partnership Project (3GPP), uses polar codes in both physical download control channel (PDCCH) and physical download shared channel (PDSCH), combined with some low order modulations, such as QPSK and 16-QAM. Recently, 2-12-QAM modulation was proposed as an energy-efficient scheme when compared to 16-QAM. This article investigates the performance of a communication system using polar codes combined with a 2-12-QAM modulation scheme over channels disturbed by additive white Gaussian noise (AWGN) as well as over channels disturbed simultaneously by Rayleigh fading and AWGN. The 2-12-QAM modulation is compatible with legacy 16-QAM still widely used, and when combined with appropriate error correcting codes produces results that approach the Shannon limit.

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Section: System Modelmentioning

confidence: 99%

Combined Polar Codes and 2-12 QAM Applied to 5G Communications

Morais de Oliveira,

Melo Guedes Alcoforado,

Markarian

et al. 2023

JCIS

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show abstract

“…denotes the expected value operator [27]. After transmission over AWGN channels or Rayleigh fading channels disturbed by AWGN, and assuming equiprobable bits, P (b = 0) = P (b = 1) = 1/2, the Log Likelihood Ratio (λ t ) for bit x t is calculated according to [28] as follows…”

Section: System Modelmentioning

confidence: 99%

Combined Polar Codes and 2-12 QAM over AWGN and Rayleigh Fading Channels

Oliveira

Alcoforado

Markarian

et al. 2021

Preprint

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This article investigates a communication system using polar codes combined with a 2-12 QAM modulation scheme over channels disturbed by additive white Gaussian noise (AWGN) as well as over channels disturbed by Rayleigh fading in addition to AWGN. The 2-12 QAM modulation is compatible with legacy 16 QAM still widely used, and when combined with appropriate error correcting codes produces results that approach the Shannon limit.

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“…Furthermore, the length of polar codes exceeds SC decoding's capabilities and channel capacity. SC decoding is also inadequate regarding its ability to correct errors when used for short to intermediate code lengths [8]. While SCL enhances the error correction performance of SC for polar codes, it has a higher computational complexity and poorer output performance [9].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Different Decoding Techniques With Gaussian Approximation on the Performance of Polar Codes

Suhaimi

Shuhaimi

Mohamad

2022

AEJ

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In the last ten years, polar code research has piqued the interest of firms and researchers, particularly in the communication industry. Polar codes have been utilised as a coding method for the fifth-generation wireless standard (5G). However, the polar decoder does not adequately correct errors in successive cancellation (SC) decoding when dealing with short- to intermediate-length codes. However, SC decoding can correct errors more efficiently by using sequential cancellation list (SCL) decoding. The main drawback of SCL is its higher cost due to computational complexity and throughput. The present research investigates the effect of Gaussian approximation (GA) and different decoding approaches on the performance of polar codes. First, SC and SCL decoders are developed utilising amplitude shift keying modulation; a decoder using GA is then integrated. According to simulation data, the SCL, both with and without GA, exhibits a better block error rate (BLER) than SC. The maximum difference between the SCL decoder and SC decoder is 0.6 dB at BLER=0.1 for N=2048. Furthermore, at BLER=5.6 x 10-6, the SCL decoder with GA performs better than the SC decoder for block lengths, N=1024, with a maximum difference of 2.72 dB. When the polar decoder with GA is utilised, enhancements are observed in polar code performance for various list sizes and block lengths, although time complexity is increased.

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Low complexity LLR metrics for polar coded QAM

Cited by 9 publications

References 6 publications

Combined Polar Codes and 2-12 QAM Applied to 5G Communications

Combined Polar Codes and 2-12 QAM Applied to 5G Communications

Combined Polar Codes and 2-12 QAM over AWGN and Rayleigh Fading Channels

The Effect of Different Decoding Techniques With Gaussian Approximation on the Performance of Polar Codes

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