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20182021
most citedHigh-Throughput and Energy-Efficient VLSI Architecture for Ordered Reliability Bits GRAND

75 citations · 165 across the 6 of their papers we have counts for

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11 papers · 1 filter

cs.IT2021★ 75 cited

High-Throughput and Energy-Efficient VLSI Architecture for Ordered Reliability Bits GRAND

Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +2

Ultra-reliable low-latency communication (URLLC), a major 5G New-Radio use case, is the key enabler for applications with strict reliability and latency requirements. These applica…

cs.IT2021★ 30 cited

High-Throughput VLSI architecture for Soft-Decision decoding with ORBGRAND

Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +2

Guessing Random Additive Noise Decoding (GRAND) is a recently proposed approximate Maximum Likelihood (ML) decoding technique that can decode any linear error-correcting block code…

cs.IT2020

On Systematic Polarization-Adjusted Convolutional (PAC) Codes

Thibaud Tonnellier, Warren J. Gross

Polarization-adjusted convolutional (PAC) codes were recently proposed and arouse the interest of the channel coding community because they were shown to approach theoretical bound…

cs.IT2020★ 35 cited

Practical Dynamic SC-Flip Polar Decoders: Algorithm and Implementation

Furkan Ercan, Thibaud Tonnellier, Nghia Doan +1

SC-Flip (SCF) is a low-complexity polar code decoding algorithm with improved performance, and is an alternative to high-complexity (CRC)-aided SC-List (CA-SCL) decoding. However,…

cs.IT2020

High-Throughput VLSI Architecture for GRAND

Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +1

Guessing Random Additive Noise Decoding (GRAND) is a recently proposed universal decoding algorithm for linear error correcting codes. Since GRAND does not depend on the structure…

cs.IT2019

Deep-Learning-Aided Successive-Cancellation Decoding of Polar Codes

Seyyed Ali Hashemi, Nghia Doan, Thibaud Tonnellier +1

A deep-learning-aided successive-cancellation list (DL-SCL) decoding algorithm for polar codes is introduced with deep-learning-aided successive-cancellation (DL-SC) decoding being…

cs.IT2019

Efficient Flicker-Free FEC Codes using Knuth's Balancing Algorithm for VLC

Elie Ngomseu Mambou, Thibaud Tonnellier, Seyyed Ali Hashemi +1

Visible light communication (VLC) provides a short-range optical wireless communication through light-emitting diode (LED) lighting. Light beam flickering and dimming are among the…

cs.IT2019

Neural Dynamic Successive Cancellation Flip Decoding of Polar Codes

Nghia Doan, Seyyed Ali Hashemi, Furkan Ercan +2

Dynamic successive cancellation flip (DSCF) decoding of polar codes is a powerful algorithm that can achieve the error correction performance of successive cancellation list (SCL)…

cs.IT2019★ 9 cited

Asymmetric Construction of Low-Latency and Length-Flexible Polar Codes

Adam Cavatassi, Thibaud Tonnellier, Warren J. Gross

Polar codes are a class of capacity-achieving error correcting codes that have been selected for use in enhanced mobile broadband in the 3GPP 5th generation (5G) wireless standard.…

cs.IT2019

Fast Decoding of Multi-Kernel Polar Codes

Adam Cavatassi, Thibaud Tonnellier, Warren J. Gross

Polar codes are a class of linear error correction codes which provably attain channel capacity with infinite codeword lengths. Finite length polar codes have been adopted into the…

cs.IT2018

Neural Belief Propagation Decoding of CRC-Polar Concatenated Codes

Nghia Doan, Seyyed Ali Hashemi, Elie Ngomseu Mambou +2

Polar codes are the first class of error correcting codes that provably achieve the channel capacity at infinite code length. They were selected for use in the fifth generation of…