35 citations · 43 across the 5 of their papers we have counts for
11 papers
Fast Successive-Cancellation List Flip Decoding of Polar Codes
Nghia Doan, Seyyed Ali Hashemi, Warren J. Gross
This work presents a fast successive-cancellation list flip (Fast-SCLF) decoding algorithm for polar codes that addresses the high latency issue associated with the successive-canc…
Decoding Reed-Muller Codes with Successive Codeword Permutations
Nghia Doan, Seyyed Ali Hashemi, Marco Mondelli +1
A novel recursive list decoding (RLD) algorithm for Reed-Muller (RM) codes based on successive permutations (SP) of the codeword is presented. A low-complexity SP scheme applied to…
Successive-Cancellation Decoding of Reed-Muller Codes with Fast Hadamard Transform
Nghia Doan, Seyyed Ali Hashemi, Warren J. Gross
A novel permuted fast successive-cancellation list decoding algorithm with fast Hadamard transform (FHT-FSCL) is presented. The proposed decoder initializes active de…
A Tree Search Approach for Maximum-Likelihood Decoding of Reed-Muller Codes
Seyyed Ali Hashemi, Nghia Doan, Warren J. Gross +2
A low-complexity tree search approach is presented that achieves the maximum-likelihood (ML) decoding performance of Reed-Muller (RM) codes. The proposed approach generates a bit-f…
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,…
Decoding Polar Codes with Reinforcement Learning
Nghia Doan, Seyyed Ali Hashemi, Warren Gross
In this paper we address the problem of selecting factor-graph permutations of polar codes under belief propagation (BP) decoding to significantly improve the error-correction perf…
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…
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)…
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…
Decoding Reed-Muller and Polar Codes by Successive Factor Graph Permutations
Seyyed Ali Hashemi, Nghia Doan, Marco Mondelli +1
Reed-Muller (RM) and polar codes are a class of capacity-achieving channel coding schemes with the same factor graph representation. Low-complexity decoding algorithms fall short i…
On the Decoding of Polar Codes on Permuted Factor Graphs
Nghia Doan, Seyyed Ali Hashemi, Marco Mondelli +1
Polar codes are a channel coding scheme for the next generation of wireless communications standard (5G). The belief propagation (BP) decoder allows for parallel decoding of polar…