most citedLearning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks

6 citations · 10 across the 5 of their papers we have counts for

collaborators

8 papers

cs.IT20201 cited

Toward Terabits-per-second Communications: Low-Complexity Parallel Decoding of -Coset Codes

Xianbin Wang, Jiajie Tong, Huazi Zhang +3

Recently, a parallel decoding framework of -coset codes was proposed. High throughput is achieved by decoding the independent component polar codes in parallel. Various algori…

cs.IT2020

Toward Terabits-per-second Communications: A High-Throughput Hardware Implementation of -Coset Codes

Jiajie Tong, Xianbin Wang, Qifan Zhang +4

Recently, a parallel decoding algorithm of -coset codes was proposed.The algorithm exploits two equivalent decoding graphs.For each graph, the inner code part, which consists…

cs.IT2020

A Soft Cancellation Decoder for Parity-Check Polar Codes

Jiajie Tong, Huazi Zhang, Xianbin Wang +3

Polar codes has been selected as the channel coding scheme for 5G new radio (NR) control channel. Specifically, a special type of parity-check polar (PC-Polar) codes was adopted in…

eess.SP20191 cited

Realistic Channel Models Pre-training

Yourui Huangfu, Jian Wang, Chen Xu +5

In this paper, we propose a neural-network-based realistic channel model with both the similar accuracy as deterministic channel models and uniformity as stochastic channel models.…

cs.IT20192 cited

An Asymmetric Adaptive SCL Decoder Hardware for Ultra-Low-Error-Rate Polar Codes

Jiajie Tong, Huazi Zhang, Lingchen Huang +2

In theory, Polar codes do not exhibit an error floor under successive-cancellation (SC) decoding. In practice, frame error rate (FER) down to has not been reported with…

cs.IT2019

Reinforcement Learning for Nested Polar Code Construction

Lingchen Huang, Huazi Zhang, Rong Li +2

In this paper, we model nested polar code construction as a Markov decision process (MDP), and tackle it with advanced reinforcement learning (RL) techniques. First, an MDP environ…