8 citations · 39 across the 22 of their papers we have counts for
5 papers · 1 filter
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.…
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…
Learning to Flip Successive Cancellation Decoding of Polar Codes with LSTM Networks
Xianbin Wang, Huazi Zhang, Rong Li +4
The key to successive cancellation (SC) flip decoding of polar codes is to accurately identify the first error bit. The optimal flipping strategy is considered difficult due to lac…
AI Coding: Learning to Construct Error Correction Codes
Lingchen Huang, Huazi Zhang, Rong Li +2
In this paper, we investigate an artificial-intelligence (AI) driven approach to design error correction codes (ECC). Classic error correction code was designed upon coding theory…
Predicting the Mumble of Wireless Channel with Sequence-to-Sequence Models
Yourui Huangfu, Jian Wang, Rong Li +4
Accurate prediction of fading channel in the upcoming transmission frame is essential to realize adaptive transmission for transmitters, and receivers with the ability of channel p…