4 citations · 12 across the 11 of their papers we have counts for
5 papers · 1 filter
Buffer-aware Wireless Scheduling based on Deep Reinforcement Learning
Chen Xu, Jian Wang, Tianhang Yu +5
In this paper, the downlink packet scheduling problem for cellular networks is modeled, which jointly optimizes throughput, fairness and packet drop rate. Two genie-aided heuristic…
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.…
Deep Reinforcement Learning for Scheduling in Cellular Networks
Jian Wang, Chen Xu, Yourui Huangfu +3
Integrating artificial intelligence (AI) into wireless networks has drawn significant interest in both industry and academia. A common solution is to replace partial or even all mo…
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…
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…