8 citations · 22 across the 8 of their papers we have counts for
5 papers · 1 filter
Distributed Learning for Time-varying Networks: A Scalable Design
Jian Wang, Yourui Huangfu, Rong Li +2
The wireless network is undergoing a trend from "onnection of things" to "connection of intelligence". With data spread over the communication networks and computing capability enh…
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…
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…
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…
A Flip-Syndrome-List Polar Decoder Architecture for Ultra-Low-Latency Communications
Huazi Zhang, Jiajie Tong, Rong Li +5
We consider practical hardware implementation of Polar decoders. To reduce latency due to the serial nature of successive cancellation (SC), existing optimizations improve parallel…