8 citations · 22 across the 8 of their papers we have counts for
8 papers
WAIR-D: Wireless AI Research Dataset
Yourui Huangfu, Jian Wang, Shengchen Dai +4
It is a common sense that datasets with high-quality data samples play an important role in artificial intelligence (AI), machine learning (ML) and related studies. However, althou…
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…
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…
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…
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…
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…