8 citations · 21 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…
Smart Scheduling based on Deep Reinforcement Learning for Cellular Networks
Jian Wang, Chen Xu, Rong Li +2
To improve the system performance towards the Shannon limit, advanced radio resource management mechanisms play a fundamental role. In particular, scheduling should receive much at…
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…