activity
20112023
most citedBase Station ON-OFF Switching in 5G Wireless Networks: Approaches and Challenges

192 citations · 760 across the 38 of their papers we have counts for

collaborators
Showing cs.NIShow all

13 papers · 1 filter

cs.NI2023★ 1 cited

Graph Neural Networks for Joint Communication and Sensing Optimization in Vehicular Networks

Xuefei Li, Mingzhe Chen, Yuchen Liu +3

In this paper, the problem of joint communication and sensing is studied in the context of terahertz (THz) vehicular networks. In the studied model, a set of service provider vehic…

cs.NI2022★ 14 cited

EPViSA: Efficient Auction Design for Real-time Physical-Virtual Synchronization in the Metaverse

Minrui Xu, Dusit Niyato, Benjamin Wright +5

Metaverse can obscure the boundary between the physical and virtual worlds. Specifically, for the Metaverse in vehicular networks, i.e., the vehicular Metaverse, vehicles are no lo…

cs.NI2022

Joint Optimization of Sensing and Computation for Status Update in Mobile Edge Computing Systems

Yi Chen, Zheng Chang, Geyong Min +2

IoT devices recently are utilized to detect the state transition in the surrounding environment and then transmit the status updates to the base station for future system operation…

cs.NI2018★ 10 cited

Deep Reinforcement Learning Based Mode Selection and Resource Management for Green Fog Radio Access Networks

Yaohua Sun, Mugen Peng, Shiwen Mao

Fog radio access networks (F-RANs) are seen as potential architectures to support services of internet of things by leveraging edge caching and edge computing. However, current wor…

cs.NI2018★ 45 cited

Application of Machine Learning in Wireless Networks: Key Techniques and Open Issues

Yaohua Sun, Mugen Peng, Yangcheng Zhou +2

As a key technique for enabling artificial intelligence, machine learning (ML) is capable of solving complex problems without explicit programming. Motivated by its successful appl…

cs.NI2018★ 21 cited

Performance Optimization in Mobile-Edge Computing via Deep Reinforcement Learning

Xianfu Chen, Honggang Zhang, Celimuge Wu +3

To improve the quality of computation experience for mobile devices, mobile-edge computing (MEC) is emerging as a promising paradigm by providing computing capabilities within radi…