343 citations · 465 across the 22 of their papers we have counts for
5 papers · 1 filter
Communication and Computation Assisted Sensing Information Freshness Performance Analysis in Vehicular Networks
Ning Jiang, Shi Yan, Zhuohan Liu +2
The timely sharing of raw sensing information in the vehicular networks (VNETs) is essential to safety. In order to improve the freshness of sensing information, joint scheduling o…
Mode Selection and Resource Allocation in Sliced Fog Radio Access Networks: A Reinforcement Learning Approach
Hongyu Xiang, Mugen Peng, Yaohua Sun +1
The mode selection and resource allocation in fog radio access networks (F-RANs) have been advocated as key techniques to improve spectral and energy efficiency. In this paper, we…
Deep Reinforcement Learning Based Mode Selection and Resource Allocation for Cellular V2X Communications
Xinran Zhang, Mugen Peng, Shi Yan +1
Cellular vehicle-to-everything (V2X) communication is crucial to support future diverse vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehic…
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…
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…