15 citations · 40 across the 29 of their papers we have counts for
8 papers · 1 filter
Social-aware Cooperative Caching in Fog Radio Access Networks
Baotian Fan, Yanxiang Jiang, Fu-Chun Zheng +2
In this paper, the cooperative caching problem in fog radio access networks (F-RANs) is investigated to jointly optimize the transmission delay and energy consumption. Exploiting t…
Content Popularity Prediction Based on Quantized Federated Bayesian Learning in Fog Radio Access Networks
Yunwei Tao, Yanxiang Jiang, Fu-Chun Zheng +3
In this paper, we investigate the content popularity prediction problem in cache-enabled fog radio access networks (F-RANs). In order to predict the content popularity with high ac…
A Federated Reinforcement Learning Method with Quantization for Cooperative Edge Caching in Fog Radio Access Networks
Yanxiang Jiang, Min Zhang, Fu-Chun Zheng +3
In this paper, cooperative edge caching problem is studied in fog radio access networks (F-RANs). Given the non-deterministic polynomial hard (NP-hard) property of the problem, a d…
MDS Codes Based Group Coded Caching in Fog Radio Access Networks
Qianli Tan, Yanxiang Jiang, Fu-Chun Zheng +2
In this paper, we investigate maximum distance separable (MDS) codes based group coded caching in fog radio access networks (F-RANs). The goal is to minimize the average fronthaul…
Coded Caching via Federated Deep Reinforcement Learning in Fog Radio Access Networks
Yingqi Chen, Yanxiang Jiang, Fu-Chun Zheng +2
In this paper, the placement strategy design of coded caching in fog-radio access networks (F-RANs) is investigated. By considering time-variant content popularity, federated deep…
Cooperative Edge Caching via Multi Agent Reinforcement Learning in Fog Radio Access Networks
Qi Chang, Yanxiang Jiang, Fu-Chun Zheng +2
In this paper, the cooperative edge caching problem in fog radio access networks (F-RANs) is investigated. To minimize the content transmission delay, we formulate the cooperative…
Content Popularity Prediction in Fog-RANs: A Clustered Federated Learning Based Approach
Zhiheng Wang, Yanxiang Jiang, Fu-Chun Zheng +2
In this paper, the content popularity prediction problem in fog radio access networks (F-RANs) is investigated. Based on clustered federated learning, we propose a novel mobility-a…
Computation Offloading and Resource Allocation in F-RANs: A Federated Deep Reinforcement Learning Approach
Lingling Zhang, Yanxiang Jiang, Fu-Chun Zheng +2
The fog radio access network (F-RAN) is a promising technology in which the user mobile devices (MDs) can offload computation tasks to the nearby fog access points (F-APs). Due to…