15 citations · 73 across the 38 of their papers we have counts for
38 papers
Joint Uplink and Downlink Resource Allocation Towards Energy-efficient Transmission for URLLC
Kang Li, Pengcheng Zhu, Yan Wang +2
Ultra-reliable and low-latency communications (URLLC) is firstly proposed in 5G networks, and expected to support applications with the most stringent quality-of-service (QoS). How…
Interference-Limited Ultra-Reliable and Low-Latency Communications: Graph Neural Networks or Stochastic Geometry?
Yuhong Liu, Changyang She, Yi Zhong +3
In this paper, we aim to improve the Quality-of-Service (QoS) of Ultra-Reliability and Low-Latency Communications (URLLC) in interference-limited wireless networks. To obtain time…
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…
Analysis and Optimization of Hybrid Caching in mmWave Networks with BS Cooperation
Le Yang, Fu-Chun Zheng, Shi Jin
In this paper, we investigate a hybrid caching strategy maximizing the success transmission probability (STP) in a millimeter wave (mmWave) cache-enabled network. First, we derive…
Spatio-Temporal Analysis of SINR Meta Distribution for mmWave Heterogeneous Networks Under Geo/G/1 Queues
Le Yang, Fu-Chun Zheng, Shi Jin
A fine-grained analysis of network performance is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference-plus-noise-ratio (SINR)…
Coverage Probability and Energy Efficiency of Reconfigurable Intelligent Surface-Assisted mmWave Networks
Le Yang, Fu-Chun Zheng, Shi Jin
Reconfigurable intelligent surface (RIS) emerges as a promising technology for the next generation networks. In this paper, we utilize the tools from stochastic geometry to study t…
A Fine-Grained Analysis of mmWave Heterogeneous Networks
Le Yang, Fu-Chun Zheng, Shi Jin
A fine-grained analysis of the cache-enabled networks is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference-plus-noise-ratio…
On Meta Distribution and Local Delay for Cache-Enabled Networks with Random DTX: Analysis and Optimization
Le Yang, Fu-Chun Zheng, Yi Zhong +1
A fine-grained analysis of the cache-enabled networks is crucial for system design. In this paper, we focus on the meta distribution of the signal-to-interference ratio (SIR) for t…
Spatio-Temporal Analysis of Cellular Networks with Cell-Center/Edge Users
Le Yang, Fu-Chun Zheng, Shi Jin
Emergence of various types of services has brought about explosive growth of traffic as well as diversified traffic characteristics in the cellular networks. To have a comprehensiv…
Joint Optimal Software Caching, Computation Offloading and Communications Resource Allocation for Mobile Edge Computing
Wanli Wen, Ying Cui, Tony Q. S. Quek +2
As software may be used by multiple users, caching popular software at the wireless edge has been considered to save computation and communications resources for mobile edge comput…
Enhancing Physical Layer Security of Random Caching in Large-Scale Multi-Antenna Heterogeneous Wireless Networks
Wanli Wen, Chenxi Liu, Yaru Fu +3
In this paper, we propose a novel secure random caching scheme for large-scale multi-antenna heterogeneous wireless networks, where the base stations (BSs) deliver randomly cached…
A Novel Massive MIMO Beam Domain Channel Model
Fan Lai, Cheng-Xiang Wang, Jie Huang +2
A novel beam domain channel model (BDCM) for massive multiple-input multiple-output (MIMO) communication systems has been proposed in this paper. The near-field effect and spherica…
Spatio-temporal Modeling for Massive and Sporadic Access
Yi Zhong, Guoqiang Mao, Xiaohu Ge +1
The vision for smart city imperiously appeals to the implementation of Internet-of-Things (IoT), some features of which, such as massive access and bursty short packet transmission…
Edge Caching with Real-Time Guarantees
Le Yang, Yi Zhong, Fu-Chun Zheng +1
In recent years, optimization of the success transmission probability in wireless cache-enabled networks has been studied extensively. However, few works have concerned about the r…
Cooperative Caching in Fog Radio Access Networks: A Graph-based Approach
Yanxiang Jiang, Xiaoting Cui, Mehdi Bennis +1
In this paper, cooperative caching is investigated in fog radio access networks (F-RAN). To maximize the offloaded traffic, cooperative caching optimization problem is formulated.…
Distributed Edge Caching via Reinforcement Learning in Fog Radio Access Networks
Liuyang Lu, Yanxiang Jiang, Mehdi Bennis +3
In this paper, the distributed edge caching problem in fog radio access networks (F-RANs) is investigated. By considering the unknown spatio-temporal content popularity and user pr…
Decentralized Asynchronous Coded Caching Design and Performance Analysis in Fog Radio Access Networks
Yanxiang Jiang, Wenlong Huang, Mehdi Bennis +1
In this paper, we investigate the problem of asynchronous coded caching in fog radio access networks (F-RANs). To minimize the fronthaul load, the encoding set collapsing rule and…