56 citations · 104 across the 9 of their papers we have counts for
9 papers
Resource Allocation Driven by Large Models in Future Semantic-Aware Networks
Haijun Zhang, Jiaxin Ni, Zijun Wu +2
Large model has emerged as a key enabler for the popularity of future networked intelligent applications. However, the surge of data traffic brought by intelligent applications put…
Fine-grained Spatio-Temporal Distribution Prediction of Mobile Content Delivery in 5G Ultra-Dense Networks
Shaoyuan Huang, Heng Zhang, Xiaofei Wang +3
The 5G networks have extensively promoted the growth of mobile users and novel applications, and with the skyrocketing user requests for a large amount of popular content, the cons…
EdgeMatrix: A Resource-Redefined Scheduling Framework for SLA-Guaranteed Multi-Tier Edge-Cloud Computing Systems
Shihao Shen, Yuanming Ren, Yanli Ju +3
With the development of networking technology, the computing system has evolved towards the multi-tier paradigm gradually. However, challenges, such as multi-resource heterogeneity…
Multi-Agent Graph Reinforcement Learning based On-Demand Wireless Energy Transfer in Multi-UAV-aided IoT Network
Ze Yu Zhao, Yueling Che, Sheng Luo +2
This paper proposes a new on-demand wireless energy transfer (WET) scheme of multiple unmanned aerial vehicles (UAVs). Unlike the existing studies that simply pursuing the total or…
Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network
Shihao Shen, Yiwen Han, Xiaofei Wang +2
Kubernetes (k8s) has the potential to coordinate distributed edge resources and centralized cloud resources, but currently lacks a specialized scheduling framework for edge-cloud n…
Accelerating Wireless Federated Learning via Nesterov's Momentum and Distributed Principle Component Analysis
Yanjie Dong, Luya Wang, Yuanfang Chi +5
A wireless federated learning system is investigated by allowing a server and workers to exchange uncoded information via orthogonal wireless channels. Since the workers frequently…
Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services
Minrui Xu, Hongyang Du, Dusit Niyato +9
Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This s…
EdgeMatrix: A Resources Redefined Edge-Cloud System for Prioritized Services
Yuanming Ren, Shihao Shen, Yanli Ju +3
The edge-cloud system has the potential to combine the advantages of heterogeneous devices and truly realize ubiquitous computing. However, for service providers to guarantee the S…
Power Line Communication and Sensing Using Time Series Forecasting
Yinjia Huo, Gautham Prasad, Lutz Lampe +1
Smart electrical grids rely on data communication to support their operation and on sensing for diagnostics and maintenance. Usually, the roles of communication and sensing equipme…