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Intelligent Energy-Efficient Resource Allocation for Multi-UAV-Assisted Mobile Edge Computing Networks
《China Communications》2025年第4期339-355,共17页Hu Han Shen Le Zhou Fuhui Wang Qun Zhu Hongbo 
supported by National Natural Science Foundation of China(No.62471254);National Natural Science Foundation of China(No.92367302)。
The unmanned aerial vehicle(UAV)-assisted mobile edge computing(MEC)has been deemed a promising solution for energy-constrained devices to run smart applications with computationintensive and latency-sensitive require...
关键词：dynamic trajectory optimization intelligent resource allocation unmanned aerial vehicle uav assisted uav assisted mec energy efficiency smart applications mobile edge computing mec deep reinforcement learning 
EPRFL:An Efficient Privacy-Preserving and Robust Federated Learning Scheme for Fog Computing
《China Communications》2025年第4期202-222,共21页Ke Zhijie Xie Yong Syed Hamad Shirazi Li Haifeng 
supported in part by the National Natural Science Foundation of China(62462053);the Science and Technology Foundation of Qinghai Province(2023-ZJ-731);the Open Project of the Qinghai Provincial Key Laboratory of Restoration Ecology in Cold Area(2023-KF-12);the Open Research Fund of Guangdong Key Laboratory of Blockchain Security,Guangzhou University。
Federated learning(FL)is a distributed machine learning paradigm that excels at preserving data privacy when using data from multiple parties.When combined with Fog Computing,FL offers enhanced capabilities for machin...
关键词：federated learning fog computing internet of things PRIVACY-PRESERVING ROBUSTNESS 
Robust Transmission Design for Federated Learning Through Over-the-Air Computation
《China Communications》2025年第3期65-75,共11页Hamideh Zamanpour Abyaneh Saba Asaad Amir Masoud Rabiei 
Over-the-air computation(AirComp)enables federated learning(FL)to rapidly aggregate local models at the central server using waveform superposition property of wireless channel.In this paper,a robust transmission sche...
关键词：federated learning imperfect CSI optimization over-the-air computing robust design 
Edge Coalition Construction Based on a Novel Market Equilibrium Price
《China Communications》2025年第3期288-305,共18页Wang Xiaolong Dang Jianwu Zhao Shuxu Wang Yangping Zhang Zhanping Hao Zhanjun 
supported by National Natural Science Foundation of China(No.6206020135);Key Research and Development Program of Gansu Province(No.20YF8GA123);Gansu Provincial Department of Education University Faculty Innovation Fund Project(No.2024B-059);Youth Science Fund Project of Lanzhou Jiaotong University(No.1200061307).
The emergence of multi-access edge computing(MEC)aims at extending cloud computing capabilities to the edge of the radio access network.As the large-scale internet of things(IoT)services are rapidly growing,a single e...
关键词：coalition formation computing resource block market equilibrium multi-access edge computing SURPLUS 
DDPG-Based Intelligent Computation Offloading and Resource Allocation for LEO Satellite Edge Computing Network
《China Communications》2025年第3期1-15,共15页Jia Min Wu Jian Zhang Liang Wang Xinyu Guo Qing 
supported by National Natural Science Foundation of China No.62231012;Natural Science Foundation for Outstanding Young Scholars of Heilongjiang Province under Grant YQ2020F001;Heilongjiang Province Postdoctoral General Foundation under Grant AUGA4110004923.
Low earth orbit(LEO)satellites with wide coverage can carry the mobile edge computing(MEC)servers with powerful computing capabilities to form the LEO satellite edge computing system,providing computing services for t...
关键词：computation offloading deep deterministic policy gradient low earth orbit satellite mobile edge computing resource allocation 
Providing Robust and Low-Cost Edge Computing in Smart Grid:An Energy Harvesting Based Task Scheduling and Resource Management Framework
《China Communications》2025年第2期226-240,共15页Xie Zhigang Song Xin Xu Siyang Cao Jing 
supported in part by the National Natural Science Foundation of China under Grant No.61473066;in part by the Natural Science Foundation of Hebei Province under Grant No.F2021501020;in part by the S&T Program of Qinhuangdao under Grant No.202401A195;in part by the Science Research Project of Hebei Education Department under Grant No.QN2025008;in part by the Innovation Capability Improvement Plan Project of Hebei Province under Grant No.22567637H
Recently,one of the main challenges facing the smart grid is insufficient computing resources and intermittent energy supply for various distributed components(such as monitoring systems for renewable energy power sta...
关键词：edge computing energy harvesting energy storage unit renewable energy sampling average approximation task scheduling 
Joint Task Allocation and Resource Optimization for Blockchain Enabled Collaborative Edge Computing
《China Communications》2024年第12期231-242,共12页Xu Wenjing Wang Wei Li Zuguang Wu Qihui Wang Xianbin 
This work was supported in part by the National Key R&D Program of China under Grant 2020YFB1005900;the National Natural Science Foundation of China under Grant 62001220;the Jiangsu Provincial Key Research and Development Program under Grants BE2022068;the Natural Science Foundation of Jiangsu Province under Grants BK20200440;the Future Network Scientific Research Fund Project FNSRFP-2021-YB-03;the Young Elite Scientist Sponsorship Program,China Association for Science and Technology.
Collaborative edge computing is a promising direction to handle the computation intensive tasks in B5G wireless networks.However,edge computing servers(ECSs)from different operators may not trust each other,and thus t...
关键词：blockchain collaborative edge comput-ing resource optimization task allocation 
Secure Computation Efficiency Resource Allocation for Massive MIMO-Enabled Mobile Edge Computing Networks
《China Communications》2024年第11期150-162,共13页Sun Gangcan Sun Jiwei Hao Wanming Zhu Zhengyu Ji Xiang Zhou Yiqing 
The Natural Science Foundation of Henan Province(No.232300421097);the Program for Science&Technology Innovation Talents in Universities of Henan Province(No.23HASTIT019,24HASTIT038);the China Postdoctoral Science Foundation(No.2023T160596,2023M733251);the Open Research Fund of National Mobile Communications Research Laboratory,Southeast University(No.2023D11);the Song Shan Laboratory Foundation(No.YYJC022022003)。
In this article,the secure computation efficiency(SCE)problem is studied in a massive multipleinput multiple-output(mMIMO)-assisted mobile edge computing(MEC)network.We first derive the secure transmission rate based ...
关键词：EAVESDROPPING massive multiple input multiple output mobile edge computing partial offloading secure computation efficiency 
A Double-Timescale Reinforcement Learning Based Cloud-Edge Collaborative Framework for Decomposable Intelligent Services in Industrial Internet of Things
《China Communications》2024年第10期181-199,共19页Zhang Qiuyang Wang Ying Wang Xue 
supported by the National Natural Science Foundation of China(No.62171051)。
With the proportion of intelligent services in the industrial internet of things(IIoT)rising rapidly,its data dependency and decomposability increase the difficulty of scheduling computing resources.In this paper,we p...
关键词：computing service edge intelligence industrial internet of things(IIoT) reinforcement learning(RL) 
Computing Power Network:A Survey被引量：6
《China Communications》2024年第9期109-145,共37页Sun Yukun Lei Bo Liu Junlin Huang Haonan Zhang Xing Peng Jing Wang Wenbo 
supported by the National Science Foundation of China under Grant 62271062 and 62071063;by the Zhijiang Laboratory Open Project Fund 2020LCOAB01。
With the rapid development of cloud computing,edge computing,and smart devices,computing power resources indicate a trend of ubiquitous deployment.The traditional network architecture cannot efficiently leverage these...
关键词：computing power modeling computing power network computing power scheduling information awareness network forwarding 
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