检索结果-南通市图书馆

China Communications 2022年第7期19卷 294-309页

作者： Xumin Huang Yupei Zhong Yuan Wu Peichun Li Rong Yu School of Automation Guangdong University of TechnologyGuangzhou 510006China The State Key Laboratory of Internet of Things for Smart City University of MacaoTaipaMacaoChina Department of Computer and Information Science University of MacaoTaipaMacaoChina

Platoon assisted vehicular edge computing has been envisioned as a promising paradigm of implementing offloading services through platoon *** a platoon,a vehicle could play as a requester that employs another vehicles as performers for workload *** incentive mechanism is necessitated to stimulate the performers and enable decentralized decision making,which avoids the information collection from the performers and preserves their *** model the interactions among the requester(leader)and multiple performers(followers)as a Stackelberg *** requester incentivizes the performers to accept the *** derive the Stackelberg equilibrium under complete ***,deep reinforcement learning is proposed to tackle the incentive problem while keeping the performers’information *** game player becomes an agent that learns the optimal strategy by referring to the historical strategies of the ***,numerical results are provided to demonstrate the effectiveness and efficiency of our scheme.

关键词： vehicular edge computing Stackelberg game deep reinforcement learning

Design and Implementation of Secure and Reliable Information Interaction Architecture for Digital Twins

在线全文

学校读者我要写书评

暂无评论

China Communications 2023年第2期20卷 79-93页

作者： Qian Wang Wanwan Wu Liping Qian Yiming Cai Jiang Qian Limin Meng College of Information Engineering Zhejiang University of TechnologyHangzhou 310023China

In order to improve the comprehensive defense capability of data security in digital twins(DTs),an information security interaction architecture is proposed in this paper to solve the inadequacy of data protection and transmission mechanism at ***,based on the advanced encryption standard(AES)encryption,we use the keystore to expand the traditional key,and use the digital pointer to avoid the key transmission in a wireless ***,the identity authentication technology is adopted to ensure the data integrity,and an automatic retransmission mechanism is added for the endogenous properties of the wireless ***,the software defined radio(SDR)platform composed of universal software radio peripheral(USRP)and GNU radio is used to simulate the data interaction between the physical entity and the virtual *** numerical results show that the DTs architecture can guarantee the encrypted data transmitted completely and decrypted accurately with high efficiency and reliability,thus providing a basis for intelligent and secure information interaction for DTs in the future.

关键词： digital twins AES encryption digital pointer identity authentication automatic retransmission SDR

Delay Minimization for Intelligent Reflecting Surface Assisted Federated Learning

在线全文

学校读者我要写书评

暂无评论

China Communications 2022年第4期19卷 216-229页

作者： Ning Huang Tianshun Wang Yuan Wu Suzhi Bi Liping Qian Bin Lin State Key Laboratory of Internet of Things for Smart City University of MacaoMacaoChina Department of Computer and Information Science University of MacaoMacaoChina Zhuhai-UM Science and Technology Research Institute Zhuhai 519031China College of Electronics and Information Engineering Shenzhen UniversityShenzhen 518060China College of Information Engineering Zhejiang University of TechnologyHangzhou 310014China Department of Communication Engineering Dalian Maritime UniversityDalian 116026China

Federated learning(FL), which allows multiple mobile devices to cooperatively train a machine learning model without sharing their data with the central server, has received widespread ***, the process of FL involves frequent communications between the server and mobile devices,which incurs a long latency. Intelligent reflecting surface(IRS) provides a promising technology to address this issue, thanks to its capacity to reconfigure the wireless propagation environment. In this paper, we exploit the advantage of IRS to reduce the latency of FL. Specifically, we formulate a latency minimization problem for the IRS assisted FL system, by optimizing the communication resource allocations including the devices’ transmit-powers, the uploading time, the downloading time, the multi-user decomposition matrix and the phase shift matrix of IRS. To solve this non-convex problem, we propose an efficient algorithm which is based on the Block Coordinate Descent(BCD) and the penalty difference of convex(DC) algorithm to compute the solution. Numerical results are provided to validate the efficiency of our proposed algorithm and demonstrate the benefit of deploying IRS for reducing the latency of FL. In particular, the results show that our algorithm can outperform the baseline of Majorization-Minimization(MM) algorithm with the fixed transmit-power by up to 30%.

关键词： federated learning intelligent reflecting surface latency minimization

Optimal dynamic spectrum allocation-assisted latency minimization for multiuser mobile edge computing

在线全文

学校读者我要写书评

暂无评论

Digital Communications and Networks 2022年第3期8卷 247-256页

作者： Yang Li Tianshun Wang Yuan Wu Weijia Jia State Key Laboratory of Internet of Things for Smart City University of MacaoTaipaMacaoChina Department of Computer and Information Science University of MacaoTaipaMacaoChina Zhuhai-UM Science and Technology Research Institute Zhuhai519031China BNU-UIC Institute of Artificial Intelligence and Future Networks Beijing Normal University(Zhuhai)Guangdong519087China

Mobile Edge Computing(MEC)has been envisioned as an efficient solution to provide computation-intensive yet latency-sensitive services for wireless *** this paper,we investigate the optimal dynamic spectrum allocation-assisted multiuser computation offloading in MEC for overall latency ***,we first focus on a static multiuser computation offloading scenario and jointly optimize users'offloading decisions,transmission durations,and Edge Servers'(ESs)resource *** to the nonconvexity of our joint optimization problem,we identify its layered structure and decompose it into two problems:a subproblem and a top *** the subproblem,we propose a bisection search-based algorithm to efficiently find the optimal users'offloading decisions and ESs’resource allocations under a given transmission ***,we use a linear search-based algorithm for solving the top problem to obtain the optimal transmission duration based on the result of the ***,after solving the static scenario,we consider a dynamic scenario of multiuser computation offloading with time-varying channels and *** efficiently address this dynamic scenario,we propose a deep reinforcement learning-based online algorithm to determine the near-optimal transmission duration in a real-time *** results are provided to validate our proposed algorithms for minimizing the overall latency in both static and dynamic offloading *** also demonstrate the advantages of our proposed algorithms compared to the conventional multiuser computation offloading schemes.

关键词： Multiuser mobile edge computing Dynamic bandwidth allocation Computation offloading Resource allocations