首页期刊导航|中兴通讯技术(英文版)
期刊信息/Journal information
中兴通讯技术(英文版)
中兴通讯技术(英文版)

谢大雄

季刊

1673-5188

magazine@zte.com.cn

0551-5533356

230061

合肥市金寨路329号凯旋大厦1201室

中兴通讯技术(英文版)/Journal ZTE Communications
查看更多>>ZTE Communications is a quarterly publication, edited, published and distributed by the Corporate Branding and Communications Department of ZTE Corporation. The magazine focuses on hot telecom topics and front-line telecom technologies, with the sections of “Special Topic”, “Operational Application”, “Research Paper”, “Development Field” and “Lecture Series”. It is a worthwhile magazine for telecom operators and partners of ZTE Corporation alike. The magazine is mainly distributed to telecom operators, science and technology research institutes, relevant government departments, and colleges and universities.
正式出版
收录年代

    Special Topic on Advancements in Web3 Infrastructure for the Metaverse

    Victor C.M.LEUNGCAI Wei
    1-2页

    Building a Stronger Foundation for Web3:Advantages of 5G Infrastructure

    FENG JianxinPAN YiWU Xiao
    3-10页
    查看更多>>摘要:The emergence of Web3 technologies promises to revolutionize the Internet and redefine our interactions with digital assets and ap-plications.This essay explores the pivotal role of 5G infrastructure in bolstering the growth and potential of Web3.By focusing on several cru-cial aspects—network speed,edge computing,network capacity,security and power consumption—we shed light on how 5G technology offers a robust and transformative foundation for the decentralized future of the Internet.Prior to delving into the specifics,we undertake a technical review of the historical progression and development of Internet and telecommunication technologies.

    MetaOracle:A High-Throughput Decentralized Oracle for Web 3.0-Empowered Metaverse

    CHEN RuiLI HuiLI WuyangBAI He...
    11-18页
    查看更多>>摘要:Recent rapid advancements in communication technology have brought forth the era of Web 3.0,representing a substantial trans-formation in the Internet landscape.This shift has led to the emergence of various decentralized metaverse applications that leverage block-chain as their underlying technology to enable users to exchange value directly from point to point.However,blockchains are blind to the real world,and smart contracts cannot directly access data from the external world.To address this limitation,the technology of oracles has been introduced to provide real-world data for smart contracts and other blockchain applications.In this paper,we focus on mitigating the risks as-sociated with oracles providing corrupt or incorrect data.We propose a novel Web 3.0 architecture for the Metaverse based on the multi-identifier network(MIN),and its decentralized blockchain oracle model called MetaOracle.The experimental results show that the proposed scheme can achieve minor time investment in return for significantly more reliable data and increased throughput.

    Optimization of High-Concurrency Conflict Issues in Execute-Order-Validate Blockchain

    MA QianliZHANG ShengliWANG TaotaoYANG Qing...
    19-29页
    查看更多>>摘要:With the maturation and advancement of blockchain technology,a novel execute-order-validate(EOV)architecture has been pro-posed,allowing transactions to be executed in parallel during the execution phase.However,parallel execution may lead to multi-version con-currency control(MVCC)conflicts during the validation phase,resulting in transaction invalidation.Based on different causes,we categorize conflicts in the EOV blockchain into two types:within-block conflicts and cross-block conflicts,and propose an optimization solution called FabricMan based on Fabric v2.4.For within-block conflicts,a reordering algorithm is designed to improve the transaction success rate and parallel validation is implemented based on the transaction conflict graph.We also merge transfer transactions to prevent triggering multiple version checks.For cross-block conflicts,a cache-based version validation mechanism is implemented to detect and terminate invalid trans-actions in advance.Experimental comparisons are conducted between FabricMan and two other systems,Fabric and Fabric++.The results show that FabricMan outperforms the other two systems in terms of throughput,transaction abort rate,algorithm execution time,and other ex-perimental metrics.

    Utilizing Certificateless Cryptography for IoT Device Identity Authentication Protocols in Web3

    WU ZhihuiHONG YuxuanZHOU EnyuanLIU Lei...
    30-38页
    查看更多>>摘要:Traditional methods of identity authentication often rely on centralized architectures,which poses risks of computational overload and single points of failure.We propose a protocol that offers a decentralized approach by distributing authentication services to edge authen-tication gateways and servers,facilitated by blockchain technology,thus aligning with the decentralized ethos of Web3 infrastructure.Addi-tionally,we enhance device security against physical and cloning attacks by integrating physical unclonable functions with certificateless cryptography,bolstering the integrity of Internet of Thins(IoT)devices within the evolving landscape of the metaverse.To achieve dynamic anonymity and ensure privacy within Web3 environments,we employ fuzzy extractor technology,allowing for updates to pseudonymous iden-tity identifiers while maintaining key consistency.The proposed protocol ensures continuous and secure identity authentication for IoT de-vices in practical applications,effectively addressing the pressing security concerns inherent in IoT network environments and contributing to the development of robust security infrastructure essential for the proliferation of IoT devices across diverse settings.

    Hierarchical Federated Learning Architectures for the Metaverse

    GU ChengLI Baochun
    39-48页
    查看更多>>摘要:In the context of edge computing environments in general and the metaverse in particular,federated learning(FL)has emerged as a distributed machine learning paradigm that allows multiple users to collaborate on training a shared machine learning model locally,eliminating the need for uploading raw data to a central server.It is perhaps the only training paradigm that preserves the privacy of user data,which is essential for computing environments as personal as the metaverse.However,the original FL architecture proposed is not scalable to a large number of user devices in the metaverse community.To mitigate this problem,hierarchical federated learning(HFL)has been introduced as a general distributed learning paradigm,inspiring a number of research works.In this paper,we present several types of HFL architectures,with a special focus on the three-layer client-edge-cloud HFL architecture,which is most pertinent to the metaverse due to its delay-sensitive nature.We also examine works that take advantage of the natural layered organization of three-layer client-edge-cloud HFL to tackle some of the most challenging problems in FL within the metaverse.Finally,we outline some future re-search directions of HFL in the metaverse.

    Learned Distributed Query Optimizer:Architecture and Challenges

    GAO JunHAN YinjunLIN YangMIAO Hao...
    49-54页
    查看更多>>摘要:The query processing in distributed database management systems(DBMS)faces more challenges,such as more operators,and more factors in cost models and meta-data,than that in a single-node DMBS,in which query optimization is already an NP-hard problem.Learned query optimizers(mainly in the single-node DBMS)receive attention due to its capability to capture data distributions and flexible ways to avoid hard-craft rules in refinement and adaptation to new hardware.In this paper,we focus on extensions of learned query optimizers to distributed DBMSs.Specifically,we propose one possible but general architecture of the learned query optimizer in the distributed context and highlight differences from the learned optimizer in the single-node ones.In addition,we discuss the challenges and possible solutions.

    Review on Service Curves of Typical Scheduling Algorithms

    GAO YuehongNING ZhiHE JiaZHOU Jinfei...
    55-70页
    查看更多>>摘要:In recent years,various internet architectures,such as Integrated Services(IntServ),Differentiated Services(DiffServ),Time Sensi-tive Networking(TSN)and Deterministic Networking(DetNet),have been proposed to meet the quality-of-service(QoS)requirements of differ-ent network services.Concurrently,network calculus has found widespread application in network modeling and QoS analysis.Network calcu-lus abstracts the details of how nodes or networks process data packets using the concept of service curves.This paper summarizes the service curves for typical scheduling algorithms,including Strict Priority(SP),Round Robin(RR),Cycling Queuing and Forwarding(CQF),Time Aware Shaper(TAS),Credit Based Shaper(CBS),and Asynchronous Traffic Shaper(ATS).It introduces the theory of network calculus and then provides an overview of various scheduling algorithms and their associated service curves.The delay bound analysis for different sched-uling algorithms in specific scenarios is also conducted for more insights.

    Deadlock Detection:Background,Techniques,and Future Improvements

    LU JiachenNIU ZhiCHEN LiDONG Luming...
    71-79页
    查看更多>>摘要:Deadlock detection is an essential aspect of concurrency control in parallel and distributed systems,as it ensures the efficient utili-zation of resources and prevents indefinite delays.This paper presents a comprehensive analysis of the various deadlock detection techniques,including static and dynamic approaches.We discuss the future improvements associated with deadlock detection and provide a comparative evaluation of these techniques in terms of their accuracy,complexity,and scalability.Furthermore,we outline potential future research direc-tions to improve deadlock detection mechanisms and enhance system performance.

    A Distributed Acoustic Sensing System for Vibration Detection and Classification in Railways

    ZHU SonglinWANG ZhongyiXIE YunpengSUN Zhi...
    80-84页
    查看更多>>摘要:A distributed acoustic sensing(DAS)system is proposed and a data processing method for vibration is designed in this paper.The proposed DAS system is based on the Rayleigh scattering signal and utilizes phase-sensitive optical time-domain reflectometry(ϕ-OTDR)to demodulate the environmental vibration.It can collect the vibration information in railways and implement vibration classification based on the feature of sensed vibration signals.This system has been deployed in Guangzhou Shenzhen High-Speed Railway,and the experimental re-sults validate its effectiveness.