Chinese Journal on Internet of Things ›› 2023, Vol. 7 ›› Issue (1): 60-72.doi: 10.11959/j.issn.2096-3750.2023.00322
• Theory and Technology • Previous Articles Next Articles
Xueqiang YAN1, Guanjie CHENG2, Shuiguang DENG2, Jianjun WU1, Lu LU3, Mingyu ZHAO1, Yan XI1, Chao LIU3, Weiyuan LI3, Lei FENG4, Tong ZHANG3
Revised:
2023-01-30
Online:
2023-03-30
Published:
2023-03-01
Supported by:
CLC Number:
Xueqiang YAN, Guanjie CHENG, Shuiguang DENG, Jianjun WU, Lu LU, Mingyu ZHAO, Yan XI, Chao LIU, Weiyuan LI, Lei FENG, Tong ZHANG. Data services and data plane for 6G mobile communication network[J]. Chinese Journal on Internet of Things, 2023, 7(1): 60-72.
"
概念 | 简称 |
跟踪采集实体 | TCE, trace collection entity |
网络功能 | NF, network function |
网元管理系统 | EMS, element management system |
操作管理和维护 | OAM, operation, administration and maintenance |
应用功能 | AF, application function |
接入网 | AN, access network |
核心网 | CN, core network |
传输网 | TN, transfer network |
网络开放功能 | NEF, network exposure function |
物联网 | IoT, internet of things |
"
基础特性 | NWDAF | MDT | SON | ETSI-ZSM | ETSI-PDL | IEEE-2144.1 |
部署模式 | 分层 | 中心化 | 分布式,中心 | 分层 | 分布式 | 中心化 |
化或者混合式 | ||||||
功能/优势 | 通过 5GC 中的网络 | 网络规划与优化 | 网络性能和用 | 自动化网络和 | 联邦数据采集、 | 可信 IoT 管理和数据 |
数据分析驱动网络 | 户体验优化 | 服务管理 | 数据共享和计算 | 服务 | ||
自动化和服务编排 | ||||||
数据采集 | 从数据源汇聚数据 | UE、RAN 节点 | UE、RAN | E2E数据采集 | IoT设备采集 | 可信感知,数据生成 |
采集数据 | 节点采集数据 | 和采集 | ||||
数据源 | 5GC NF, OAM, AF | UE | EMS | 基础设施资源 | 拥有IoT设备的不 | IoT设备 |
和网络服务 | 同组织 | |||||
服务开放 | 通过NEF | 不支持 | 不支持 | 通过集成总线 | 不支持 | 通过数据API |
可信(安全、隐私) | 需要用户许可 | 需要用户许可 | 不支持 | 不支持 | 基于分布式账本 | 基于区块链 |
网络状况(道路拥挤 | 覆盖优化、移动 | 自配置、自优 | E2E 网络和服 | 智慧城市;智慧 | 所有IoT应用 | |
用例 | 和预警信息等)和设 | 性优化、容量优 | 化、自愈、自 | 务管理;集成 | 医疗;智慧交通 | |
备行为(UE 移动性 | 化、公共信道参 | 保护、自学习 | 和互操作; | |||
等)监测 | 数化、QoS验证 | 安全和追溯 | ||||
领域 | 5GC | RAN | RAN | OAM | UE, AN, CN, TN | IoT和无线网络 |
标准组织 | 3GPP | 3GPP | 3GPP | ETSI | ETSI | IEEE |
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0~4 5~8 | 9~12 13~16 | 17~20 21~24 | 25~28 29~32 |
协议类型(1) | Header length | DS ID | |
DP ID | 路由跳数 | routetype1(0) next da id1 | |
next da id1-cont | routetype2(1) | 下一跳DA个数 | next da id2 |
next da id2-cont | next da id3 | routetype3(0) next da id4 | |
next da id4-cont | routetype4(0) | next da id5 | |
Sequence Number(1stoctet) | Sequence Number(2ndoctet) | Sequence Number (3rdoctet) | Payload length |
Payload length-cont Payload | |||
Payload | |||
Payload |
[1] | SIRIWARDHANA Y , PORAMBAGE P , LIYANAGE M ,et al. A survey on mobile augmented reality with 5G mobile edge computing:architectures,applications,and technical aspects[J]. IEEE Communications Surveys & Tutorials, 2021,23(2): 1160-1192. |
[2] | YUAN L , HE Q , TAN S Y ,et al. CoopEdge:a decentralized blockchain-based platform for cooperative edge computing[C]// Proceedings of WWW’21:Proceedings of the Web Conference 2021. 2021: 2245-2257. |
[3] | ZHANG L H , et al . Deep reinforcement learning based IRS-assisted mobile edge computing under physical-layer security[J]. Physical Communication, 2022(55): 101896. |
[4] | SHUVO M M H . Edge AI:leveraging the full potential of deep learning[M]. Recent Innovations in Artificial Intelligence and Smart Applications. Springer,Cham, 2022: 27-46. |
[5] | DING A Y , PELTONEN E , MEUSER T ,et al. Roadmap for edge AI[J]. ACM SIGCOMM Computer Communication Review, 2022,52(1): 28-33. |
[6] | TANG F X , CHEN X H , RODRIGUES T K ,et al. Survey on digital twin edge networks (DITEN) toward 6G[J]. IEEE Open Journal of the Communications Society, 2022(3): 1360-1381. |
[7] | DUONG T Q , VAN HUYNH D , LI Y J ,et al. Digital twin-enabled 6G aerial edge computing with ultra-reliable and low-latency communications:(invited paper)[C]// Proceedings of 2022 1st International Conference on 6G Networking (6GNet). Piscataway:IEEE Press, 2022: 1-5. |
[8] | OZDOGAN M O , CARKACIOGLU L , CANBERK B . Digital twin driven blockchain based reliable and efficient 6G edge network[C]// Proceedings of 2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS). Piscataway:IEEE Press, 2022: 342-348. |
[9] | KHAN L U , SAAD W , NIYATO D ,et al. Digital-twin-enabled 6G:vision,architectural trends,and future directions[J]. IEEE Communications Magazine, 2022,60(1): 74-80. |
[10] | TONG W , LI G Y . Nine challenges in artificial intelligence and wireless communications for 6G[J]. IEEE Wireless Communications, 2022,29(4): 140-145. |
[11] | 张海君, 陈安琪, 李亚博 ,等. 6G移动网络关键技术[J]. 通信学报, 2022,43(7): 189-202. |
ZHANG H J , CHEN A Q , LI Y B ,et al. Key technologies of 6G mobile network[J]. Journal on Communications, 2022,43(7): 189-202. | |
[12] | SHEN X S , HUANG C , LIU D X ,et al. Data management for future wireless networks:architecture,privacy preservation,and regulation[J]. IEEE Network, 2021,35(1): 8-15. |
[13] | KRISHNARAJ N , BELLAM K , SIVAKUMAR B ,et al. The future of cloud computing:blockchain-based decentralized cloud/fog solutions– challenges,opportunities,and standards[J]. Blockchain Security in Cloud Computing, 2022: 207-226. |
[14] | KHATIWADA P , YANG B . An access control and authentication scheme for secure data sharing in the decentralized cloud storage system[C]// Proceedings of 2022 5th Conference on Cloud and Internet of Things (CIoT). Piscataway:IEEE Press, 2022: 137-144. |
[15] | HOU X W , WANG J J , FANG Z R ,et al. Edge intelligence for mission-critical 6G services in space-air-ground integrated networks[J]. IEEE Network, 2022,36(2): 181-189. |
[16] | ZUO Z Y , LIU C J , HAN Q L ,et al. Unmanned aerial vehicles:control methods and future challenges[J]. IEEE/CAA Journal of Automatica Sinica, 2022,9(4): 601-614. |
[17] | AWOTUNDE J B , CHAKRABORTY C , FOLORUNSO S O . A secured smart healthcare monitoring systems using blockchain technology[M]. Intelligent Internet of Things for Healthcare and Industry. Springer,Cham, 2022: 127-143. |
[18] | LI Q R , HE D B , YANG Z C ,et al. Lattice-based conditional privacy-preserving authentication protocol for the vehicular ad hoc network[J]. IEEE Transactions on Vehicular Technology, 2022,71(4): 4336-4347. |
[19] | CHOENNI S , BARGH M S , BUSKER T ,et al. Data governance in smart cities:challenges and solution directions[J]. Journal of Smart Cities and Society, 2022(Preprint): 1-21. |
[20] | LIU S Y , VICENTE L N . Accuracy and fairness trade-offs in machine learning:a stochastic multi-objective approach[J]. Computational Management Science, 2022,19(3): 513-537. |
[21] | MAHMOOD Y , KAMA N , AZMI A ,et al. Software effort estimation accuracy prediction of machine learning techniques:a systematic performance evaluation[J]. Software:Practice and Experience, 2022,52(1): 39-65. |
[22] | KAVZOGLU T , TEKE A . Predictive performances of ensemble machine learning algorithms in landslide susceptibility mapping using random forest,extreme gradient boosting (XGBoost) and natural gradient boosting (NGBoost)[J]. Arabian Journal for Science and Engineering, 2022,47(6): 7367-7385. |
[23] | 3GPP. 5G; 5G system; network data analytics services:3GPP TS 29.520 (v15.3.0)[S]. 2019. |
[24] | 3GPP. Universal mobile telecommunications system (UMTS); LTE;universal terrestrial radio access (UTRA) and evolved universal terrestrial radio access (E-UTRA); radio measurement collection for minimization of drive tests (MDT); overall description:3GPP TS 37.320 (v12.2.0)[S]. 2014. |
[25] | 3GPP. 5G; self-organizing networks (SON) for 5G networks:3GPP TS 28.313 (v16.0.0)[S]. 2020. |
[26] | LIYANAGE M , et al . A survey on zero touch network and servicemanagement (ZSM) for 5G and beyond networks[J]. Journal of Network and Computer Applications, 2022(203): 103362.. |
[27] | ETSI. Permissioned distributed ledger (PDL); applicability and compliance to data processing requirements:ETSI GR PDL 002 (v0.0.6)[S]. 2020. |
[28] | WIJETHILAKA S , LIYANAGE M . Survey on network slicing for internet of things realization in 5G networks[J]. IEEE Communications Surveys & Tutorials, 2021,23(2): 957-994. |
[29] | TSAI C C , LIN F J , TANAKA H . Evaluation of 5G core slicing on user plane function[J]. Communications and Network, 2021,13(3): 79-92. |
[30] | ETTIANE R , et al . Toward securing the control plane of 5G mobile networks against DoS threats:attack scenarios and promising solutions[J]. Journal of Information Security and Applications, 2021(61):102943. |
[31] | PAOLUCCI F , CUGINI F , CASTOLDI P ,et al. Enhancing 5G SDN/NFV edge with P4 data plane programmability[J]. IEEE Network, 2021,35(3): 154-160. |
[32] | 3GPP. 5G; NR; overall description; stage-2:3GPP TS 38.300 (v15.8.0 Release 15)[S]. 2020. |
[33] | ALEVIZAKI V M , MANOLOPOULOS A I , ANASTASOPOULOS M ,et al. Dynamic user plane function allocation in 5G networks enabled by optical network nodes[C]// Proceedings of 2021 European Conference on Optical Communication (ECOC). Piscataway:IEEE Press, 2021: 1-4. |
[34] | 童文 . 6G无线通信新征程:跨越人联、物联,迈向万物智联[M]. 北京: 机械工业出版社, 2021. |
TONG W . 6G The Next Horizon:From Connected People and Things to Connected Intelligence[M]. Beijing: China Machine Press, 2021. | |
[35] | 6GANA. 6G数据服务概念与需求白皮书[R]. 2022. |
6GANA. 6G data service concepts and requirements white paper[R]. 2022. | |
[36] | LIANG W X , TADESSE G A , HO D ,et al. Advances,challenges and opportunities in creating data for trustworthy AI[J]. Nature Machine Intelligence, 2022,4(8): 669-677. |
[37] | QIAO L , LI Y , CHEN D . A survey on 5G/6G,AI,and robotics[J]. Computers and Electrical Engineering, 2021(95):107372. |
[38] | KHOWAJA S A , DEV K , QURESHI N M F ,et al. Toward industrial private AI:atwo-tier framework for data and model security[J]. IEEE Wireless Communications, 2022,29(2): 76-83. |
[39] | ALOQAILY M , RIDHAWI I A , SALAMEH H B ,et al. Data and service management in densely crowded environments:challenges,opportunities,and recent developments[J]. IEEE Communications Magazine, 2019,57(4): 81-87. |
[40] | WHITE T , BLOK E , CALHOUN V D . Data sharing and privacy issues in neuroimaging research:opportunities,obstacles,challenges,and monsters under the bed[J]. Human Brain Mapping, 2022,43(1): 278-291. |
[41] | FENG C S , YU K P , BASHIR A K ,et al. Efficient and secure data sharing for 5G flying drones:a blockchain-enabled approach[J]. IEEE Network, 2021,35(1): 130-137. |
[42] | PEUKERT C , BECHTOLD S , BATIKAS M ,et al. Regulatory spillovers and data governance:evidence from the GDPR[J]. Marketing Science, 2022,41(4): 746-768. |
[43] | JERNITE Y , NGUYEN H , BIDERMAN S ,et al. Data governance in the age of large-scale data-driven language technology[C]// Proceedings of FAccT ’22:2022 ACM Conference on Fairness,Accountability,and Transparency. 2022: 2206-2222. |
[44] | HAN C C , CHENCHEN HAN G J K , GWANG-JUN KIM O A ,et al. ZT-BDS:asecure blockchain-based zero-trust data storage scheme in 6G edge IoT[J]. Journal of Internet Technology, 2022,23(2): 289-295. |
[45] | ABDEL HAKEEM S A , HUSSEIN H H , KIM H . Security requirements and challenges of 6G technologies and applications[J]. Sensors (Basel,Switzerland), 2022,22(5): 1969. |
[46] | LV Z H , SINGH A K , LI J H . Deep learning for security problems in 5G heterogeneous networks[J]. IEEE Network, 2021,35(2): 67-73. |
[47] | PRADHAN D , SAHU P K , GOJE S ,et al. Security,privacy,risk,and safety toward 5G green network (5G-GN)[J]. Cyber Security and Network Security, 2022: 193-216. |
[48] | YUNUS W , LASULIKA M E . Security system analysis against flood attacks using TCP,UDP,and ICMP protocols on mikrotik routers[J]. International Journal of Advances in Data and Information Systems, 2022,3(1): 11-19. |
[49] | JYOTHEESWARI P , JEYANTHI N . Secure data transmission for protecting the users' privacy in medical Internet of Things[J]. International Journal of Advanced Intelligence Paradigms, 2022,23(1/2): 171. |
[50] | KHOT P S , NAIK U L . Cellular automata-based optimised routing for secure data transmission in wireless sensor networks[J]. Journal of Experimental & Theoretical Artificial Intelligence, 2022,34(3): 431-449. |
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