区块链赋能6G

代玥玥; 张科; 张彦

doi:10.11959/j.issn.2096-3750.2020.00154

您当前的位置：

首页 >

文章列表页 >

区块链赋能6G

专题：物联网与6G | 更新时间：2024-06-05

- 区块链赋能6G
- Blockchain empowered 6G
- 物联网学报 2020年4卷第1期页码：111-120
- 作者机构：
  
  1. 电子科技大学信息与通信工程学院，四川成都 611731
  2. 挪威奥斯陆大学，挪威奥斯陆 0316
- 作者简介：
  
  [ "代玥玥，电子科技大学博士，主要研究方向为区块链和移动边缘计算" ]
  [ "张科，博士，电子科技大学讲师，主要研究方向为物联网、车联边缘计算与存储" ]
  [ "张彦，挪威奥斯陆大学教授，IEEE Fellow，挪威工程院院士，全球“高被引科学家”，主要研究方向为物联网、区块链和边缘智能网络" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-3750.2020.00154
  中图分类号： TP393
- 纸质出版日期：2020-03-30，
  
  网络出版日期：2020-03，
- 稿件说明：
移动端阅览
代玥玥, 张科, 张彦. 区块链赋能6G[J]. 物联网学报, 2020,4(1):111-120.

YUEYUE DAI, KE ZHANG, YAN ZHANG. Blockchain empowered 6G. [J]. Chinese journal on internet of things, 2020, 4(1): 111-120.
代玥玥, 张科, 张彦. 区块链赋能6G[J]. 物联网学报, 2020,4(1):111-120. DOI： 10.11959/j.issn.2096-3750.2020.00154.

YUEYUE DAI, KE ZHANG, YAN ZHANG. Blockchain empowered 6G. [J]. Chinese journal on internet of things, 2020, 4(1): 111-120. DOI： 10.11959/j.issn.2096-3750.2020.00154.

摘要

6G 网络在探索更高通信速率的同时，将结合云计算、边缘计算、人工智能、大数据等新兴技术，以全新的网络架构实现跨网跨域间更广泛的互联互通，为工业物联网、智慧城市和智能交通提供智能、安全、高效的技术支持。区块链技术作为一种去中心化、公开透明的分布式账本技术，将为6G提供强有力的安全保障。针对区块链技术与6G的融合展开了研究，首先给出了5G网络与6G网络的区别以及6G网络所面临的挑战，并对区块链技术在频谱管理、移动边缘计算与D2D通信方面的研究现状进行了总结。然后对区块链与6G新兴技术的融合进行了探索，分别提出了区块链与云边端协同、区块链与联邦学习、基于区块链的资源交易以及针对边缘网络的轻量级区块链所面临的技术挑战，并给出了对应的解决方案。

Abstract

6G network not only explore higher communication rates but also combine with the emerging technologies such as cloud computing

edge computing

artificial intelligence

and big data

and use a new network architecture to achieve wider interconnection and interoperability across network and domains

and provide an intelligent

safe and efficient technical support for industrial Internet of things

smart cities

and intelligent transportation.Blockchain technology as a decentralized

open and transparent distributed ledger technology can provide strong security for 6G.The integration of blockchain technology and 6G network was studied.Firstly

the difference between 5G and 6G network and the challenges of 6G faced were given

and the research of blockchain technology in spectrum management

mobile edge computing and D2D communication was reviewed.Then

the integration of blockchain technology and 6G emerging network was explored.Thus

the technical challenges in terms of blockchain and the cloud-edge-device network

blockchain and federal learning

blockchain-based resource transactions

and lightweight blockchain for edge network were presented.The corresponding solutions were also given.

关键词

区块链6G数据共享资源分配

Keywords

blockchain6Gdata sharingresource allocation

references

LATVA-AHO M, LEPPANEN K . Key drivers and research challenges for 6G ubiquitous wireless intelligence[M]. Oulu: Oulun YliopistoPress, 2019.

DAI Y Y, XU D, MAHARJAN S ,et al. Blockchain and deep reinforcement learning empowered intelligent 5G beyond[J]. IEEE Network, 2019,33(3): 10-17.

中共中央网络安全和信息化委员会. 把区块链作为核心技术自主创新重要突破口[R]. 2019.

The Central Cyberspace Affairs Commission. Take blockchain as an important breakthrough for independent innovation of core technology[R]. 2019.

JOHN E . FCC’s rosenworcel talks up 6G[S]. 2018.

DAI H N, ZHENG Z B, ZHANG Y . Blockchain for Internet of things:a survey[J]. IEEE Internet of Things Journal, 2019,6(5): 8076-8094.

DAI Y Y, XU D, MAHARJAN S ,et al. Articial intelligence empowered edge computing and caching for Internet of vehicles[J]. IEEE Wireless Communications, 2019,26(3): 12-18.

SAAD W, BENNIS M, CHEN M . A vision of 6G wireless systems:applications,trends,technologies,and open research problems[J]. arXiv:1902.10265, 2019

KOTOBI K, BILEN S G . Secure blockchains for dynamic spectrum access:a decentralized database in moving cognitive radio networks enhances security and user access[J]. IEEE Vehicular Technology Magazine, 2018,13(1): 32-39.

QIU J, GRACE D, DING G ,et al. Blockchain-based secure spectrum trading for unmanned-aerial-vehicle-assisted cellular networks:an operator’s perspective[J]. IEEE Internet of Things Journal, 2020,7(1): 451-466.

BAYHAN S, ZUBOW A,GAWŁOWICZ P ,et al. Smart contracts for spectrum sensing as a service[J]. IEEE Transactions on Cognitive Communications and Networking, 2019,5(3): 648-660.

GAI K K, WU Y L, ZHU L H ,et al. Blockchain for secure and efficient data sharing in vehicular edge computing and networks[J]. 2019,3(6): 4660-4670.

KANG J W, YU R, HUANG X M ,et al. Blockchain for secure and efficient data sharing in vehicular edge computing and networks IEEE Internet of things journal[J]. IEEE Internet of Things Journal, 2019,6(3): 4660-4670.

XIONG Z H, ZHANG Y, NIYATO D ,et al. When mobile blockchain meets edge computing[J]. IEEE Communications Magazine, 2018,56(8): 33-39.

CHEN W H, ZHANG Z, HONG Z C ,et al. Cooperative and distributed computation offloading for blockchain-empowered industrial Internet of things[J]. IEEE Internet of Things Journal, 2019,6(5): 8433-8446.

LIU Y M, YU R F, LI X ,et al. Decentralized resource allocation for video transcoding and delivery in blockchain-based system with mobile edge computing[J]. IEEE Transactions on Vehicular Technology, 2019,68(11): 11169-11185.

ZHANG K, ZHU Y X, MAHARJAN S ,et al. Edge intelligence and blockchain empowered 5G beyond for the industrial Internet of things[J]. IEEE Network, 2019,33(5): 12-19.

JIANG L, XIE S L, MAHARJAN S ,et al. Joint transaction relaying and block verification optimization for blockchain empowered D2D communication[J]. IEEE Transactions on Vehicular Technology, 2020,69(1): 828-841.

LIU M T, YU F R, TENG Y L ,et al. Distributed resource allocation in blockchain-based video streaming systems with mobile edge computing[J]. IEEE Transactions on Wireless Communications, 2018,18(1): 695-708.

DAI Y Y, XU D, MAHARJAN S ,et al. Joint computation offloading and user association in multi-task mobile edge computing[J]. IEEE Transactions on Vehicular Technology, 2018,67(12): 12313-12325.

DAI Y Y, XU D, MAHARJAN S ,et al. Joint load balancing and ofoading in vehicular edge computing and networks[J]. IEEE Internet of Things Journal, 2019,6(3): 4377-4387.

LU Y L, HUANG X H, DAI Y Y ,et al. Differentially private asynchronous federated learning for mobile edge computing in urban informatics[J]. IEEE Transactions on Industrial Informatics, 2020,16(3): 2134-2143.

LU Y L, HUANG X H, DAI Y Y ,et al. Blockchain and federated learning for privacy-preserved data sharing in industrial IoT[J]. IEEE Transactions on Industrial Informatics, 2019

DAI Y Y, XU D, ZHANG K ,et al. Permissioned blockchain and deep reinforcement learning for content caching in vehicular edge computing and networks[C]// 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2019: 1-6.

浏览量

1617

下载量

CSCD

文章被引用时，请邮件提醒。

提交

工具集

关联资源

面向无人机集群的感知与控制闭环调度策略

CR-RSMA网络接入控制策略研究

联邦边缘智能网络碳排放评估及优化

一种应用于边缘计算的区块链分片方案

移动边缘计算中基于资源联合分配的部分计算卸载方法