首页|Scenarios analysis and performance assessment of blockchain integrated in 6G scenarios

Scenarios analysis and performance assessment of blockchain integrated in 6G scenarios

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Emerging applications such as smart city infrastructures and virtual reality landscapes are set-ting rigorous benchmarks for 6G mobile networks,requiring elevated levels of confidentiality,integrity,non-repudiation,authentication,and stringent access controls.Blockchain technology is heralded as a transforma-tive enabler for meeting 6G standards,owing to its intrinsic attributes.However,a gap exists in the holistic investigation of blockchain's applicability in 6G realms,particularly addressing the"whether","when",and"how"of its deployment.Present research trails in developing robust methodologies to gauge blockchain's efficacy within 6G use cases.Addressing this,our study introduces a novel confluence of blockchain with 6G networks,where data resides in distributed Hash tables(DHTs)while their hashes are secured in distributed ledger technology(DLT),harnessing blockchain's core strengths-immutability,traceability,and fortified se-curity.We delineate seven specific 6G use cases poised for enhancement through blockchain integration,and scrutinize the rationale,nature,and timing of this convergence.Furthermore,we devise a comprehen-sive methodology for assessing blockchain's performance metrics and scalability in 6G environments.Our extensive experimental analyses evaluate the synergistic performance of this integration,revealing that the Quorum blockchain satisfactorily supports 80%of 6G scenarios.The findings suggest that,with appropriate configurations,consortium blockchains are well-equipped to fulfill the demanding performance and scalability requisites of 6G networks.

blockchaindistributed ledger technology(DLT)6Gperformance assessment6G scenarios analysistransaction arrival rate

Bo LI、Guanjie CHENG、Honghao GAO、Xueqiang YAN、Shuiguang DENG

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College of Computer Science and Technology,Zhejiang University,Hangzhou 310027,China

College of Computer Science and Technology,Shanghai University,Shanghai 200131,China

32012 Lab,Huawei Technologies Co.,Ltd.,Shenzhen 201206,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of China

U20A2017362125206

2024

中国科学:信息科学(英文版)
中国科学院

中国科学:信息科学(英文版)

CSTPCDEI
影响因子:0.715
ISSN:1674-733X
年,卷(期):2024.67(7)