IEEE Communications Standards Magazine最新文献_第6页

Distributed Computation Offloading with Low Latency for Artificial Intelligence in Vehicular Networking 车联网人工智能低延迟分布式计算卸载

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/MCOMSTD.0003.2100100

Dengzhi Liu, Fan Sun, Weizheng Wang, K. Dev

{"title":"Distributed Computation Offloading with Low Latency for Artificial Intelligence in Vehicular Networking","authors":"Dengzhi Liu, Fan Sun, Weizheng Wang, K. Dev","doi":"10.1109/MCOMSTD.0003.2100100","DOIUrl":"https://doi.org/10.1109/MCOMSTD.0003.2100100","url":null,"abstract":"Vehicular networking is a communication platform that integrates the computing power of vehicles, roadside units, and infrastructures, which is capable of offering services to terminals characterized by low latency, high bandwidth, and reliability. Artificial intelligence (AI) has been developed rapidly over the past few years, and numerous AI applications requiring high computing power in vehicular networking have emerged (e.g., automatic driving, collision avoidance, and trajectory prediction). However, the computation of the AI model requires high computing power, and the vehicles on the road have low computation capability, which significantly hinder the development of intelligent transportation based on AI in vehicular networking. In this article, a distributed computatin offloading scheme is developed, which can be used to outsource the tasks of the AI model computation to nearby vehicles and roadside units in vehicular networking. To reduce the computational burden and decrease the latency of the computation on the vehicle side, the optimized genetic algorithm is adopted to divide the computation of the sigmoid function into multiple sub-tasks. Moreover, secure multi-party computation and homomorphic encryption are applied in the sub-task computation to enhance the security of the AI model computation in vehicular networking. As indicated by the security analysis, the proposed scheme can be proved to support privacy preservation in the multi-party computation of the AI model. As revealed by the simulation results, the proposed scheme can be performed with low computational time with different lengths of keys and transmitted parameters in practice.","PeriodicalId":36719,"journal":{"name":"IEEE Communications Standards Magazine","volume":"7 1","pages":"74-80"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42822473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Sidelink Evolution Toward 5G-A/6G Future Considerations for Standardization of Group Communications 面向5G-A/6G的侧链演进——群组通信标准化的未来考虑

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/MCOMSTD.0003.2200050

Rudraksh Shrivastava, Sudeep Hegde, O. Blume

引用次数: 4

Multipath QUIC for Access Traffic Steering Switching and Splitting in 5G Advanced 用于5G高级中接入业务指导切换和拆分的多路QUIC

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/MCOMSTD.0006.2200056

A. Salkintzis, M. Kühlewind, S. Rommer, Rainer Liebhart

引用次数: 1

ComSoc Training ComSoc培训

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/mcomstd.2023.10078084

引用次数: 0

Federated Learning Encounters 6G Wireless Communication in the Scenario of Internet of Things 联邦学习在物联网场景下遇到6G无线通信

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/MCOMSTD.0005.2200044

Jiaming Pei, Shike Li, Zhi-fu Yu, Laishan Ho, Wenxuan Liu, Lukun Wang

{"title":"Federated Learning Encounters 6G Wireless Communication in the Scenario of Internet of Things","authors":"Jiaming Pei, Shike Li, Zhi-fu Yu, Laishan Ho, Wenxuan Liu, Lukun Wang","doi":"10.1109/MCOMSTD.0005.2200044","DOIUrl":"https://doi.org/10.1109/MCOMSTD.0005.2200044","url":null,"abstract":"The ultimate goal of Internet of Things (IoT) technology is to evolve into the Internet of Everything. Two key elements of IoT are artificial intelligence (AI) for smart devices and the Internet for communication. Privacy protection has posed as a critical challenge for the next intelligent IoT technology revolution as the rapid development of communication technology and big data. Federated learning (FL) combines the privacy protection with machine data analytic and it balances the needs of huge volume data for AI and privacy protection, which also makes it as a leading position in the field of machine learning. However, the way of communication that adopted in federated learning resulted in several critical challenges, such as limited bandwidth, data security, and inconsistent internet speed. In this article, we introduce a super-wireless-over-the-air federated learning framework based on 6G technology to address these issues. By training private data in wireless communication with interference-resistant solid radio waves, future security, and ultra-high-performance AI technology can be realized, which could drive the development of IoT to be smarter, wider, and faster.","PeriodicalId":36719,"journal":{"name":"IEEE Communications Standards Magazine","volume":"7 1","pages":"94-100"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48550717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Device-to-device Communications at the Terahertz Band: Open Challenges for Realistic Implementation 太赫兹波段的设备到设备通信：现实实施面临的开放挑战

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/MCOMSTD.0001.2100077

Zhaona Wu, K. Umebayashi, Janne J. Lehtomäki, N. Zorba

{"title":"Device-to-device Communications at the Terahertz Band: Open Challenges for Realistic Implementation","authors":"Zhaona Wu, K. Umebayashi, Janne J. Lehtomäki, N. Zorba","doi":"10.1109/MCOMSTD.0001.2100077","DOIUrl":"https://doi.org/10.1109/MCOMSTD.0001.2100077","url":null,"abstract":"One of the key parameters that plays a major role in enabling the data rate requirements is spectrum or bandwidth, which is scarce and expensive. Therefore, spectrum management policies are required to optimize its usage to meet all the requirements and the promised data rate growth. Another strategy to deal with spectrum scarcity is to move toward higher frequency bands (terahertz bands), which are expected in the next 6G communication standard. It is therefore important to develop not only new techniques that enable efficient dynamic spectrum access and sharing at such bands, but also suitable channel models for the terahertz bands. Meanwhile, offloading mechanisms are very promising for cellular networks where a plethora of options have been proposed in the research arena in terms of device-to-device, licensed assisted access, or WiFi offloading, among others; but their behavior, when operated at high frequencies (terahertz band) remains unclear. Therefore, this article will tackle two technologies that will shape future networks: terahertz channel modeling/communications and offloading mechanisms.","PeriodicalId":36719,"journal":{"name":"IEEE Communications Standards Magazine","volume":"7 1","pages":"82-87"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48023329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Series Editorial: Ultra-Low-Latency and Reliable Communications for Future Wireless Networks 系列社论:未来无线网络的超低延迟和可靠通信

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/mcomstd.2023.10078091

Muhammad Ikram Ashraf, M. Guizani, Varun G. Menon, S. Mumtaz

引用次数: 0

ComSoc Membership ComSoc会员

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/mcomstd.2023.10078082

引用次数: 0

IEEE Foundation IEEE基金会

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/mcomstd.2023.10078080

引用次数: 0

Cover 2 封面2

IEEE Communications Standards Magazine Pub Date : 2023-03-01 DOI: 10.1109/mcomstd.2023.10078107

引用次数: 0