Leveraging AI-enabled 6G-driven IoT for sustainable smart cities

【Author】 Gera, Bhavya; Raghuvanshi, Yuvraj Singh; Rawlley, Oshin; Gupta, Shashank; Dua, Amit; Sharma, Parjanay

【Source】INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS

【影响因子】1.882

【Abstract】Many scholastic researches have begun around the globe about the competitive technological interventions like 5G communication networks and its challenges. The incipient technology of 6G networks has emerged to facilitate ultrareliable and low-latency applications for sustainable smart cities which are infeasible with the existing 4G/5G standards. Therefore, the advanced technologies like machine learning (ML), block chain, and Internet of Things (IoT) utilizing 6G network are leveraged to develop cost-efficient mechanisms to address the issues of excess communication overhead in the present state of the art. Initially, the authors discussed the key vision of 6G communication technologies, its core technologies (such as visible light communication [VLC] and THz), and the existing issues with the existing network generations (such as 5G and 4G). A detailed analysis of benefits, challenges, and applications of blockchain-enabled IoT devices with application verticals like Smart city, smart factory plus, automation, and XR that form the key highlights for 6G wireless communication network is also presented. In addition, the key applications and latest research of artificial intelligence (AI) in 6G are discussed facilitating the dynamic spectrum allocation mechanism and mobile edge computing. Lastly, an in-depth study of the existing open issues and challenges in green 6G communication network technology, as well as review of solutions and potential research recommendations are also presented.

【Keywords】artificial intelligence; blockchain; green 6G; internet of things; smart city; spectrum technologies

【发表时间】2023 2023 AUG 10

【收录时间】2023-08-27

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