{"title":"Generative AI in mobile networks: a survey","authors":"Athanasios Karapantelakis, Pegah Alizadeh, Abdulrahman Alabassi, Kaushik Dey, Alexandros Nikou","doi":"10.1007/s12243-023-00980-9","DOIUrl":null,"url":null,"abstract":"<div><p>This paper provides a comprehensive review of recent challenges and results in the field of generative AI with application to mobile telecommunications networks. The objective is to classify the literature using an approach that encompasses the type of generative AI technology employed, the functional purpose, and the specific component of the mobile network that each solution targets. Moreover, performance requirements for generative AI applications are considered. Thereafter, state-of-the-art generative AI algorithms and an examination of their use cases across various industry verticals are presented. The discussion extends to the current level of AI integration in telecom standardization bodies, such as the 3rd Generation Partnership Project (3GPP). Finally, the open research challenges that the generative AI technology aims to address are thoroughly investigated.</p></div>","PeriodicalId":50761,"journal":{"name":"Annals of Telecommunications","volume":"79 1-2","pages":"15 - 33"},"PeriodicalIF":1.8000,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Telecommunications","FirstCategoryId":"94","ListUrlMain":"https://link.springer.com/article/10.1007/s12243-023-00980-9","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This paper provides a comprehensive review of recent challenges and results in the field of generative AI with application to mobile telecommunications networks. The objective is to classify the literature using an approach that encompasses the type of generative AI technology employed, the functional purpose, and the specific component of the mobile network that each solution targets. Moreover, performance requirements for generative AI applications are considered. Thereafter, state-of-the-art generative AI algorithms and an examination of their use cases across various industry verticals are presented. The discussion extends to the current level of AI integration in telecom standardization bodies, such as the 3rd Generation Partnership Project (3GPP). Finally, the open research challenges that the generative AI technology aims to address are thoroughly investigated.
期刊介绍：
Annals of Telecommunications is an international journal publishing original peer-reviewed papers in the field of telecommunications. It covers all the essential branches of modern telecommunications, ranging from digital communications to communication networks and the internet, to software, protocols and services, uses and economics. This large spectrum of topics accounts for the rapid convergence through telecommunications of the underlying technologies in computers, communications, content management towards the emergence of the information and knowledge society. As a consequence, the Journal provides a medium for exchanging research results and technological achievements accomplished by the European and international scientific community from academia and industry.
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