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Driving 5G mobile communications with artificial intelligence towards 6G /
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| 자료유형 | E-Book |
|---|---|
| 개인저자 | Milovanovic, Dragorad A., editor. Bojkovic, Z. S., editor. Fowdur, Tulsi Pawan, editor. |
| 서명/저자사항 | Driving 5G mobile communications with artificial intelligence towards 6G /edited by Dragorad A. Milovanovic, Zoran S. Bojkovic, Tulsi Pawan Fowdur. |
| 형태사항 | 1 online resource : illustrations. |
| 소장본 주기 | OCLC control number change |
| ISBN | 9781003205494 1003205496 9781000851496 1000851494 9781000851526 1000851524 |
| 기타표준부호 | 10.1201/9781003205494doi |
| 서지주기 | Includes bibliographical references and index. |
| 요약 | Driving 5G Mobile Communications with Artificial Intelligence towards 6G presents current work and directions of continuously innovation and development in multimedia communications with a focus on services and users. The fifth generation of mobile wireless networks achieved the first deployment by 2020, completed the first phase of evolution in 2022, and started transition phase of 5G-Advanced toward the sixth generation. Perhaps one of the most important innovations brought by 5G is the platform-approach to connectivity, i.e., a single standard that can adapt to the heterogeneous connectivity requirements of vastly different use cases. 5G networks contain a list of different requirements, standardized technical specifications and a range of implementation options with spectral efficiency, latency, and reliability as primary performance metrics. Towards 6G, machine learning (ML) and artificial intelligence (AI) methods have recently proposed new approaches to modeling, designing, optimizing and implementing systems. They are now matured technologies that improve many research fields significantly. The area of wireless multimedia communications has developed immensely, generating a large number of concepts, ideas, technical specifications, mobile standards, patents, and articles. Identifying the basic ideas and their complex interconnections becomes increasingly important. The book is divided into three major parts, with each part containing four or five chapters: Advanced 5G communication Machine learning-based communication and network automation Artificial Intelligence towards 6G The first part discusses three main scenarios and standard specification of 5G use cases (eMBB, URLLC, mMTC), vehicular systems beyond 5G, and efficient edge architecture on NFV infrastructure. In the second part, different AI/ML-based methodologies and open research challenges are presented in introducing 5G-AIoT artificial intelligence of things, scheduling in 5G/6G communication systems, application of DL techniques to modulation, detection, and channel coding as well as 5G Open Source tools for experimentations and testing. The third part paved the way to deployment scenarios for different innovative services including technologies and applications of 5G/6G intelligent connectivity, AI-assisted eXtended Reality, integrated 5G-IoT architecture in next-generation Smart Grid, privacy requirements in a hyper-connected world, andevaluation of representative 6G use cases and technology trends. The book is written by field experts from Europe and Mauritius who introduce a blend of scuentific and engineering concepts covering this emerging wireless communication era. It is a very good reference book for telecom professionals, engineers, and practitioner in various 5G vertical domains and, finally, a basis for student courses in 5G/6G wireless systems. |
| 일반주제명 | 5G mobile communication systems -- Data processing. Artificial intelligence -- Engineering applications. Communications mobiles 5G -- Informatique. Intelligence artificielle -- Applications en inge?nierie. TECHNOLOGY / Electricity Artificial intelligence -- Engineering applications |
| 언어 | 영어 |
| 기타형태 저록 | Print version:Driving 5G mobile communications with artificial intelligence towards 6G.Boca Raton : CRC Press, 20239781032071244 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=3551901 |
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