Название: Driving 5G Mobile Communications with Artificial Intelligence towards 6G
Автор: Dragorad A. Milovanovic, Zoran S. Bojkovic, Tulsi Pawan Fowdur
Издательство: CRC Press
Год: 2023
Страниц: 503
Язык: английский
Формат: pdf (true)
Размер: 19.3 MB

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.

No previous generation of mobile communication has raised so many hopes and fears as the 5G (fifth generation) wireless systems, conceptualized and standardized within the last decade. Fortunately, the fears were largely unfounded, while the hopes are yet to be materialized. As the rollout of 5G is in full swing around the world, we are anticipating a large-scale demonstration of the transformative power that 5G can have on various industries and the society.

Perhaps one of the most important innovations brought by 5G is the platform approach to connectivity, that is, a single standard that can adapt to heterogeneous connectivity requirements by vastly different use cases. This platform has been developed along three dimensions: faster and better mobile Internet access, provision of low latency with high reliability, and support of connectivity for a massive number of IoT devices. While 5G is being rolled out, there is a significant research momentum in the academia and industry toward the next generation, 6G wireless systems. While the detailed concepts are yet to be developed, some contours of the 6G systems start to appear and they reveal that machine learning (ML) and artificial intelligence (AI) methods will play significant roles in the protocols and the network architecture of 6G.

This book is a timely and well-structured effort toward elaborating upon the key ideas and concepts that constitute 5G, the complex interaction among those concepts, the use of ML/AI toward addressing those interactions, and, finally, how they pave the way toward 6G. Several of the chapters provide deep technical insights into the relevant standards and the use cases. This book can be seen as a reference for telecom professionals, engineers, and practitioners in various vertical domains where 5G is poised to have an impact and, finally, a basis for student courses in 5G/6G wireless systems.

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.