Название: Intelligent Spectrum Management: Towards 6G
Автор: Sridhar Iyer, Anshuman Kalla, Onel Alcaraz Lopez, Chamitha De Alwis
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 293
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Forward-thinking reference on spectrum sharing and resource management for 5G, B5G, and 6G wireless networks.

Intelligent Spectrum Management: Towards 6G explores various aspects of spectrum sharing and resource management in 5G, beyond 5G, and the envisaged 6G networks. The book offers an in-depth exploration of intelligent and secure sharing of spectrum and resource management in existing and future mobile networks.

The book sets the stage by providing an insight to the evolution of mobile networks and highlights the importance of spectrum sharing and resource management in next-generation wireless networks. At the core, the book explores various promising technologies such as cognitive radio, Reinforcement Learning, Deep Learning, reconfigurable intelligent surfaces, and blockchain technology towards efficient, intelligent, and secure sharing of spectrum and resource management. Moreover, the book presents dynamic and decentralized resource management techniques, including network slicing, game theory, and blockchain-enabled approaches.

6G as the next generation of mobile communication networks is expected to continue the 5G path of nationwide networks complemented with local cellular network deployments by a variety of stakeholders including MNOs and others. Spectrum for 6G is expected to continue to utilize a mix of different frequency bands as in mobile communication systems but with potentially larger bandwidths and higher operating frequencies. Different bands could be jointly utilized to provide wireless links that satisfy a wide range of use cases’ requirements. To help 6G research and development in academia, industry, and policy-making, this chapter aims to bring clarity to how different stakeholders could gain access to the radio spectrum for local mobile communication networks.

Topics covered include:

Spectrum, and why it must be utilized optimally and transparently
Future applications envisioned with 6G, such as digital twins, Industry 5.0, holographic telepresence, and Extended Reality (XR)
Challenges when Dynamic Spectrum Management (DSM) is enabled through Machine Learning (ML) techniques, including the complexity of received signals and the difficulty in obtaining accurate network data such as channel state information
Reinforcement Learning and Deep Learning-assisted spectrum management
Synergy between Artificial Intelligence (AI) and blockchain technology for spectrum management
Private networks, including their prospects, architecture, enabling concepts, and techniques for efficient operation

In essence, various innovative technologies and approaches that can be leveraged to enhance spectrum utilization and efficiently manage network resources are discussed. The book is a potential reference for researchers, academics, and professionals in the wireless service provider industry, as well as regulators and officials.