Название: Artificial Intelligence for Wireless Communication Systems: Technology and Applications
Автор: Samarendra Nath Sur, Agbotiname Lucky Imoize, Ankan Bhattacharya, Debdatta Kandar
Издательство: CRC Press
Год: 2025
Страниц: 319
Язык: английский
Формат: pdf (true)
Размер: 13.6 MB

The text provides a comprehensive study of the application of advanced Artificial Intelligence (AI) in next-generation wireless communications with a focus on theory, standardization, and core development. It further highlights AI-enabled intelligent architecture for sixth-generation (6G) networks to realize smart resource management, automatic network adjustment, and intelligent service layers. The book covers artificially assisted non-orthogonal multiple access schemes for 6G communication.

Next‑generation wireless networks demand intelligent algorithms capable of adapting to well‑defined network protocols and achieving efficient resource management to satisfy billions of data‑hungry applications. However, traditional techniques for analyzing wireless communication systems are no longer optimal due to increasing network complexity, precise signal processing requirements, and substantial computational costs. Moreover, designing and optimizing 5G and beyond 5G wireless networks pose challenges due to critical requirements for network efficiency and high‑quality user experience. To address these problems, Artificial Intelligence (AI) approaches, including Deep Learning (DL), deep reinforcement learning (DRL), transfer learning (TL), Federated Learning (FL), and distributed learning, are currently being introduced to wireless communication systems. AI is gaining widespread popularity as a candidate technology to tackle the design complexity issues in wireless systems. Specifically, AI has demonstrated great potential for providing solutions to network issues that seemed intractable in the past. Additionally, AI has delivered remarkable results in speech synthesis, image detection, and natural language processing. Furthermore, AI finds applications in resource management, channel modeling, and wireless signal processing. Thus, the research focus has shifted to harnessing the vast potential of AI‑based technologies in the design and development of next‑generation wireless systems.

This book proposes a comprehensive overview of the application of advanced AI in next‑generation wireless communications, with a primary focus on theory, standardization, and core development. The book delves into various aspects of wireless communications where AI can play a pivotal role, such as channel modeling, channel estimation, signal detection, channel coding design, resource and mobility management, and localization. Furthermore, the book explores the technical challenges inherent in the pervasive adoption of 5G wireless networks and anticipates the integration of AI‑based techniques in the envisioned 6G wireless networks. The book also addresses potential issues that may arise wit AI‑enabled approaches in wireless communications and provides recommendations for further research exploration in this dynamic field.

This book:

Discusses the use of AI in various aspects of wireless communications, including channel modeling, signal detection, channel coding design, and resource management.
Explores technical challenges in the ubiquitous fifth-generation (5G) wireless networks and the prospects of introducing Artificial Intelligence-based techniques in the envisioned 6G wireless networks.
Presents potential issues in AI-enabled approaches in wireless communications
Covers AI-enabled energy efficiency optimization and cross-layer optimization in the next-generation wireless networks.
Explains artificially empowered security and privacy schemes in next-generation wireless networks and next-generation mobile management.

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.