📮 Artificial Intelligence for Wireless by Samarendra Nath Sur (.PDF)

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.

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