The Road to B5G/6G Mobile Communication Networks: Technologies and Applications (River Publishers Series in Communications and Networking)

Tseng, Chih-Cheng (EDT)/ Mihovska, Albena (EDT)/ Lien, Shao-Yu (EDT)

River Publishers（2025/10発売）

• 製本 Hardcover:ハードカバー版／ページ数 300 p.
• 言語 ENG
• 商品コード 9788743801092

Full Description

This book provides essential resources for industry, academia, and research professionals for understanding the potential evolving roadmap of Beyond 5G (B5G) and 6G technologies and their diverse applications.

In the critical era of the evolution of the 5G mobile communication networks, wireless mobile communication technologies have already pivoted toward the next stages: Beyond 5G (B5G) and the upcoming Sixth Generation (6G). This book is an insightful collection that explores cutting-edge technologies and applications guiding the paths toward B5G and 6G mobile communication networks. Divided into two parts, Technologies and Applications, the book covers a broad spectrum of advancements or the future of mobile systems.

The focus of Part I: Technologies and advanced techniques to B5G/6G is AI-enhanced language learning applications and the use of graph convolutional networks for channel and power allocation in device-to-device communication. It also explores machine learning methods for beam selection and unsupervised learning approaches in mobile network management. Topics such as frequency resource allocation in satellite communication, high-frequency mmWave analysis using clustering methods, and deep learning for network traffic prediction are highlighted. Furthermore, innovative concepts like area sweep coverage, hardware implementations for signal processing, and centralized radio access networks (C-RAN) are discussed, providing a glimpse into future dynamic radio resource allocation schemes.

Part II: Applications addresses emerging trends such as quantum machine learning and the transformative potential of the Tactile Internet in enhancing healing and self-actualization. It also explores real-time system communication efficiencies, showcasing the practical impacts of these advancements.

Contents

Part I: Technologies

1. Opportunities and Limitations of Dialogue-based Foreign Language Learning AI Applications

2. A Graph Convolutional Network for Channel and Power Allocation in Device-to-device Communication

3. A Two-stage Beam Selection Method using Machine Learning and a Peak Finding Algorithm

4. A Smart Trouble Ticket Management Approach for Mobile Networks Using Unsupervised Learning

5. A Q-learning Algorithm-based Frequency Resource Allocation for User Links in High Throughput Satellite Communication

6. K-medoids and BIRCH Clustering Methods for Analyzing 6G High MmWave Bands

7. Network Traffic Data Prediction using Deep Learning

8. Area Sweep Coverage: A Trade-off between Tour Length and Memory Requirements

9. Hardware Implementation of a Direction of Arrival Estimation Algorithm using LU Decomposition

10. Centralized Radio Access Network (C-RAN) Architecture for 5G using Front haul (FH) and Backhaul (BH) Networks

11. A Dynamic Radio Resource Allocation Scheme for the B5G Mobile Systems Evaluated on the B5G/IoT Testbed with High Reliability and High Elasticity

Part II: Applications

12. Quantum Machine Learning - The Need of Time

13. Unlocking Inner Potential: Tactile Internet's Impact on Healing and Self-actualization

14. Efficient Communication,for Real-time Systems