Explainable AI for Communications and Networking

Toward Responsible Automation

Hatim Chergui, Melike Erol-Kantarci, Christos Verikoukis (Herausgeber)

Buch | Softcover

225 Seiten

2025
Academic Press Inc (Verlag)
978-0-443-29135-7 (ISBN)

Noch nicht erschienen (ca. April 2025)
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Explainable AI for Communications and Networking: Toward Responsible Automation gives a tour into the realm of Explainable Artificial Intelligence (XAI) and its impact on transparent and autonomous communication networks. The book equips readers from diverse backgrounds in communications and networking with powerful XAI tools to demystify AI systems in a clear and concise manner. Additionally, it provides detailed insights into XAI deployment scenarios and architectures in future B5G/6G systems. Use cases and real-world applications demonstrate the transformative potential of XAI in enhancing network performance optimization, fault management, and communication systems design, providing valuable insights from industry experts.

Finally, the book explains the regulatory, ethical, and legal implications of XAI in telecommunications, ensuring responsible deployment and mitigating biases and unintended consequences, along with a look to the future that explores emerging trends and directions in XAI.

Hatim Chergui (IEEE SM'22) received the Ph.D. degree (summa cum laude) in electrical engineering and telecommunications from IMT-Atlantique (Télécom-Bretagne), Brest, France. He is a Senior Researcher at i2CAT Foundation, Barcelona, Spain. He was the project manager of the H2020 MonB5G European project and a researcher at CTTC, Spain. He served as a RAN expert at both INWI and Huawei Technologies, Morocco. He was the recipient of the IEEE ComSoc CSIM 2021 Best Journal Paper Award and the IEEE ICC 2020 Best Paper Award. He is an Associate Editor of IEEE Networking Letters. Dr. Melike Erol-Kantarci is Canada Research Chair (Tier 2) in AI-Enabled Next-Generation Wireless Networks and Full Professor at the School of Electrical Engineering and Computer Science at the University of Ottawa, ON, Canada. She is also Chief Cloud RAN AI/ML Data Scientist at Ericsson. She is the founding director of the Networked Systems and Communications Research (NETCORE) laboratory. She is a Faculty Affiliate at the Vector Institute and the Institute for Science, Society and Policy. She is also a courtesy faculty at the Department of Electrical and Computer Engineering at Clarkson University, Potsdam, NY. Prof. Christos Verikoukis got his PhD from the Signal Theory and Communications Department of the Technical University of Catalonia (UPC), Barcelona, in 2000, in Broadband Indoor Wireless Communications. He is an Associate Professor with the University of Patras, CEI Department. He has published 147 journal papers, more than 220 conference papers and 18 chapters in different books. He is also co-author of 4 Books and he filled 4 patents. His publications received more than 7500 citations.

1. Introduction to Explainable AI for Communications and Networking
2. AI-Based Network Automation
3. Explainable AI
4. XAI Frameworks
5. XAI Deployment architectures in Future B5G/6G Systems
6. Explainable AI for Communication Systems Design
7. Explainable AI for Network Management
8. Explainable AI for Network Security and Privacy
9. Practical Use-Cases
10. Regulatory/Ethical aspects
11. Future Directions and Challenges
12. Conclusion

Erscheint lt. Verlag	2.4.2025
Verlagsort	San Diego
Sprache	englisch
Maße	191 x 235 mm
Themenwelt	Technik ► Nachrichtentechnik
ISBN-10	0-443-29135-7 / 0443291357
ISBN-13	978-0-443-29135-7 / 9780443291357
Zustand	Neuware