Optical and Wireless Communications

Applications of Machine Learning and Artificial Intelligence
1. Auflage 2025
ISBN: 978-1-032-75124-5
Verlag: Taylor & Francis Ltd

Buch, Englisch, 258 Seiten, Format (B × H): 156 mm x 234 mm

This edited volume brings together diverse perspectives on machine learning and AI applications in optical and wireless systems, offering a structured and comprehensive resource for researchers and professionals. It explores advancements driven by 5G, IoT, and the increasing demand for high-speed, reliable communication. Covering optical fiber systems, wireless networks, and AI-driven optimizations, the book provides insights into real-world applications impacting telecommunications, healthcare, and transportation.

The contributing authors discuss key topics such as signal processing techniques, optimization algorithms, and deep learning models applied to optical and wireless networks. The volume also highlights emerging challenges, security concerns, and future trends in AI-powered communication systems. This resource is essential for professionals in electrical and computer engineering, telecommunications, and computer science, helping them stay ahead in these rapidly evolving technologies.

Zielgruppe

Academic and Professional Reference

Autoren/Hrsg.

Sharma, Abhishek

Chaudhary, Sushank

Parnianifard, Amir

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Drahtlostechnologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik Signalverarbeitung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken

Inhaltsverzeichnis

Table of Contents

Editor Biographies

Contributor Biographies

1. Introduction to Advances in Optical and Wireless Communication: Role of Machine Learning and AI

Abhishek Sharma, Sushank Chaudhary and Amir Parnianifard

2. A Study to Discuss the Potential of Mobile Network Optimization using Machine Learning

Geeta Arora, Jaya Gupta, Shubham Mishra

3. AI in Mobile Network Management and Performance Enhancement

Avani Vyas and Shivani Sharma

4. Application of Evolutionary Algorithms on Wireless Sensor Network Coverage Optimization: Comparative Study

Amir Parnianifard, Abhishek Sharma, Sushank Chaudhary

5. Fundamentals of Machine Learning in Communication Systems

Shivani Sharma and Avani Vyas

6. Cuckoo Search Optimizer based on Aquila Exploration Strategy

Megha Varshney, Pravesh Kumar, Pinkey Chauhan and Geeta Arora

7. Semantic Communication for High-Quality Image Transmission

Nouman Latif, Muhammad Saadi and Demostenes Zegarra Rodriguez

8. Illuminate the Pathways of Moth Flame Optimization for Global Optimization

Srushti M P, Saanvi Ravi, Pushkar V, Samjith T S, Samarth V Gangadikar and Divya C D

9. Optical Communication and Signal Processing with AI

Sonam Gour

10. Microwave Photonic Radar: Introduction and Signal Processing Challenges

Hum Nath Parajuli

Über Autor(innen)

Sushank Chaudhary is an Associate Professor at Guangdong University of Petrochemical Technology. With over 100 publications, he received the Elite Talent Award (2019) and Marie Sklodowska-Curie Seal of Excellence (2023). His research covers photonic radars, free-space optics, autonomous vehicles, and digital twins.

Amir Parnianifard is an Assistant Professor at the University of Glasgow and UESTC. Ph.D. in Industrial Engineering, with research in computational intelligence and optimization. Senior IEEE Member, PMP® certified, he has over a decade of industry experience and serves as a reviewer for international journals.

Abhishek Sharma is Faculty member at NIT Hamirpur. Ph.D. in Electronics Technology, GNDU. His research focuses on photonic radars, VLC, and FSO. Awarded the C2F Postdoctoral Fellowship (2024), he has over 50 publications, 1031 citations, and an H-index of 20.