Data-Driven Intelligence in Wireless Networks: Concepts, Solutions, and Applications

This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep learning, federated learning, and artificial intelligence.

This book details wireless communication problems that can be solved by data-driven solutions. It presents a generalized approach toward solving problems using specific data-driven techniques. The book also develops a taxonomy of problems according to the type of solution presented and includes several case studies that examine data-driven solutions for issues such as quality of service (QoS) in heterogeneous wireless networks, 5G/6G networks, and security in wireless networks.

The target audience of this book includes professionals, researchers, professors, and students working in the field of networking, communications, machine learning, and related fields.

本書強調數據驅動技術在解決無線通信問題中的重要性。它提出了一系列問題（例如性能、安全性和社交網絡相關問題），並使用各種數據驅動技術（包括機器學習、深度學習、聯邦學習和人工智能）提供解決方案。本書詳細介紹了可以通過數據驅動解決的無線通信問題，並提出了一種通用方法來使用特定的數據驅動技術解決問題。該書還根據解決方案的類型開發了一個問題分類法，並包括幾個案例研究，探討了異構無線網絡中的服務質量（QoS）、5G/6G網絡和無線網絡安全等問題的數據驅動解決方案。本書的目標讀者包括在網絡、通信、機器學習和相關領域工作的專業人士、研究人員、教授和學生。

MUHAMMAD KHALIL AFZAL (SM'16) received his MCS and M.S degrees in Computer Science from COMSATS Institute of Information Technology, Wah Campus, Pakistan in 2004 and 2007, respectively, and his PhD. degree from the Department of Information and Communication Engineering, Yeungnam University, South Korea, in December 2014. He has several research projects funded by the Higher Education Commission (HEC), Pakistan, and National Grassroots ICT Research Initiative, Ignite. His research interests include wireless sensor networks, ad hoc networks, data-driven intelligence in wireless networks, smart cities, 5G, and IoT.

MUHAMMAD ATEEQ received his bachelor's degree from Bahauddin Zakariya University at Multan, in 2005, and his MS and Ph.D. degree from COMSATS University Islamabad, Wah Campus, in 2007 and 2021, respectively. He has been in academia for the last 15 years. He is currently an Assistant Professor of Computer Science with The Islamia University of Bahawalpur. His research interests include using data-driven techniques to improve the quality of service in wireless communication.

SUNG WON KIM received his B.S. and M.S. degrees from the Department of Control and Instrumentation Engineering, Seoul National University, South Korea, in 1990 and 1992, respectively, and a Ph.D. degree from the School of Electrical Engineering and Computer Sciences, Seoul National University, in 2002. From 1992 to 2001, he was a researcher with the Research and Development Center, LG Electronics, South Korea. From 2001 to 2003, he was a researcher with the Research and Development Center, AL Tech, South Korea. From 2003 to 2005, he was a postdoctoral researcher with the Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL, USA. In 2005, he joined the Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, South Korea, where he is currently a Professor. His research interests include resource management, wireless networks, mobile networks, performance evaluation, and machine learning.

MUHAMMAD KHALIL AFZAL (SM'16)於2004年和2007年分別在巴基斯坦COMSATS信息技術學院Wah校區獲得計算機科學的MCS和M.S學位，並於2014年12月在南韓Yeungnam大學信息和通信工程系獲得博士學位。他擁有多個由巴基斯坦高等教育委員會（HEC）和國家基層ICT研究計劃Ignite資助的研究項目。他的研究興趣包括無線傳感器網絡、自組網、無線網絡中的數據驅動智能、智慧城市、5G和物聯網。

MUHAMMAD ATEEQ於2005年在巴基斯坦Multan的Bahauddin Zakariya大學獲得學士學位，並於2007年和2021年分別在巴基斯坦COMSATS大學伊斯蘭堡分校Wah校區獲得碩士和博士學位。他在學術界已有15年的經驗，目前是伊斯蘭堡伊斯蘭大學的助理教授。他的研究興趣包括使用數據驅動技術改善無線通信的服務質量。

SUNG WON KIM於1990年和1992年分別在南韓首爾國立大學控制與儀器工程系獲得學士和碩士學位，並於2002年在首爾國立大學電氣工程與計算機科學學院獲得博士學位。從1992年到2001年，他在南韓LG電子研究與開發中心擔任研究員。從2001年到2003年，他在南韓AL Tech研究與開發中心擔任研究員。從2003年到2005年，他在美國佛羅里達大學電氣與計算機工程系擔任博士後研究員。2005年，他加入南韓Gyeongsan的Yeungnam大學信息和通信工程系，目前是該系的教授。他的研究興趣包括資源管理、無線網絡、移動網絡、性能評估和機器學習。