Machine Learning for Radio Resource Management and Optimization in 5g and Beyond
暫譯: 5G及未來無線資源管理與優化的機器學習

本書強調了一條新的研究方向，利用基於人工智慧/機器學習（AI/ML）技術的創新技術和方法，來解決與5G和6G通信系統中的無線資源管理相關的問題和挑戰。本書全面涵蓋了當前及新興的波形設計、通道建模等主題。

Mariyam Ouaissa is currently an Assistant Professor in Networks and Systems at ENSA, Chouaib Doukkali University, El Jadida, Morocco. She earned her Ph.D. in 2019 from National Graduate School of Arts and Crafts, Meknes, Morocco and her Engineering Degree in 2013 from the National School of Applied Sciences, Khouribga, Morocco. She is a communication and networking researcher and practitioner with industry and academic experience. Dr Ouaissa's research is multidisciplinary that focuses on Internet of Things, M2M, WSN, vehicular communications and cellular networks, security networks, congestion overload problem and the resource allocation management and access control.

Mariya Ouaissa is currently an Assistant Professor in Cybersecurity and Networks at Faculty of Sciences Semlalia, Cadi Ayyad University, Marrakech, Morocco. She earned her Ph.D. in 2019 in Computer Science and Networks, at the Laboratory of Modelisation of Mathematics and Computer Science from ENSAM-Moulay Ismail University, Meknes, Morocco. She is a Networks and Telecoms Engineer, graduated in 2013 from National School of Applied Sciences Khouribga, Morocco. She is a co-Founder and IT Consultant at IT Support and Consulting Center. She was working for School of Technology of Meknes Morocco as a Visiting Professor from 2013 to 2021.

Hanane Lamaazi received an M.Sc. degree in Networks and Telecommunications from Chouaib Doukkali University and a Ph.D. degree in Network and Computer Sciences from Moulay Ismail University, Morocco, in 2013 and 2018, respectively. She was a Post-doctoral Fellow at the Center on Cyber-Physical Systems at Khalifa University, UAE, from 2019 - 2022. She is an Assistant Professor at the College of Information Technology at UAE University, UAE. Her research interests focus on the Internet of Things (IoT), RPL Routing protocol, Edge Computing, Crowd-sensing and Security.

Slimani Khadija earned her Ph.D. in Computer Science from the Faculty of Science at Ibn Tofail University in 2020. During her doctoral studies, she collaborated with University of Technology of Belfort Montbéliard (UTBM), Montbéliard in France to conduct research with a focus on machine learning, deep learning, pattern recognition, and computer vision, specifically applied to academic emotion recognition. Upon the successful completion of her Ph.D. thesis, Dr. Khadija embarked on a postdoctoral journey at the University of Poitiers, assuming the role of a postdoctoral associate. In this capacity, her research revolved around Objects DRI (Detection, Recognition, and Identification), while employing machine learning and deep learning methodologies to enhance video content filtering for optimal security. Her contributions extended to diverse engineering schools in Paris, where she undertook teaching responsibilities across modules spanning data science, deep learning, machine learning, databases, and computer vision. She is currently an Associate Professor at the Graduate School of Automatic Electronic Computing in Paris, France.

Ihtiram Raza Khan is working as senior academician at Jamia Hamdard, Delhi, He has over 26 years of experience and earned his PhD in the field of software engineering and neural networks. His research interests include Software engineering, Computer Graphics, Machine and Deep learning, Big data, Analytics, Cyber security and IOT. He has been actively involved in training and placement activities as Head and has offered consultancies to 15+ companies. He has over 20 International and Indian patents and copyrights against his name. He has written over 20 books and 30 book chapters, 75+ research papers in SCI/Scopus/Springer and peer-reviewed journals.

B. Sundaravadivazhagan is an experienced researcher and educator in the field of Information and Communication Engineering. He has more than 21 years of experience in teaching and research and has earned his Ph.D. in Information and Communication Engineering from Anna University in Chennai in 2016. He is a member of various professional bodies such as IEEE, ISACA, ISTE, and ACM, and has published over 40 research articles in SCI and Scopus journals. He has also served as a resource person, keynote speaker, and advisory committee member in more than 20 international and national conferences. He has received two research grants from the Ministry of Higher Education, Research and Innovation, The Research Council (TRC), Oman. His research interests include IoT, AI and Machine learning, Deep learning, Cloud computing, Networks and security, Wireless networks, and MANET.

**Mariyam Ouaissa** 目前是摩洛哥埃爾賈迪達的 Chouaib Doukkali 大學網路與系統助理教授。她於 2019 年在摩洛哥梅克內斯的國立工藝研究生院獲得博士學位，並於 2013 年在摩洛哥 Khouribga 的國立應用科學學校獲得工程學位。她是一位在通信和網路領域的研究者和實踐者，擁有業界和學術經驗。Ouaissa 博士的研究是多學科的，專注於物聯網 (Internet of Things)、機器對機器 (M2M)、無線感測網路 (WSN)、車輛通信和行動網路、安全網路、擁塞過載問題以及資源分配管理和存取控制。

**Mariya Ouaissa** 目前是摩洛哥馬拉喀什 Cadi Ayyad 大學科學學院的網路與網路安全助理教授。她於 2019 年在摩洛哥梅克內斯的 ENSAM-Moulay Ismail 大學的數學與計算機科學建模實驗室獲得計算機科學與網路的博士學位。她是一名網路和電信工程師，於 2013 年從摩洛哥 Khouribga 的國立應用科學學校畢業。她是 IT 支援與諮詢中心的共同創辦人和 IT 顧問。她曾於 2013 年至 2021 年擔任摩洛哥梅克內斯技術學院的客座教授。

**Hanane Lamaazi** 於 2013 年獲得摩洛哥 Chouaib Doukkali 大學的網路與電信碩士學位，並於 2018 年在摩洛哥 Moulay Ismail 大學獲得網路與計算機科學博士學位。她曾於 2019 年至 2022 年在阿聯酋 Khalifa 大學的網路物理系擔任博士後研究員。她目前是阿聯酋大學資訊科技學院的助理教授。她的研究興趣集中在物聯網 (IoT)、RPL 路由協議、邊緣計算、群眾感知和安全性。

**Slimani Khadija** 於 2020 年在摩洛哥 Ibn Tofail 大學科學學院獲得計算機科學博士學位。在她的博士研究期間，她與法國蒙貝利亞的貝爾福特技術大學 (UTBM) 合作，進行以機器學習、深度學習、模式識別和計算機視覺為重點的研究，特別應用於學術情感識別。在成功完成博士論文後，Khadija 博士開始了她的博士後旅程，擔任普瓦捷大學的博士後研究員。在此角色中，她的研究圍繞物體 DRI（檢測、識別和辨識），並運用機器學習和深度學習方法來增強視頻內容過濾以達到最佳安全性。她的貢獻擴展到巴黎的多所工程學校，並在數據科學、深度學習、機器學習、數據庫和計算機視覺等模組中擔任教學職責。她目前是法國巴黎自動電子計算研究所的副教授。

**Ihtiram Raza Khan** 目前在德里 Jamia Hamdard 擔任高級學者，擁有超過 26 年的經驗，並在軟體工程和神經網路領域獲得博士學位。他的研究興趣包括軟體工程、計算機圖形學、機器學習和深度學習、大數據、分析、網路安全和物聯網 (IoT)。他作為負責人積極參與培訓和就業活動，並為 15 家以上的公司提供諮詢服務。他擁有超過 20 項國際和印度專利及著作權，並撰寫了超過 20 本書籍和 30 章書籍，發表了 75 篇以上的 SCI/Scopus/Springer 和同行評審期刊的研究論文。

**B. Sundaravadivazhagan** 是資訊與通信工程領域的經驗豐富的研究者和教育者。他擁有超過 21 年的教學和研究經驗，並於 2016 年在印度金奈的安娜大學獲得資訊與通信工程博士學位。他是多個專業機構的成員，如 IEEE、ISACA、ISTE 和 ACM，並在 SCI 和 Scopus 期刊上發表了超過 40 篇研究文章。他還在 20 多個國際和國內會議中擔任資源人員、主題演講者和諮詢委員會成員。他獲得了來自阿曼高等教育、研究與創新部的兩項研究資助。他的研究興趣包括物聯網 (IoT)、人工智慧和機器學習、深度學習、雲計算、網路與安全、無線網路和 MANET。