Machine Learning for Mobile Communications
暫譯: 行動通信的機器學習

Lam, Sinh Cong, Chowdhary, Chiranji Lal, Jaware, Tushar Hrishikesh

Machine Learning for Mobile Communications
  • 出版商: CRC
  • 出版日期: 2025-12-25
  • 售價: $2,870
  • 貴賓價: 9.5 折 $2,727
  • 語言: 英文
  • 頁數: 194
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032306947
  • ISBN-13: 9781032306940
  • 相關分類: Machine Learning、行動通訊 Mobile-communication

    • 海外代購書籍(需單獨結帳)

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商品描述

Machine Learning for Mobile Communications will take readers on a journey from basic to advanced knowledge about mobile communications and machine learning. For learners at the basic level, this book volume discusses a wide range of mobile communications topics from the system level, such as system design and optimization, to the user level, such as power control and resource allocation. The authors also review state-of-the-art machine learning, one of the biggest emerging trends in both academia and industry. For learners at the advanced level, this book discusses solutions for long-term problems with future mobile communications such as resource allocation, security, power control, and spectral efficiency. The book brings together some of the top mobile communications and machine learning experts throughout the world, who contributed their knowledge and experience regarding system design and optimization.

This book:

  • Discusses the 5G new radio system design and architecture as specified in 3GPP documents
  • Highlights the challenges including security and privacy, energy, and spectrum efficiency from the perspective of 5G new radio systems
  • Identifies both theoretical and practical problems that can occur in mobile communication systems
  • Covers machine learning techniques such as autoencoder and Q-learning in a comprehensive manner
  • Explores how to apply machine learning techniques to mobile systems to solve modern problems

This book is for senior undergraduate and graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

商品描述(中文翻譯)

《行動通訊的機器學習》將帶領讀者從基本知識到進階知識，深入了解行動通訊和機器學習。對於初學者，本書涵蓋了廣泛的行動通訊主題，從系統層面（如系統設計和優化）到用戶層面（如功率控制和資源分配）。作者還回顧了最先進的機器學習，這是學術界和產業界中最大的趨勢之一。對於進階學習者，本書討論了未來行動通訊的長期問題解決方案，如資源分配、安全性、功率控制和頻譜效率。本書匯集了全球一些頂尖的行動通訊和機器學習專家，他們分享了在系統設計和優化方面的知識和經驗。

本書內容包括：
- 討論根據3GPP文件規範的5G新無線電系統設計和架構
- 從5G新無線電系統的角度突顯安全性和隱私、能源和頻譜效率等挑戰
- 確定行動通訊系統中可能出現的理論和實際問題
- 全面涵蓋自動編碼器（autoencoder）和Q學習（Q-learning）等機器學習技術
- 探索如何將機器學習技術應用於行動系統以解決現代問題

本書適合電機工程、電子與通訊工程及計算機工程領域的高年級本科生、研究生及學術研究人員。

作者簡介

Sinh Cong Lam received a Bachelor of Electronics and Telecommunication (Honours) and Master of Electronic Engineering in 2010 and 2012, respectively, from University of Engineering and Technology, Vietnam National University (UET, VNUH). He obtained his Ph.D. degree from the University of Technology, Sydney, Australia. He is currently with the Faculty of Electronics and Telecommunications, VNU University of Engineering and Technology, Vietnam. His research interests focus on modeling, performance analysis and optimization for cellular networks, stochastic geometry model for wireless communications.

Chiranji Lal Chowdhary is an associate professor in the School of Information Technology & Engineering at the Vellore Institute of Technology (VIT) in Vellore, India, where he has been since 2010. He received a B.E. (CSE) from MBM Engineering College at Jodhpur in 2001, and M. Tech. (CSE) from the M.S. Ramaiah Institute of Technology at Bangalore in 2008. He received his Ph.D. in Information Technology and Engineering from the VIT University Vellore in 2017. From 2006 to 2010 he worked at M.S. Ramaiah Institute of Technology in Bangalore, eventually as a Lecturer. His research interests span both computer vision and image processing.

Tushar Hrishikesh Jaware holds a bachelor's degree in electronics and telecommunication engineering from North Maharashtra University, Jalgaon. He further pursued a master's degree in digital electronics and obtained a Ph.D. in medical image processing from Sant Gadge Baba Amravati University, Amravati. Currently serving as the Dean of Research and Development at the R. C. Patel Institute of Technology in Shirpur, Maharashtra, India, Dr. Jaware possesses over 18 years of invaluable teaching experience.

Subrata Chowdhury is working in the Department of the Computer Science of Engineering of Sreenivasa Institute of Technology and Management as an associate professor. He has been working in the IT Industry for more than 5 years in the R&D developments, he has handled many projects in the industry with much dedications and perfect time limits. He has been handling projects related to AI, Blockchains and the Cloud Computing for the companies from various National and Internationals Clients.

作者簡介(中文翻譯)

Sinh Cong Lam於2010年和2012年分別獲得越南國立大學工程技術大學（UET, VNUH）電子與電信學士（榮譽）及電子工程碩士學位。他在澳大利亞悉尼科技大學獲得博士學位。目前，他在越南國立大學工程技術大學電子與電信學院任職。他的研究興趣集中在行動網路的建模、性能分析及優化，以及無線通信的隨機幾何模型。

Chiranji Lal Chowdhary是印度維洛爾科技學院（VIT）資訊科技與工程學院的副教授，自2010年以來一直在此任教。他於2001年在喬德布爾的MBM工程學院獲得計算機科學與工程（CSE）學士學位，並於2008年在班加羅爾的M.S. Ramaiah科技學院獲得計算機科學與工程（CSE）碩士學位。他於2017年在維洛爾的VIT大學獲得資訊科技與工程博士學位。從2006年到2010年，他在班加羅爾的M.S. Ramaiah科技學院工作，最終擔任講師。他的研究興趣涵蓋計算機視覺和影像處理。

Tushar Hrishikesh Jaware擁有北馬哈拉施特拉大學（North Maharashtra University, Jalgaon）電子與電信工程學士學位。他進一步攻讀數位電子碩士學位，並在Sant Gadge Baba Amravati大學獲得醫學影像處理博士學位。目前，他在印度馬哈拉施特拉州Shirpur的R.C. Patel科技學院擔任研究與發展院長，擁有超過18年的寶貴教學經驗。

Subrata Chowdhury在Sreenivasa科技與管理學院的計算機科學工程系擔任副教授。他在IT產業工作超過5年，專注於研發，並以極大的奉獻精神和準時完成多個行業專案。他負責與各國內外客戶相關的AI、區塊鏈和雲計算專案。

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