Mobile and Wireless Communications with Practical Use-Case Scenarios (Paperback)
暫譯: 實用案例場景的行動與無線通信
Trestian, Ramona
- 出版商: CRC
- 出版日期: 2022-12-22
- 售價: $2,300
- 貴賓價: 9.5 折 $2,185
- 語言: 英文
- 頁數: 326
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032119020
- ISBN-13: 9781032119021
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相關分類:
Wireless-networks
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商品描述
The growing popularity of advanced multimedia-rich applications along with the increasing affordability of high-end smart mobile devices has led to a massive growth in mobile data traffic that puts significant pressure on the underlying network technology. However, no single network technology will be equipped to deal with this explosion of mobile data traffic. While wireless technologies had a spectacular evolution over the past years, the present trend is to adopt a global heterogeneous network of shared standards that enables the provisioning of quality of service and quality of experience to the end-user. To this end, enabling technologies like machine learning, Internet of Things and digital twins are seen as promising solutions for next generation networks that will enable an intelligent adaptive interconnected environment with support for prediction and decision making so that the heterogeneous applications and users' requirements can be highly satisfied.
The aim of this textbook is to provide the readers with a comprehensive technical foundation of the mobile communication systems and wireless network design, and operations and applications of various radio access technologies. Additionally, it also introduces the reader to the latest advancements in technologies in terms of Internet of Things ecosystems, machine learning and digital twins for IoT-enabled intelligent environments. Furthermore, this textbook also includes practical use-case scenarios using Altair WinProp Software as well as Python, TensorFlow and Jupyter as support for practice-based laboratory sessions.
商品描述(中文翻譯)
隨著高端智慧型行動裝置的價格逐漸親民,以及多媒體豐富應用程式的日益普及,行動數據流量呈現出大幅增長,這對底層網路技術造成了重大壓力。然而,沒有任何單一的網路技術能夠應對這一行動數據流量的爆炸性增長。雖然無線技術在過去幾年中經歷了驚人的演變,但目前的趨勢是採用全球異質網路的共享標準,以便為最終用戶提供服務質量(Quality of Service, QoS)和體驗質量(Quality of Experience, QoE)。為此,機器學習(machine learning)、物聯網(Internet of Things, IoT)和數位雙胞胎(digital twins)等啟用技術被視為下一代網路的有前景解決方案,這將實現一個智能自適應的互聯環境,支持預測和決策,以便高度滿足異質應用和用戶需求。
本教科書的目的是為讀者提供行動通信系統和無線網路設計的全面技術基礎,以及各種無線接入技術的操作和應用。此外,它還介紹了物聯網生態系統、機器學習和數位雙胞胎等技術的最新進展,以支持物聯網驅動的智能環境。此外,本教科書還包括使用 Altair WinProp 軟體的實際案例場景,以及 Python、TensorFlow 和 Jupyter 作為實踐基礎實驗課程的支持。
作者簡介
Dr. Ramona Trestian is a Senior Lecturer with the Design Engineering and Mathematics Department, Faculty of Science and Technology, Middlesex University, London, UK. She was previously an IBM-IRCSET Exascale Postdoctoral Researcher with the Performance Engineering Laboratory (PEL) at Dublin City University (DCU), Ireland. She was awarded the PhD from Dublin City University in March 2012 and the B.Eng. in Telecommunications from Technical University of Cluj-Napoca, Romania, 2007. She has published in prestigious international conferences and journals and has five edited books. Her research interests include mobile and wireless communications, quality of experience, multimedia systems, Industry 4.0 and digital twin modelling. She is an Associate Editor of the IEEE Communications Surveys and Tutorials.
作者簡介(中文翻譯)
拉莫娜·特雷斯蒂安博士是英國倫敦米德爾塞克斯大學科學與技術學院設計工程與數學系的高級講師。她曾擔任愛爾蘭都柏林城市大學(DCU)性能工程實驗室(PEL)的IBM-IRCSET超級計算後博士研究員。她於2012年3月獲得都柏林城市大學的博士學位,並於2007年獲得羅馬尼亞克盧日-納波卡技術大學的電信工程學士學位。她在多個著名國際會議和期刊上發表過論文,並編輯了五本書籍。她的研究興趣包括移動和無線通信、使用體驗質量、多媒體系統、工業4.0和數位雙胞胎建模。她是IEEE通訊調查與教程的副編輯。