AI in Wireless for Beyond 5g Networks
暫譯: 無線網路中的人工智慧:超越5G網路的應用

Singh, Sukhdeep, Wu, Yulei, Rao Gns, Mohan

  • 出版商: CRC
  • 出版日期: 2024-02-02
  • 售價: $4,980
  • 貴賓價: 9.5$4,731
  • 語言: 英文
  • 頁數: 196
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103230121X
  • ISBN-13: 9781032301211
  • 相關分類: 人工智慧網路通訊
  • 海外代購書籍(需單獨結帳)

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商品描述

This book provides a comprehensive overview of the use of AI in wireless communication for the B5G networks. The authors draws on their expertise in the field to explore the latest developments in AI technologies and their application in B5G wireless communication systems.

商品描述(中文翻譯)

本書提供了有關人工智慧在B5G網路中無線通信應用的全面概述。作者利用其在該領域的專業知識,探討了人工智慧技術的最新發展及其在B5G無線通信系統中的應用。

作者簡介

Dr. Sukhdeep Singh received his PhD in Computer Engineering from Sungkyunkwan University in South Korea in 2016 along with the 'Superior Research Award' for publishing the maximum number of SCI(E) research papers during Ph.D. in 2016 from the Electrical and Computer Engineering department. He also received the 'SKKU bright student scholarship award'. He was part of Brain Korea (BK21) and National Research Foundation of Korea project during his Ph.D. He worked in diverse fields during his Ph.D., viz. eMBMS scheduling, video delivery architecture for 5G, integrating sociology with Next Generation Mobile Networks, D2D communications. Sukhdeep Singh is currently working with Samsung R&D India Bangalore in 5G RAN System design where he is responsible for research and design of O-RAN and Networks Slicing features for 5G Networks. He received Samsung Best Paper Award conferred by CEO & President of Samsung Electronics. He has received Samsung Annual award in Y2023 for creating a record of publishing highest number of research papers (in CTO list) in Y2022 and has also received Samsung Citizen Award/Samsung Excellence Award (quarterly awards) for eight times conferred by MD of Samsung R&D India-Bangalore. He has published more than 40+ research articles, 15+ patents and 2 books in his career. He has served as Guest editor in Taylor and Francis IETE journal, General Chair in workshops hosted/will be hosted in IEEE WCNC 2020 and IEEE Globecom 2020. He also served as Technical Program Chair member for IEEE iNIS 2016, IEEE iNIS 2017, ISRO-ACM ICSE 2017, IEEE iSES 2018, IEEE iSES 2019, IEEE iSES 2020 and IEEE iSES 2021. He has been invited as a guest lecturer by University of Toronto, San Jose State University, IITs, IIMs and IIITs and keynote speaker at Springers ICIMMI 2019 and IEEE Virtual Talk Series 2020. He will be serving as a mentor and panellist at 'Solve for Tomorrow' (Flagship event of Samsung) and 'Invention Factory' organized by IIT Jammu in conjunction with IIT Bombay and IIT Gandhinagar. He co-authored and edited the world's first book on 6G.

Dr. Yulei Wu is a Senior Lecturer with the Department of Computer Science, College of Engineering, Mathematics and Physical Sciences, University of Exeter, United Kingdom. He received his Ph.D. degree in Computing and Mathematics and B.Sc. (1st Class Hons.) degree in Computer Science from the University of Bradford, United Kingdom, in 2010 and 2006, respectively. His expertise is on intelligent networking, and his main research interests include computer networks, networked systems, software defined networks and systems, network management, and network security and privacy. His research has been supported by the Engineering and Physical Sciences Research Council, London Mathematical Society, National Natural Science Foundation of China, University's Innovation Platform (Link Fund) and industry. Dr. Wu serves as an Associate Editor of IEEE Transactions on Network and Service Management, IEEE Transactions on Network Science and Engineering, and IEEE Access, as well as an Area Editor of Computer Networks (Elsevier). He also serves as a Guest Editor for many international journals, including IEEE Journal on Selected Areas in Communications, IEEE Transactions on Industrial Informatics, IEEE Transactions on Cognitive Communications and Networking, IEEE Transactions on Sustainable Computing, and IEEE Transactions on Computational Social Systems. He is a Senior Member of the IEEE and the ACM, and a Fellow of the HEA.

Mr. Mohan is the Corporate Vice President at Samsung Research & Development Bangalore (SRI-B) and heads 5G, 6G, AI in Wireless R&D teams. Having spent 26 years with Samsung, he has spearheaded 'All Generations' of Mobile and Network Protocol R&D spanning multiple markets and operators. He and his team have been key contributors to Wireless Protocol standardization, Securing multiple essential patents, End-to-end stack development of Inter RAT Protocols, Mobility Management, Protocol Systems, IMS, VoLTE/VoNR, RCS and many such cutting edge technologies. Post 5G deployment in the USA and European markets, they are now driving 6G Wireless Communications Research. Mohan is also a key proponent of kernel, application platform. He also handles and nurtures the Global talent pool across Samsung Electronics. Apart from building the Centre of Excellences, he also serves as a leader for the Overall Strategy development at SRIB. He received BE degree in Electronics & Communication in Nagarjuna University, Vijayawada, India in 1995 and stood as University Topper. He also did Management Course in Indian Institute of Management, Bangalore With 25+ patents in Wireless domain, he has received numerous awards including the prestigious "Best Overseas R&D Employee" twice from the President of Samsung Electronics. He was recently conferred Zinnov's "Best Global Leader" award.

Dr. Kaustubh Joshi is currently a director of inventive science with AT&T Labs Research, Bedminster, NJ, USA. At AT&T, he has led the creation of a number of research and production systems in the areas of network virtualization, mobility infrastructures, and IP telecommunications, and has authored more than 100 papers and patents on these topics. His research interests include the intersection of adaptive distributed systems, cloud, and networking.

Dr. Payam Barnaghi is Chair in Machine Intelligence Applied to Medicine in the Department of Brain Sciences at Imperial College London. He is Deputy Director and Group Lead in the Care Research and Technology Centre at the UK Dementia Research Institute. He is an associate editor of the IEEE Transactions on Big Data and vice-chair of the IEEE SIG on Big Data Intelligent Networking. His main research goal is to develop AI and machine learning solutions for healthcare and create affordable and scalable digital systems that can be applied across a range of health conditions. He works on machine learning, Internet of Things (IoT), semantic computing, adaptive algorithms and computational neuroscience to solve problems and develop new technologies for future healthcare systems.

Mr. Madhan Raj Kanagarathinam received the BE degree in computer science and engineering from Anna University, Chennai, India, in 2012. He is currently pursuing his Ph.D. in Indian Institute of Technology (IIT) Madras. He has nine years of working experience in design and development of TCP/IP protocols, Multipath TCP and UNIX flavored operating systems. Currently, he is working as a Senior Chief Engineer for Samsung R&D Institute India Bangalore. Previously, he worked as an Engineer with Aricent Technology (India) Private Limited. He is the author of 15 articles, and more than 25 inventions. His current research interests include communication and network which include Pre-6G/Beyond 5G, Next Generation Mobile Network, software defined network architecture, wireless transport layer protocols, and cross layer optimization technique. He is also the winner of IEEE Bangalore Young Technologist of the Year 2020. He is a senior member of the IEEE, and a member of the ACM.

作者簡介(中文翻譯)

Dr. Sukhdeep Singh 於2016年獲得韓國成均館大學計算機工程博士學位,並因在博士期間發表最多的SCI(E)研究論文而獲得「優秀研究獎」。他還獲得了「成均館大學優秀學生獎學金」。在攻讀博士學位期間,他參與了韓國大腦計畫(BK21)和韓國國家研究基金會的項目。他在博士期間的研究領域包括eMBMS排程、5G視頻傳輸架構、將社會學與下一代行動網絡整合、D2D通訊等。Sukhdeep Singh目前在三星印度班加羅爾的5G RAN系統設計部門工作,負責5G網絡的O-RAN和網絡切片功能的研究與設計。他獲得了由三星電子CEO及總裁頒發的三星最佳論文獎。2023年,他因在2022年創下發表最多研究論文(在CTO名單中)的紀錄而獲得三星年度獎,並且八次獲得由三星印度班加羅爾MD頒發的三星公民獎/三星卓越獎(季度獎)。他在職業生涯中發表了超過40篇研究文章、15項專利和2本書籍。他曾擔任Taylor and Francis IETE期刊的客座編輯,並在IEEE WCNC 2020和IEEE Globecom 2020舉辦的研討會中擔任總主席。他還擔任IEEE iNIS 2016、IEEE iNIS 2017、ISRO-ACM ICSE 2017、IEEE iSES 2018、IEEE iSES 2019、IEEE iSES 2020和IEEE iSES 2021的技術程序主席成員。他曾受邀擔任多倫多大學、聖荷西州立大學、印度理工學院(IIT)、印度管理學院(IIM)和印度信息技術學院(IIIT)的客座講師,並在Springers ICIMMI 2019和IEEE虛擬講座系列2020中擔任主題演講者。他將擔任「Solve for Tomorrow」(三星的旗艦活動)和由IIT Jammu與IIT Bombay及IIT Gandhinagar聯合舉辦的「發明工廠」的導師和小組成員。他共同編寫並編輯了全球首本關於6G的書籍。

Dr. Yulei Wu 是英國埃克塞特大學工程、數學與物理科學學院計算機科學系的高級講師。他於2010年獲得英國布拉德福德大學計算與數學博士學位,並於2006年獲得計算機科學一級榮譽學士學位。他的專長在於智能網絡,主要研究興趣包括計算機網絡、網絡系統、軟體定義網絡及系統、網絡管理以及網絡安全與隱私。他的研究得到了工程與物理科學研究委員會、倫敦數學學會、中國國家自然科學基金、學校的創新平台(Link Fund)和業界的支持。Dr. Wu擔任IEEE網絡與服務管理期刊、IEEE網絡科學與工程期刊及IEEE Access的副編輯,並擔任《計算機網絡》(Elsevier)的區域編輯。他還擔任多本國際期刊的客座編輯,包括IEEE選定通訊領域期刊、IEEE工業信息學期刊、IEEE認知通訊與網絡期刊、IEEE可持續計算期刊及IEEE計算社會系統期刊。他是IEEE和ACM的高級會員,並且是高等教育學會(HEA)的院士。

Mr. Mohan 是三星研究與開發班加羅爾(SRI-B)的企業副總裁,負責5G、6G及無線研發團隊的AI。他在三星工作了26年,領導了涵蓋多個市場和運營商的「所有世代」行動和網絡協議研發。他和他的團隊在無線協議標準化方面做出了重要貢獻,獲得了多項關鍵專利,並開發了端到端的Inter RAT協議、移動管理、協議系統、IMS、VoLTE/VoNR、RCS等多項尖端技術。在美國和歐洲市場部署5G後,他們現在正在推動6G無線通訊研究。Mohan也是內核和應用平台的主要倡導者。他還負責並培養三星電子的全球人才庫。除了建立卓越中心外,他還擔任SRIB整體策略發展的領導者。他於1995年在印度維傑瓦達的納卡朱納大學獲得電子與通信工程學士學位,並名列大學前茅。他還在班加羅爾的印度管理學院進行管理課程學習。擁有25項無線領域的專利,他獲得了包括三星電子總裁頒發的兩次「最佳海外研發員工」等多項獎項。他最近獲得了Zinnov的「最佳全球領導者」獎。

Dr. Kaustubh Joshi 目前是美國新澤西州Bedminster的AT&T實驗室研究部的創新科學主任。在AT&T,他領導了多個研究和生產系統的創建,涵蓋網絡虛擬化、移動基礎設施和IP電信等領域,並在這些主題上發表了超過100篇論文和專利。他的研究興趣包括自適應分佈式系統、雲計算和網絡的交集。

Dr. Payam Barnaghi 是倫敦帝國學院腦科學系應用於醫學的機器智能講座教授。他是英國癡呆症研究所護理研究與技術中心的副主任和小組負責人。他是IEEE大數據期刊的副編輯,並擔任IEEE大數據智能網絡特別興趣小組的副主席。他的主要研究目標是為醫療保健開發AI和機器學習解決方案,並創建可負擔且可擴展的數位系統,適用於各種健康狀況。他的研究涉及機器學習、物聯網(IoT)、語義計算、自適應算法和計算神經科學,以解決問題並開發未來醫療系統的新技術。

Mr. Madhan Raj Kanagarathinam 於2012年獲得印度金奈安娜大學計算機科學與工程的學士學位。他目前正在印度理工學院(IIT)馬德拉斯攻讀博士學位。他在TCP/IP協議、Multipath TCP和UNIX風格操作系統的設計與開發方面擁有九年的工作經驗。目前,他在三星印度班加羅爾研發院擔任高級首席工程師。之前,他曾在Aricent Technology(印度)私人有限公司擔任工程師。他是15篇文章和超過25項發明的作者。他目前的研究興趣包括通信和網絡,涵蓋Pre-6G/超越5G、下一代行動網絡、軟體定義網絡架構、無線傳輸層協議和跨層優化技術。他還是2020年IEEE班加羅爾年度青年技術人員獎的得主。他是IEEE的高級會員,也是ACM的會員。