Genai and Llms for Beyond 5g Networks
暫譯: 超越5G網路的生成式AI與大型語言模型

Singh, Sukhdeep, Kanagarathinam, Madhan Raj, Rao Gns, Mohan

  • 出版商: Springer
  • 出版日期: 2026-02-13
  • 售價: $7,970
  • 貴賓價: 9.8$7,810
  • 語言: 英文
  • 頁數: 378
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 3032064171
  • ISBN-13: 9783032064172
  • 相關分類: 無人機5G
  • 海外代購書籍(需單獨結帳)

商品描述

Beyond 5G and 6G Networks, the AI-Native Revolution explores the transformative convergence of generative artificial intelligence (GenAI), large language models (LLMs), and next-generation telecommunications. This book delves into the architectural innovations enabling AI-driven connectivity, from intelligent edge devices to adaptive radio access networks. It covers the integration of GenAI for real-time network optimization, generative modeling of wireless channels, and advanced analytics for actionable insights. Security frameworks for AI-native systems, orchestration of autonomous networks, and the fusion of AI with signal processing are thoroughly examined, offering practical solutions for researchers, engineers, and policymakers.

The book also addresses the challenges of computational constraints, ethical dilemmas, and regulatory complexities in deploying AI-driven networks. It provides a technical yet accessible roadmap for building equitable, trustworthy, and efficient systems, balancing innovation with responsibility. With insights grounded in rigorous research and real-world applications, this work is a guide for students, practitioners, and visionaries shaping the future of connectivity. It invites readers to reimagine networks as intelligent ecosystems that anticipate needs and empower humanity's highest aspirations.

商品描述(中文翻譯)

超越 5G 和 6G 網路,AI 原生革命探討了生成式人工智慧(Generative Artificial Intelligence, GenAI)、大型語言模型(Large Language Models, LLMs)與下一代電信的轉型融合。本書深入探討了使 AI 驅動連接成為可能的架構創新,從智能邊緣設備到自適應無線接入網路。內容涵蓋了 GenAI 在實時網路優化中的整合、無線通道的生成建模,以及用於可行見解的高級分析。針對 AI 原生系統的安全框架、自主網路的編排,以及 AI 與信號處理的融合進行了全面的研究,為研究人員、工程師和政策制定者提供了實用的解決方案。

本書還探討了在部署 AI 驅動網路時面臨的計算限制、倫理困境和監管複雜性。它提供了一個技術性但易於理解的路線圖,以建立公平、值得信賴和高效的系統,平衡創新與責任。這部作品以嚴謹的研究和實際應用為基礎,為學生、從業者和塑造連接未來的願景者提供指導。它邀請讀者重新想像網路作為智能生態系統,預測需求並賦予人類最高的理想。

作者簡介

Dr. Sukhdeep Singh is a General Manager at Samsung R&D Institute India - Bangalore. Prior to this he has received his Ph.D. from SKKU South Korea. He has authored 55+ peer-reviewed publications, filed 60+ global patents and co-edited/co-authored 3 pioneering books. Dr. Singh is a recipient of numerous prestigious honors, including the IETE B. V. Baliga Memorial Award 2024, Best Research Paper Award at IEEE ICC 2024 and ICC 2025, 15 Samsung Excellence Awards, 5 Samsung Annual Author Awards, and Samsung Best Paper Award 2018 (Silver) conferred by Samsung CEO in Korea.

Dr. Madhan Raj Kanagarathinam is an Architect at Samsung R&D Institute India - Bangalore. Prior to this he has received his Ph.D. from IIT Madras. He is the author of 30 articles, and more than 140 patents. He has more than 12 years of working experience in design and development of TCP/IP protocols, Multipath TCP and UNIX flavored operating systems. 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.

Mr. Mohan Rao GNS is the Corporate Vice President and Managing Director at Samsung Research & Development Bangalore (SRI-B). Having spent 26 years with Samsung, he has spearheaded 'All Generations' of Mobile and Network Protocol R&D spanning multiple markets and operators. 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. He also won the Indian Achiever Award for "CTO of the Year" in Y2024.

Prof. Yulei Wu is an Associate Professor working across the Faculty of Science and Engineering and the Bristol Digital Futures Institute, University of Bristol, UK. He received his Ph.D. degree in Computing and Mathematics degree in Computer Science from the University of Bradford, UK, in 2010. He has published more than 10 authored/edited monograph books, and over 150 research papers in prestigious international journals and at reputable international conferences. Some of his research results were featured by the IEEE Network Scanning the Literature and the IEEE Xplore Innovation Spotlight.

Prof. Navrati Saxena is an Associate Professor at the Department of Computer Science, San Jose State University (SJSU), California, USA. She received her Ph.D. degree from the University of Trento, Italy. She has co-authored one book; filed two patents and published one International book chapter on 6G; more than 90 Intl. journals and many Intl. conferences, with more than 4,000 citations (Google Scholar). She also serves as a guest editor in different Intl. journals, Technical Program Committee (TPC) Chair/member in many Intl. conferences.

Dr. Ashok Kumar Reddy Chavva (Senior Member, IEEE) received the B.Tech. degree in electronics and communications engineering from Jawaharlal Nehru Technological University, Hyderabad, India, in 2003, and the M.E. and PhD degrees in Electrical Communication Engineering from the Indian Institute of Science, Bengaluru, India, in 2005 and 2025, respectively. In June 2005, he joined Beceem Communications, which later became part of Broadcom. At Broadcom, he contributed to the development of physical layer algorithms for early 4G systems based on WiMAX and LTE, and worked there until November 2013. Since then, he has been with the Samsung R&D Institute, Bangalore, India, where he currently leads a research and development team working on 6G technologies. His research interests include physical layer algorithm design, performance evaluation of wireless communication systems, 5G and 6G systems, X-MIMO, millimetre-wave systems, and the use of AI in communications. He received the Best Paper Award from IEEE CCNC in Las Vegas, USA, in 2016, the third Best Paper Award from the IEEE World 5G Forum in 2020, and four awards from the ITU AI and ML 5G Challenge in 2022, 2023, and 2025.

Prof. Ali Kashif Bashir holds the position of Professor of Computer Networks and Cybersecurity at the Manchester Metropolitan University in the United Kingdom. He received his PhD from Korea University, South Korea in 2012. Throughout his career, Ali has presented more than 45 keynote speeches at international conferences, produced over 300 research articles, and successfully overseen multimillion-dollar projects worldwide. He was listed as IEEE Featured Author in 2021, highly cited 2% researchers by Stanford University 2021 and 2022, shortlisted for Clarivate Highly Cited award 2023.

作者簡介(中文翻譯)

Dr. Sukhdeep Singh 是三星印度研究與開發院 - 班加羅爾的總經理。在此之前,他在南韓的成均館大學獲得博士學位。他已發表超過 55 篇經過同行評審的論文,申請了超過 60 項全球專利,並共同編輯/共同撰寫了 3 本開創性書籍。Dr. Singh 獲得了多項著名榮譽,包括 2024 年 IETE B. V. Baliga 紀念獎、2024 年和 2025 年 IEEE ICC 最佳研究論文獎、15 項三星卓越獎、5 項三星年度作者獎,以及 2018 年三星最佳論文獎(銀獎),由三星 CEO 在韓國頒發。

Dr. Madhan Raj Kanagarathinam 是三星印度研究與開發院 - 班加羅爾的架構師。在此之前,他在印度理工學院馬德拉斯分校獲得博士學位。他是 30 篇文章的作者,擁有超過 140 項專利。他在 TCP/IP 協議、Multipath TCP 和 UNIX 系統的設計與開發方面擁有超過 12 年的工作經驗。他還是 2020 年 IEEE 班加羅爾年度青年技術專家的獲獎者。他是 IEEE 的高級會員,也是 ACM 的成員。

Mr. Mohan Rao GNS 是三星研究與開發班加羅爾(SRI-B)的企業副總裁兼董事總經理。在三星工作了 26 年,他主導了涵蓋多個市場和運營商的「所有世代」移動和網絡協議的研究與開發。在無線領域擁有超過 25 項專利,他獲得了多項獎項,包括兩次獲得三星電子總裁頒發的「最佳海外 R&D 員工」獎。他最近獲得了 Zinnov 的「最佳全球領導者」獎。他還在 2024 年獲得了印度成就獎的「年度首席技術官」。

Prof. Yulei Wu 是英國布里斯托大學科學與工程學院及布里斯托數位未來研究所的副教授。他於 2010 年在英國布拉德福德大學獲得計算與數學的博士學位。他已出版超過 10 本著作/編輯的專著,並在國際知名期刊和會議上發表了超過 150 篇研究論文。他的一些研究成果曾被 IEEE Network 探索文獻和 IEEE Xplore 創新聚光燈報導。

Prof. Navrati Saxena 是美國加州聖荷西州立大學(SJSU)計算機科學系的副教授。她在意大利特倫托大學獲得博士學位。她共同撰寫了一本書;申請了兩項專利,並發表了一章關於 6G 的國際書籍;在超過 90 本國際期刊和多個國際會議上發表,引用次數超過 4,000 次(Google Scholar)。她還擔任多本國際期刊的客座編輯,並在多個國際會議中擔任技術程序委員會(TPC)主席/成員。

Dr. Ashok Kumar Reddy Chavva(IEEE 高級會員)於 2003 年在印度海得拉巴的賈瓦哈拉爾·尼赫魯科技大學獲得電子與通信工程的學士學位,並於 2005 年和 2025 年在印度班加羅爾的印度科學研究所獲得電氣通信工程的碩士和博士學位。2005 年 6 月,他加入 Beceem Communications,該公司後來成為博通的一部分。在博通,他為基於 WiMAX 和 LTE 的早期 4G 系統的物理層算法開發做出了貢獻,並在那裡工作直到 2013 年 11 月。自那時起,他一直在三星研究與開發院班加羅爾工作,目前領導一個專注於 6G 技術的研究與開發團隊。他的研究興趣包括物理層算法設計、無線通信系統的性能評估、5G 和 6G 系統、X-MIMO、毫米波系統以及 AI 在通信中的應用。他於 2016 年在美國拉斯維加斯的 IEEE CCNC 獲得最佳論文獎,2020 年獲得 IEEE 世界 5G 論壇的第三最佳論文獎,以及在 2022、2023 和 2025 年獲得 ITU AI 和 ML 5G 挑戰的四項獎項。

Prof. Ali Kashif Bashir 擔任英國曼徹斯特城市大學計算機網絡與網絡安全的教授。他於 2012 年在韓國大學獲得博士學位。在他的職業生涯中,Ali 在國際會議上發表了超過 45 次主題演講,撰寫了超過 300 篇研究文章,並成功監督了全球數百萬美元的項目。他於 2021 年被列為 IEEE 特邀作者,並在 2021 和 2022 年被斯坦福大學評選為高引用 2% 研究人員,2023 年入圍 Clarivate 高引用獎。