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Author : Wang Yantong Wang
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (131 download)
Download or read book Proactive Caching in Mobile Edge Networks written by Wang Yantong Wang and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yan Zhang
Publisher : Springer Nature
ISBN 13 : 3030839443
Total Pages : 123 pages
Book Rating : 4.0/5 (38 download)
Download or read book Mobile Edge Computing written by Yan Zhang and published by Springer Nature. This book was released on 2021-10-01 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is an open access book. It offers comprehensive, self-contained knowledge on Mobile Edge Computing (MEC), which is a very promising technology for achieving intelligence in the next-generation wireless communications and computing networks.The book starts with the basic concepts, key techniques and network architectures of MEC. Then, we present the wide applications of MEC, including edge caching, 6G networks, Internet of Vehicles, and UAVs. In the last part, we present new opportunities when MEC meets blockchain, Artificial Intelligence, and distributed machine learning (e.g., federated learning). We also identify the emerging applications of MEC in pandemic, industrial Internet of Things and disaster management.The book allows an easy cross-reference owing to the broad coverage on both the principle and applications of MEC. The book is written for people interested in communications and computer networks at all levels. The primary audience includes senior undergraduates, postgraduates, educators, scientists, researchers, developers, engineers, innovators and research strategists.
Author : Thang X. Vu
Publisher : Cambridge University Press
ISBN 13 : 1108480837
Total Pages : 431 pages
Book Rating : 4.1/5 (84 download)
Download or read book Wireless Edge Caching written by Thang X. Vu and published by Cambridge University Press. This book was released on 2021-03-11 with total page 431 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the latest research results for both uncoded and coded caching techniques in future wireless network design.
Author : Wei Chen
Publisher : IET
ISBN 13 : 1839531223
Total Pages : 789 pages
Book Rating : 4.8/5 (395 download)
Download or read book Edge Caching for Mobile Networks written by Wei Chen and published by IET. This book was released on 2021-12-22 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this comprehensive edited book, the authors introduce edge caching from a theoretical perspective and discuss its role in saving bandwidth. Many physical layer models and techniques, including interference alignment and beamforming, are considered as well as recent advances in intelligent and proactive communication systems.
Author : Gao Zheng
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (112 download)
Download or read book Proactive Caching in Mobile Networks written by Gao Zheng and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Fa-Long Luo
Publisher : John Wiley & Sons
ISBN 13 : 1119562252
Total Pages : 490 pages
Book Rating : 4.1/5 (195 download)
Download or read book Machine Learning for Future Wireless Communications written by Fa-Long Luo and published by John Wiley & Sons. This book was released on 2020-02-10 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in wireless communications and networks imposed by the increasing demands in terms of capacity, coverage, latency, efficiency flexibility, compatibility, quality of experience and silicon convergence. The author – a noted expert on the topic – covers a wide range of topics including system architecture and optimization, physical-layer and cross-layer processing, air interface and protocol design, beamforming and antenna configuration, network coding and slicing, cell acquisition and handover, scheduling and rate adaption, radio access control, smart proactive caching and adaptive resource allocations. Uniquely organized into three categories: Spectrum Intelligence, Transmission Intelligence and Network Intelligence, this important resource: Offers a comprehensive review of the theory, applications and current developments of machine learning for wireless communications and networks Covers a range of topics from architecture and optimization to adaptive resource allocations Reviews state-of-the-art machine learning based solutions for network coverage Includes an overview of the applications of machine learning algorithms in future wireless networks Explores flexible backhaul and front-haul, cross-layer optimization and coding, full-duplex radio, digital front-end (DFE) and radio-frequency (RF) processing Written for professional engineers, researchers, scientists, manufacturers, network operators, software developers and graduate students, Machine Learning for Future Wireless Communications presents in 21 chapters a comprehensive review of the topic authored by an expert in the field.
Author : Qiang Yang
Publisher : Springer Nature
ISBN 13 : 3030630765
Total Pages : 291 pages
Book Rating : 4.0/5 (36 download)
Download or read book Federated Learning written by Qiang Yang and published by Springer Nature. This book was released on 2020-11-25 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated learning model against different types of attacks such as data leakage and/or data poisoning. Secondly, the book presents incentive mechanisms which aim to encourage individuals to participate in the federated learning ecosystems. Last but not least, this book also describes how federated learning can be applied in industry and business to address data silo and privacy-preserving problems. The book is intended for readers from both the academia and the industry, who would like to learn about federated learning, practice its implementation, and apply it in their own business. Readers are expected to have some basic understanding of linear algebra, calculus, and neural network. Additionally, domain knowledge in FinTech and marketing would be helpful.”
Author : Shlomo Shamai (Shitz)
Publisher : MDPI
ISBN 13 : 3039438174
Total Pages : 294 pages
Book Rating : 4.0/5 (394 download)
Download or read book Information Theory for Data Communications and Processing written by Shlomo Shamai (Shitz) and published by MDPI. This book was released on 2021-01-13 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern, current, and future communications/processing aspects motivate basic information-theoretic research for a wide variety of systems for which we do not have the ultimate theoretical solutions (for example, a variety of problems in network information theory as the broadcast/interference and relay channels, which mostly remain unsolved in terms of determining capacity regions and the like). Technologies such as 5/6G cellular communications, Internet of Things (IoT), and mobile edge networks, among others, not only require reliable rates of information measured by the relevant capacity and capacity regions, but are also subject to issues such as latency vs. reliability, availability of system state information, priority of information, secrecy demands, energy consumption per mobile equipment, sharing of communications resources (time/frequency/space), etc. This book, composed of a collection of papers that have appeared in the Special Issue of the Entropy journal dedicated to “Information Theory for Data Communications and Processing”, reflects, in its eleven chapters, novel contributions based on the firm basic grounds of information theory. The book chapters address timely theoretical and practical aspects that constitute both interesting and relevant theoretical contributions, as well as direct implications for modern current and future communications systems.
Author : Debahuti Mishra
Publisher : Springer Nature
ISBN 13 : 9811559716
Total Pages : 834 pages
Book Rating : 4.8/5 (115 download)
Download or read book Intelligent and Cloud Computing written by Debahuti Mishra and published by Springer Nature. This book was released on 2020-10-30 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on December 20, 2019. Including contributions on system and network design that can support existing and future applications and services, it covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.
Author : Zhu Han
Publisher : Cambridge University Press
ISBN 13 : 1108417337
Total Pages : 509 pages
Book Rating : 4.1/5 (84 download)
Download or read book Game Theory for Next Generation Wireless and Communication Networks written by Zhu Han and published by Cambridge University Press. This book was released on 2019-06-27 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: A unified treatment of the latest game theoretic approaches for designing, modeling, and optimizing emerging wireless communication networks. Covering theory, analytical tools, and applications, it is ideal for researchers and graduate students in academia and industry designing efficient, scalable and robust protocols for future wireless networks.
Author : IEEE Staff
Publisher :
ISBN 13 : 9781728142005
Total Pages : pages
Book Rating : 4.1/5 (42 download)
Download or read book 2020 International Conference on Information Networking (ICOIN) written by IEEE Staff and published by . This book was released on 2020-01-07 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Ad hoc networks, sensor networks, RFID, cellular networks, cloud computing, CDN, CCN ICN, DTN, Future Internet, Internet, IoT M2M, Multimedia communications, Security, Optical Networks, WBAN WPAN WLAN WMAN WWAN, Social Networks, etc
Author : Tony Q. S. Quek
Publisher : Cambridge University Press
ISBN 13 : 1107142660
Total Pages : 499 pages
Book Rating : 4.1/5 (71 download)
Download or read book Cloud Radio Access Networks written by Tony Q. S. Quek and published by Cambridge University Press. This book was released on 2017-02-02 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book on Cloud Radio Access Networks (C-RANs), covering fundamental theory, current techniques, and potential applications.
Author : Yu-Kwong Ricky Kwok
Publisher : John Wiley & Sons
ISBN 13 : 0470167955
Total Pages : 772 pages
Book Rating : 4.4/5 (71 download)
Download or read book Wireless Internet and Mobile Computing written by Yu-Kwong Ricky Kwok and published by John Wiley & Sons. This book was released on 2007-08-24 with total page 772 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the technologies involved in all aspects of a large networking system and how the various devices can interact and communicate with each other. Using a bottom up approach the authors demonstrate how it is feasible, for instance, for a cellular device user to communicate, via the all-purpose TCP/IP protocols, with a wireless notebook computer user, traversing all the way through a base station in a cellular wireless network (e.g., GSM, CDMA), a public switched network (PSTN), the Internet, an intranet, a local area network (LAN), and a wireless LAN access point. The information bits, in travelling through this long path, are processed by numerous disparate communication technologies. The authors also describe the technologies involved in infrastructure less wireless networks.
Author : Honghao Gao
Publisher : Springer Nature
ISBN 13 : 3030677206
Total Pages : 789 pages
Book Rating : 4.0/5 (36 download)
Download or read book Communications and Networking written by Honghao Gao and published by Springer Nature. This book was released on 2021-02-01 with total page 789 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings constitutes the refereed proceedings of the 15th EAI International Conference on Communications and Networking, ChinaCom 2020, held in November 2020 in Shanghai, China. Due to COVID-19 pandemic the conference was held virtually. The 54 papers presented were carefully selected from 143 submissions. The papers are organized in topical sections on Transmission Optimization in Edge Computing; Performance and Scheduling Optimization in Edge Computing; Mobile Edge Network System; Communication Routing and Control; Transmission and Load Balancing; Edge Computing and Distributed Machine Learning; Deep Learning.
Author : Rafael F. Schaefer
Publisher : Cambridge University Press
ISBN 13 : 1107132266
Total Pages : 581 pages
Book Rating : 4.1/5 (71 download)
Download or read book Information Theoretic Security and Privacy of Information Systems written by Rafael F. Schaefer and published by Cambridge University Press. This book was released on 2017-06-16 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how information theoretic approaches can inform the design of more secure information systems and networks with this expert guide. Covering theoretical models, analytical results, and the state of the art in research, it will be of interest to researchers, graduate students, and practitioners working in communications engineering.
Author : Xiaofei Wang
Publisher : Springer Nature
ISBN 13 : 9811561869
Total Pages : 156 pages
Book Rating : 4.8/5 (115 download)
Download or read book Edge AI written by Xiaofei Wang and published by Springer Nature. This book was released on 2020-08-31 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.
Author : Sachi Nandan Mohanty
Publisher : John Wiley & Sons
ISBN 13 : 1119785855
Total Pages : 528 pages
Book Rating : 4.1/5 (197 download)
Download or read book Machine Learning Approach for Cloud Data Analytics in IoT written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2021-07-14 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.
