Mining Over Air Wireless Communication Networks Analytics

Author : Ye Ouyang,Mantian Hu,Alexis Huet,Zhongyuan Li
Publisher : Springer
Page : 196 pages
File Size : 41,8 Mb
Release : 2018-07-27
Category : Computers
ISBN : 9783319923123

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Mining Over Air: Wireless Communication Networks Analytics by Ye Ouyang,Mantian Hu,Alexis Huet,Zhongyuan Li Pdf

This book introduces the concepts, applications and development of data science in the telecommunications industry by focusing on advanced machine learning and data mining methodologies in the wireless networks domain. Mining Over Air describes the problems and their solutions for wireless network performance and quality, device quality readiness and returns analytics, wireless resource usage profiling, network traffic anomaly detection, intelligence-based self-organizing networks, telecom marketing, social influence, and other important applications in the telecom industry. Written by authors who study big data analytics in wireless networks and telecommunication markets from both industrial and academic perspectives, the book targets the pain points in telecommunication networks and markets through big data. Designed for both practitioners and researchers, the book explores the intersection between the development of new engineering technology and uses data from the industry to understand consumer behavior. It combines engineering savvy with insights about human behavior. Engineers will understand how the data generated from the technology can be used to understand the consumer behavior and social scientists will get a better understanding of the data generation process.

Author : Bhatt, Chintan,Kumar, Neeraj,Bashir, Ali Kashif,Alazab, Mamoun
Publisher : IGI Global
Page : 227 pages
File Size : 51,8 Mb
Release : 2021-08-13
Category : Technology & Engineering
ISBN : 9781799869900

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Implementing Data Analytics and Architectures for Next Generation Wireless Communications by Bhatt, Chintan,Kumar, Neeraj,Bashir, Ali Kashif,Alazab, Mamoun Pdf

Wireless communication is continuously evolving to improve and be a part of our daily communication. This leads to improved quality of services and applications supported by networking technologies. We are now able to use LTE, LTE-Advanced, and other emerging technologies due to the enormous efforts that are made to improve the quality of service in cellular networks. As the future of networking is uncertain, the use of deep learning and big data analytics is a point of focus as it can work in many capacities at a variety of levels for wireless communications. Implementing Data Analytics and Architectures for Next Generation Wireless Communications addresses the existing and emerging theoretical and practical challenges in the design, development, and implementation of big data algorithms, protocols, architectures, and applications for next generation wireless communications and their applications in smart cities. The chapters of this book bring together academics and industrial practitioners to exchange, discuss, and implement the latest innovations and applications of data analytics in advanced networks. Specific topics covered include key encryption techniques, smart home appliances, fog communication networks, and security in the internet of things. This book is valuable for technologists, data analysts, networking experts, practitioners, researchers, academicians, and students.

Author : L. K. Bandyopadhyay,S. K. Chaulya,P. K. Mishra
Publisher : Springer
Page : 477 pages
File Size : 50,7 Mb
Release : 2009-09-17
Category : Technology & Engineering
ISBN : 0387981640

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Wireless Communication in Underground Mines by L. K. Bandyopadhyay,S. K. Chaulya,P. K. Mishra Pdf

Wireless communication has emerged as an independent discipline in the past decades. Everything from cellular voice telephony to wireless data transmission using wireless sensor networks has profoundly impacted the safety, production, and productivity of industries and our lifestyle as well. After a decade of exponential growth, the wireless industry is one of the largest industries in the world. Therefore, it would be an injustice if the wireless communication is not explored for mining industry. Underground mines, which are characterized by their tough working conditions and hazardous environments, require fool-proof mine-wide communication systems for smooth functioning of mine workings and ensuring better safety. Proper and re- able communication systems not only save the machine breakdown time but also help in immediate passing of messages from the vicinity of underground working area to the surface for day-to-day normal mining operations as well as for speedy rescue operations in case of disaster. Therefore, a reliable and effective commu- cation system is an essential requisite for safe working, and maintaining requisite production and productivity of underground mines. Most of the existing systems generally available in underground mines are based on line (wired) communication principle, hence these are unable to withstand in the disaster conditions and dif?cult to deploy in inaccessible places. Therefore, wireless communication is an indispe- able, reliable, and convenient system and essential in case of day-to-day normal duty or disaster situations.

Author : Sanjoy Das,Ram Shringar Rao,Indrani Das,Vishal Jain,Nanhay Singh
Publisher : CRC Press
Page : 300 pages
File Size : 41,6 Mb
Release : 2022-03-21
Category : Technology & Engineering
ISBN : 9781000539493

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Cloud Computing Enabled Big-Data Analytics in Wireless Ad-hoc Networks by Sanjoy Das,Ram Shringar Rao,Indrani Das,Vishal Jain,Nanhay Singh Pdf

This book discusses intelligent computing through the Internet of Things (IoT) and Big-Data in vehicular environments in a single volume. It covers important topics, such as topology-based routing protocols, heterogeneous wireless networks, security risks, software-defined vehicular ad-hoc networks, vehicular delay tolerant networks, and energy harvesting for WSNs using rectenna. FEATURES Covers applications of IoT in Vehicular Ad-hoc Networks (VANETs) Discusses use of machine learning and other computing techniques for enhancing performance of networks Explains game theory-based vertical handoffs in heterogeneous wireless networks Examines monitoring and surveillance of vehicles through the vehicular sensor network Investigates theoretical approaches on software-defined VANET The book is aimed at graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer science, and engineering.

Author : Com?a, Ioan-Sorin,Trestian, Ramona
Publisher : IGI Global
Page : 356 pages
File Size : 41,6 Mb
Release : 2019-01-25
Category : Technology & Engineering
ISBN : 9781522574590

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Next-Generation Wireless Networks Meet Advanced Machine Learning Applications by Com?a, Ioan-Sorin,Trestian, Ramona Pdf

The ever-evolving wireless technology industry is demanding new technologies and standards to ensure a higher quality of experience for global end-users. This developing challenge has enabled researchers to identify the present trend of machine learning as a possible solution, but will it meet business velocity demand? Next-Generation Wireless Networks Meet Advanced Machine Learning Applications is a pivotal reference source that provides emerging trends and insights into various technologies of next-generation wireless networks to enable the dynamic optimization of system configuration and applications within the fields of wireless networks, broadband networks, and wireless communication. Featuring coverage on a broad range of topics such as machine learning, hybrid network environments, wireless communications, and the internet of things; this publication is ideally designed for industry experts, researchers, students, academicians, and practitioners seeking current research on various technologies of next-generation wireless networks.

Author : Muhammad Khalil Afzal,Muhammad Ateeq,Sung Won Kim
Publisher : CRC Press
Page : 405 pages
File Size : 45,9 Mb
Release : 2023-03-27
Category : Computers
ISBN : 9781000841442

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Data-Driven Intelligence in Wireless Networks by Muhammad Khalil Afzal,Muhammad Ateeq,Sung Won Kim Pdf

This book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep learning, federated learning, and artificial intelligence. This book details wireless communication problems that can be solved by data-driven solutions. It presents a generalized approach toward solving problems using specific data-driven techniques. The book also develops a taxonomy of problems according to the type of solution presented and includes several case studies that examine data-driven solutions for issues such as quality of service (QoS) in heterogeneous wireless networks, 5G/6G networks, and security in wireless networks. The target audience of this book includes professionals, researchers, professors, and students working in the field of networking, communications, machine learning, and related fields.

Author : Deepak Kakadia,Jin Yang,Alexander Gilgur
Publisher : Springer
Page : 204 pages
File Size : 45,8 Mb
Release : 2017-09-27
Category : Technology & Engineering
ISBN : 9788132237211

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Network Performance and Fault Analytics for LTE Wireless Service Providers by Deepak Kakadia,Jin Yang,Alexander Gilgur Pdf

This book is intended to describe how to leverage emerging technologies big data analytics and SDN, to address challenges specific to LTE and IP network performance and fault management data in order to more efficiently manage and operate an LTE wireless networks. The proposed integrated solutions permit the LTE network service provider to operate entire integrated network, from RAN to Core , from UE to application service, as one unified system and correspondingly collect and align disparate key metrics and data, using an integrated and holistic approach to network analysis. The LTE wireless network performance and fault involves the network performance and management of network elements in EUTRAN, EPC and IP transport components, not only as individual components, but also as nuances of inter-working of these components. The key metrics for EUTRAN include radio access network accessibility, retainability, integrity, availability and mobility. The key metrics for EPC include MME accessibility, mobility and capacity, SGW, PGW capacity and connectivity. In the first parts of the book, the authors describe fundamental analytics techniques, and various key network partitions - RAN, Backhaul, Metro and Core of a typical LTE Wireless Service Provider Network. The second part of the book develops more advanced analytic techniques that can be used to solve complex wireless network problems. The second part of this book also describes practical and novel solutions for LTE service network performance and fault management systems using big data engineering. Self-organizing network (SON) architecture is presented as a way to utilize network performance and fault analytics to enable network automation. SON can significantly improve operational efficiencies and speed up network deployment. This book provides various ways to leverage data science to more intelligently and reliably to automate and manage a wireless network. The contents of the book should be useful to professional engineers and networking experts involved in LTE network operations and management. The content will also be of interest to researchers, academic and corporate, interested in the developments in fault analytics in LTE networks.

Author : K. Suganthi,R. Karthik,G. Rajesh,Peter Ho Chiung Ching
Publisher : CRC Press
Page : 270 pages
File Size : 49,8 Mb
Release : 2021-09-14
Category : Technology & Engineering
ISBN : 9781000441857

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Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems by K. Suganthi,R. Karthik,G. Rajesh,Peter Ho Chiung Ching Pdf

This book offers the latest advances and results in the fields of Machine Learning and Deep Learning for Wireless Communication and provides positive and critical discussions on the challenges and prospects. It provides a broad spectrum in understanding the improvements in Machine Learning and Deep Learning that are motivating by the specific constraints posed by wireless networking systems. The book offers an extensive overview on intelligent Wireless Communication systems and its underlying technologies, research challenges, solutions, and case studies. It provides information on intelligent wireless communication systems and its models, algorithms and applications. The book is written as a reference that offers the latest technologies and research results to various industry problems.

Author : Jia-Chin Lin
Publisher : BoD – Books on Demand
Page : 470 pages
File Size : 48,9 Mb
Release : 2011-08-23
Category : Computers
ISBN : 9789533072746

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Recent Advances in Wireless Communications and Networks by Jia-Chin Lin Pdf

This book focuses on the current hottest issues from the lowest layers to the upper layers of wireless communication networks and provides "real-time" research progress on these issues. The authors have made every effort to systematically organize the information on these topics to make it easily accessible to readers of any level. This book also maintains the balance between current research results and their theoretical support. In this book, a variety of novel techniques in wireless communications and networks are investigated. The authors attempt to present these topics in detail. Insightful and reader-friendly descriptions are presented to nourish readers of any level, from practicing and knowledgeable communication engineers to beginning or professional researchers. All interested readers can easily find noteworthy materials in much greater detail than in previous publications and in the references cited in these chapters.

Author : L. K. Bandyopadhyay,S. K. Chaulya,P. K. Mishra
Publisher : Springer Science & Business Media
Page : 500 pages
File Size : 47,6 Mb
Release : 2009-08-29
Category : Technology & Engineering
ISBN : 9780387981659

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Wireless Communication in Underground Mines by L. K. Bandyopadhyay,S. K. Chaulya,P. K. Mishra Pdf

Wireless communication has emerged as an independent discipline in the past decades. Everything from cellular voice telephony to wireless data transmission using wireless sensor networks has profoundly impacted the safety, production, and productivity of industries and our lifestyle as well. After a decade of exponential growth, the wireless industry is one of the largest industries in the world. Therefore, it would be an injustice if the wireless communication is not explored for mining industry. Underground mines, which are characterized by their tough working conditions and hazardous environments, require fool-proof mine-wide communication systems for smooth functioning of mine workings and ensuring better safety. Proper and re- able communication systems not only save the machine breakdown time but also help in immediate passing of messages from the vicinity of underground working area to the surface for day-to-day normal mining operations as well as for speedy rescue operations in case of disaster. Therefore, a reliable and effective commu- cation system is an essential requisite for safe working, and maintaining requisite production and productivity of underground mines. Most of the existing systems generally available in underground mines are based on line (wired) communication principle, hence these are unable to withstand in the disaster conditions and dif?cult to deploy in inaccessible places. Therefore, wireless communication is an indispe- able, reliable, and convenient system and essential in case of day-to-day normal duty or disaster situations.

Author : Songlin Sun,Tao Hong,Peng Yu,Jiaqi Zou
Publisher : Springer Nature
Page : 1294 pages
File Size : 51,7 Mb
Release : 2022-10-12
Category : Technology & Engineering
ISBN : 9789811947759

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Signal and Information Processing, Networking and Computers by Songlin Sun,Tao Hong,Peng Yu,Jiaqi Zou Pdf

This book collects selected papers from the 9th Conference on Signal and Information Processing, Networking and Computers held online, in December, 2021. The book focuses on the current works of information theory, communication system, computer science, aerospace technologies, big data and other related technologies. Readers from both academia and industry of this field can contribute and find their interests from the book.

Author : Aboul Ella Hassanien,Ashraf Darwish
Publisher : Springer Nature
Page : 648 pages
File Size : 53,7 Mb
Release : 2020-12-14
Category : Computers
ISBN : 9783030593384

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Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges by Aboul Ella Hassanien,Ashraf Darwish Pdf

This book is intended to present the state of the art in research on machine learning and big data analytics. The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data. It is a valuable resource for researchers in the area of big data analytics and its applications.

Author : Alessandro Andreadis,Giovanni Giambene
Publisher : Springer Science & Business Media
Page : 291 pages
File Size : 41,5 Mb
Release : 2003
Category : Business & Economics
ISBN : 9781402073267

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Protocols for High-Efficiency Wireless Networks by Alessandro Andreadis,Giovanni Giambene Pdf

This invaluable reference book focuses on the air interface of mobile networks at different layers according to the OSI Reference Model. It provides an overview of several wireless communication systems as well as mobile satellite systems, followed by detailed analysis of radio resource management issues.

Author : João Manuel R. S. Tavares,Joel J. P. C. Rodrigues,Debajyoti Misra,Debasmriti Bhattacherjee
Publisher : Springer Nature
Page : 813 pages
File Size : 50,5 Mb
Release : 2024-01-02
Category : Technology & Engineering
ISBN : 9789819954353

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Data Science and Communication by João Manuel R. S. Tavares,Joel J. P. C. Rodrigues,Debajyoti Misra,Debasmriti Bhattacherjee Pdf

The book presents selected papers from the International Conference on Data Science and Communication (ICTDsC 2023) organized by the Department of Electronics and Communication Engineering and Department of Engineering Science and Humanities (DESH) Siliguri Institute of Technology, India during 23 – 24 March 2023 in Siliguri, India. The book covers state-of-the-art research insights on artificial intelligence, machine learning, big data, data analytics, cyber security and forensic, network and mobile security, advanced computing, cloud computing, quantum computing, electronics system, Internet of Things, robotics and automations, blockchain and software technology, and digital technologies for future.

Author : Anonim
Publisher : Unknown
Page : 640 pages
File Size : 46,5 Mb
Release : 1977
Category : Electronic
ISBN : MINN:31951000869485Y

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ERDA Energy Research Abstracts by Anonim Pdf