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Data-Driven Intelligence in Wireless Networks by Muhammad Khalil Afzal,Muhammad Ateeq,Sung Won Kim Pdf
Covers details on wireless communication problems, conducive for data-driven solutions Provides a comprehensive account of programming languages, tools, techniques, and good practices Provides an introduction to data-driven techniques applied to wireless communication systems Examines data-driven techniques, performance, and design issues in wireless networks Includes several case studies that examine data-driven solution for QoS in heterogeneous wireless networks
Data-Driven Wireless Networks by Yue Gao,Zhijin Qin Pdf
This SpringerBrief discusses the applications of spare representation in wireless communications, with a particular focus on the most recent developed compressive sensing (CS) enabled approaches. With the help of sparsity property, sub-Nyquist sampling can be achieved in wideband cognitive radio networks by adopting compressive sensing, which is illustrated in this brief, and it starts with a comprehensive overview of compressive sensing principles. Subsequently, the authors present a complete framework for data-driven compressive spectrum sensing in cognitive radio networks, which guarantees robustness, low-complexity, and security. Particularly, robust compressive spectrum sensing, low-complexity compressive spectrum sensing, and secure compressive sensing based malicious user detection are proposed to address the various issues in wideband cognitive radio networks. Correspondingly, the real-world signals and data collected by experiments carried out during TV white space pilot trial enables data-driven compressive spectrum sensing. The collected data are analysed and used to verify our designs and provide significant insights on the potential of applying compressive sensing to wideband spectrum sensing. This SpringerBrief provides readers a clear picture on how to exploit the compressive sensing to process wireless signals in wideband cognitive radio networks. Students, professors, researchers, scientists, practitioners, and engineers working in the fields of compressive sensing in wireless communications will find this SpringerBrief very useful as a short reference or study guide book. Industry managers, and government research agency employees also working in the fields of compressive sensing in wireless communications will find this SpringerBrief useful as well.
Machine Learning and Wireless Communications by Yonina C. Eldar,Andrea Goldsmith,Deniz Gündüz,H. Vincent Poor Pdf
How can machine learning help the design of future communication networks – and how can future networks meet the demands of emerging machine learning applications? Discover the interactions between two of the most transformative and impactful technologies of our age in this comprehensive book. First, learn how modern machine learning techniques, such as deep neural networks, can transform how we design and optimize future communication networks. Accessible introductions to concepts and tools are accompanied by numerous real-world examples, showing you how these techniques can be used to tackle longstanding problems. Next, explore the design of wireless networks as platforms for machine learning applications – an overview of modern machine learning techniques and communication protocols will help you to understand the challenges, while new methods and design approaches will be presented to handle wireless channel impairments such as noise and interference, to meet the demands of emerging machine learning applications at the wireless edge.
QoE Management in Wireless Networks by Ying Wang,Wen'an Zhou,Ping Zhang Pdf
This SpringerBrief presents research results on QoE management schemes for mobile services, including user services, and resource allocation. Along with a review of the research literature, it offers a data-driven architecture for personalized QoE management in wireless networks. The primary focus is on introducing efficient personalized character extraction mechanisms, e.g., context-aware Bayesian graph model, and cooperative QoE management mechanisms. Moreover, in order to demonstrate in the effectiveness of the QoE model, a QoE measurement platform is described and its collected data examined. The brief concludes with a discussion of future research directions. The example mechanisms and the data-driven architecture provide useful insights into the designs of QoE management, and motivate a new line of thinking for users' satisfaction in future wireless networks.
Mobility Management in Wireless Networks by Karen Q. Tian,Donald C. Cox Pdf
In wireless communication systems, the network keeps track of a user’s location through an up-to-date user profile stored in various databases. A user profile contains not only a user’s current location information, but also service information, such as billing and authentication. The cov- age area of an access network is divided into registration areas (RAs), and each RA is associated with a location database. The two basic op- ations in mobility management are location update and location lookup. When a user moves across the boundaries of these RAs, the network updates his location information in the pertinent databases. When a caller places a call using the callee’s identification, the network queries the relevant database(s) to obtain the current location and other service information of the callee. The performance of mobility management can be further enhanced by using replicas of user profiles which may be kept at various locations. Replication techniques make profile information more readily available, thus reducing lookup cost and latency, but to keep these replicas c- sistent and fresh, they must be updated whenever the user profile is updated. The principle of replication is to replicate if the benefit of replication is greater than its overhead. The difficulty, however, lies in accurately measuring the benefit and overhead.
Data Driven Approach Towards Disruptive Technologies by T P Singh,Ravi Tomar,Tanupriya Choudhury,Thinagaran Perumal,Hussain Falih Mahdi Pdf
This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, India, during 4–5 September 2020. The book addresses the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like data-driven industrial IoT, bioinformatics, network and security, autonomous computing and various other aligned areas. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber-physical system and smart agriculture. All papers have been carefully reviewed. The book is of interest to computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.
Localization in Wireless Networks by Jessica Feng Sanford,Miodrag Potkonjak,Sasha Slijepcevic Pdf
In a computational tour-de-force, this volume wipes away a host of problems related to location discovery in wireless ad-hoc sensor networks. WASNs have recognized potential in many applications that are location-dependent, yet are heavily constrained by factors such as cost and energy consumption. Their “ad-hoc” nature, with direct rather than mediated connections between a network of wireless devices, adds another layer of difficulty. Basing this work entirely on data-driven, coordinated algorithms, the author’s aim is to present location discovery techniques that are highly accurate—and which fit user criteria. The research deploys nonparametric statistical methods and relies on the concept of joint probability to construct error (including location error) models and environmental field models. It also addresses system issues such as the broadcast and scheduling of the beacon. Reporting an impressive accuracy gain of almost 17 percent, and organized in a clear, sequential manner, this book represents a stride forward in wireless localization.
Data Communication Principles for Fixed and Wireless Networks focuses on the physical and data link layers. Included are examples that apply to a diversified range of higher level protocols such as TCP/IP, OSI and packet based wireless networks. Performance modeling is introduced for beginners requiring basic mathematics. Separate discussion has been included on wireless cellular networks performance and on the simulation of networks. Throughout the book, wireless LANS has been given the same level of treatment as fixed network protocols. It is assumed that readers would be familiar with basic mathematics and have some knowledge of binary number systems. Data Communication Principles for Fixed and Wireless Networks is for students at the senior undergraduate and first year graduate levels. It can also be used as a reference work for professionals working in the areas of data networks, computer networks and internet protocols.
Cognitive Radio-Oriented Wireless Networks by Giuseppe Caso,Luca De Nardis,Liljana Gavrilovska Pdf
This book constitutes the refereed proceedings of the 15th International Conference on Cognitive Radio-Oriented Wireless Networks, CROWNCOM 2020, held in Rome, Italy, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 13 revised full papers were selected from 28 submissions and present all major technical aspects related to cognitive radio and networks. The papers are organized in four sessions: spectrum sensing and environment awareness; resource sharing and optimization; verticals and applications; business models and spectrum management.
IP-Based Next-Generation Wireless Networks by Jyh-Cheng Chen,Tao Zhang Pdf
An ideal starting point for anyone wanting to learn about nextgeneration wireless networks Gives important insights into the design of wireless IPnetworks Illustrates the standards and network architectures defined byleading standards bodies (including MWIF, 3GPP and 3GPP2) Discusses protocols in four key areas: signaling, mobility,quality of service, and security The authors have a good deal of experience in this field, andhave many patents pending in the area of wireless networking
Wireless and Mobile Data Networks by Aftab Ahmad Pdf
Wireless and Mobile Data Networks provides a single point of knowledge about wireless data technologies, including: * Comprehensive easy-to understand resource on wireless data technologies * Includes wireless media, data transmission via cellular networks, and network security * Provides a single point of knowledge about wireless data * Focuses on wireless data networks, wireless channels, wireless local networks, wide area cellular networks and wireless network security An Instructor Support FTP site is available from the Wiley editorial department.
Principles of Wireless Networks by Kaveh Pahlavan,Prashant Krishnamurthy Pdf
A unified foundation for understanding and building any wireless network. A true systems approach to wireless networking Air interference design and network operation Planning, mobility management, radio resources, power management, and security 3G, WLANs, HIPERLAN, WATM, Bluetooth, WPAN, OFDM, UWB, wireless geolocation, and more This is the first book to present a unified common foundation for understanding and building any contemporary wireless network, voice or data-- from PCS to wireless LANs, Bluetooth to IMT-2000 3G. Using extensive practical examples, Kaveh Pahlavan and Prashant Krishnamurthy present a true systems approach, illuminating the principles, commonalities, key differences, and specific implementation issues associated with virtually every leading wireless system. Coverage includes: Air interference design: wireless medium characteristics, media access, and an exceptionally thorough discussion of physical layer issues Wireless network operation: planning, mobility management, radio resources, power management, and security Implementation of cellular telephone and mobile data networks based on CDMA, TDMA, and GSM Key wideband local access technologies: IEEE 802.11 WLANs, HIPERLAN, and connection-based voice-oriented WATM Emerging OFDM and Ultrawideband (UWB) technologies Ad hoc networking, Bluetooth, and WPAN Wireless geolocation and indoor positioning techniques and systems The most detailed discussions of channel characteristics and deployment tools available in any book Whether you're an electrical engineer, telecommunications/networkingspecialist, or software professional, "Principles of Wireless Networks" brings together the insights and techniques you need to begin building any wireless system.
Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks by Sherin Zafar,Mohd Abdul Ahad,Syed Imran Ali,Deepa Mehta,M. Afshar Alam Pdf
SMART AND SUSTAINABLE APPROACHES FOR OPTIMIZING PERFORMANCE OF WIRELESS NETWORK Explores the intersection of sustainable growth, green computing and automation, and performance optimization of 5G wireless networks Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks explores how wireless sensing applications, green computing, and Big Data analytics can increase the energy efficiency and environmental sustainability of real-time applications across areas such as healthcare, agriculture, construction, and manufacturing. Bringing together an international team of expert contributors, this authoritative volume highlights the limitations of conventional technologies and provides methodologies and approaches for addressing Quality of Service (QOS) issues and optimizing network performance. In-depth chapters cover topics including blockchain-assisted secure data sharing, smart 5G Internet of Things (IoT) scenarios, intelligent management of ad hoc networks, and the use of Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL) techniques in smart healthcare, smart manufacturing, and smart agriculture. Covers design, implementation, optimization, and sustainability of wireless and sensor-based networks Discusses concepts of sustainability and green computing as well as their relevance to society and the environment Addresses green automation applications in various disciplines such as computer science, nanoscience, information technology (IT), and biochemistry Explores various smart and sustainable approaches for current wireless and sensor-based networks Includes detailed case studies of current methodologies, applications, and implementations Smart and Sustainable Approaches for Optimizing Performance of Wireless Networks: Real-time Applications is an essential resource for academic researchers and industry professionals working to integrate sustainable development and Information and Communications Technology (ICT).
