Distributed Strategic Learning for Wireless Engineers

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Publisher : CRC Press
ISBN 13 : 1439876444
Total Pages : 496 pages
Book Rating : 4.4/5 (398 download)

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Book Synopsis Distributed Strategic Learning for Wireless Engineers by : Hamidou Tembine

Download or read book Distributed Strategic Learning for Wireless Engineers written by Hamidou Tembine and published by CRC Press. This book was released on 2018-10-08 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although valued for its ability to allow teams to collaborate and foster coalitional behaviors among the participants, game theory’s application to networking systems is not without challenges. Distributed Strategic Learning for Wireless Engineers illuminates the promise of learning in dynamic games as a tool for analyzing network evolution and underlines the potential pitfalls and difficulties likely to be encountered. Establishing the link between several theories, this book demonstrates what is needed to learn strategic interaction in wireless networks under uncertainty, randomness, and time delays. It addresses questions such as: How much information is enough for effective distributed decision making? Is having more information always useful in terms of system performance? What are the individual learning performance bounds under outdated and imperfect measurement? What are the possible dynamics and outcomes if the players adopt different learning patterns? If convergence occurs, what is the convergence time of heterogeneous learning? What are the issues of hybrid learning? How can one develop fast and efficient learning schemes in scenarios where some players have more information than the others? What is the impact of risk-sensitivity in strategic learning systems? How can one construct learning schemes in a dynamic environment in which one of the players do not observe a numerical value of its own-payoffs but only a signal of it? How can one learn "unstable" equilibria and global optima in a fully distributed manner? The book provides an explicit description of how players attempt to learn over time about the game and about the behavior of others. It focuses on finite and infinite systems, where the interplay among the individual adjustments undertaken by the different players generates different learning dynamics, heterogeneous learning, risk-sensitive learning, and hybrid dynamics.

Mean-Field-Type Games for Engineers

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Publisher : CRC Press
ISBN 13 : 1000473538
Total Pages : 526 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Mean-Field-Type Games for Engineers by : Julian Barreiro-Gomez

Download or read book Mean-Field-Type Games for Engineers written by Julian Barreiro-Gomez and published by CRC Press. This book was released on 2021-11-18 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: The contents of this book comprise an appropriate background to start working and doing research on mean-field-type control and game theory. To make the exposition and explanation even easier, we first study the deterministic optimal control and differential linear-quadratic games. Then, we progressively add complexity step-by-step and little-by-little to the problem settings until we finally study and analyze mean-field-type control and game problems incorporating several stochastic processes, e.g., Brownian motions, Poisson jumps, and random coefficients. We go beyond the Nash equilibrium, which provides a solution for non- cooperative games, by analyzing other game-theoretical concepts such as the Berge, Stackelberg, adversarial/robust, and co-opetitive equilibria. For the mean-field-type game analysis, we provide several numerical examples using a Matlab-based user-friendly toolbox that is available for the free use to the readers of this book. We present several engineering applications in both continuous and discrete time. Among these applications we find the following: water distribution systems, micro-grid energy storage, stirred tank reactor, mechanism design for evolutionary dynamics, multi-level building evacuation problem, and the COVID-19 propagation control. Julian Barreiro-Gomez Hamidou Tembine With such a demand from engineering audiences, this book is very timely and provides a thorough study of mean-field-type game theory. The strenuous protagonist of this book is to bridge between the theoretical findings and engineering solutions. The book introduces the basics first, and then mathematical frameworks are elaborately explained. The engineering application examples are shown in detail, and the popular learning approaches are also investigated. Those advantageous characteristics will make this book a comprehensive handbook of many engineering fields for many years, and I will buy one when it gets published. Zhu Han

Advances in Ubiquitous Networking

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Publisher : Springer
ISBN 13 : 9812879900
Total Pages : 572 pages
Book Rating : 4.8/5 (128 download)

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Book Synopsis Advances in Ubiquitous Networking by : Essaïd Sabir

Download or read book Advances in Ubiquitous Networking written by Essaïd Sabir and published by Springer. This book was released on 2016-02-02 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume publishes new trends and findings in hot topics related to ubiquitous computing/networking. It is the outcome of UNet - ainternational scientific event that took place on September 08-10, 2015, in the fascinating city of Casablanca, Morocco. UNet’15 is technically sponsored by IEEE Morocco Section and IEEE COMSOC Morocco Chapter.

Sustainable Development: Concepts, Methodologies, Tools, and Applications

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Publisher : IGI Global
ISBN 13 : 1522538186
Total Pages : 1725 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Sustainable Development: Concepts, Methodologies, Tools, and Applications by : Management Association, Information Resources

Download or read book Sustainable Development: Concepts, Methodologies, Tools, and Applications written by Management Association, Information Resources and published by IGI Global. This book was released on 2017-10-31 with total page 1725 pages. Available in PDF, EPUB and Kindle. Book excerpt: To maintain a healthy ecosystem for contemporary society, and for future generations, policies must be implemented to protect the environment. This can be achieved by consistent evaluation of new initiatives and strategies. Sustainable Development: Concepts, Methodologies, Tools, and Applications is a comprehensive source of scholarly information on the latest research for sustainability concerns across a multidisciplinary perspective. Highlighting a broad range of innovative topics such as renewable energy, urban development, and green technologies, this multi-volume book is ideally designed for academics, researchers, professionals, students, and practitioners interested in the preservation of the environment.

Game Theory and Learning for Wireless Networks

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Author :
Publisher : Academic Press
ISBN 13 : 0123846994
Total Pages : 346 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Game Theory and Learning for Wireless Networks by : Samson Lasaulce

Download or read book Game Theory and Learning for Wireless Networks written by Samson Lasaulce and published by Academic Press. This book was released on 2011-09-19 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by leading experts in the field, Game Theory and Learning for Wireless Networks Covers how theory can be used to solve prevalent problems in wireless networks such as power control, resource allocation or medium access control. With the emphasis now on promoting ‘green’ solutions in the wireless field where power consumption is minimized, there is an added focus on developing network solutions that maximizes the use of the spectrum available. With the growth of distributed wireless networks such as Wi-Fi and the Internet; the push to develop ad hoc and cognitive networks has led to a considerable interest in applying game theory to wireless communication systems. Game Theory and Learning for Wireless Networks is the first comprehensive resource of its kind, and is ideal for wireless communications R&D engineers and graduate students. Samson Lasaulce is a senior CNRS researcher at the Laboratory of Signals and Systems (LSS) at Supélec, Gif-sur-Yvette, France. He is also a part-time professor in the Department of Physics at École Polytechnique, Palaiseau, France. Hamidou Tembine is a professor in the Department of Telecommunications at Supélec, Gif-sur-Yvette, France. Merouane Debbah is a professor at Supélec, Gif-sur-Yvette, France. He is the holder of the Alcatel-Lucent chair in flexible radio since 2007. The first tutorial style book that gives all the relevant theory, at the right level of rigour, for the wireless communications engineer Bridges the gap between theory and practice by giving examples and case studies showing how game theory can solve real world resource allocation problems Contains algorithms and techniques to implement game theory in wireless terminals

Communication Efficient Federated Learning for Wireless Networks

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Author :
Publisher : Springer Nature
ISBN 13 : 3031512669
Total Pages : 189 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Communication Efficient Federated Learning for Wireless Networks by : Mingzhe Chen

Download or read book Communication Efficient Federated Learning for Wireless Networks written by Mingzhe Chen and published by Springer Nature. This book was released on with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Federated Learning for Wireless Networks

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Author :
Publisher : Springer Nature
ISBN 13 : 9811649634
Total Pages : 257 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Federated Learning for Wireless Networks by : Choong Seon Hong

Download or read book Federated Learning for Wireless Networks written by Choong Seon Hong and published by Springer Nature. This book was released on 2022-01-01 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links. Therefore, wireless impairments such as uncertainties among wireless channel states, interference, and noise significantly affect the performance of FL. On the other hand, federated-reinforcement learning leverages distributed computation power and data to solve complex optimization problems that arise in various use cases, such as interference alignment, resource management, clustering, and network control. Traditionally, FL makes the assumption that edge devices will unconditionally participate in the tasks when invited, which is not practical in reality due to the cost of model training. As such, building incentive mechanisms is indispensable for FL networks. This book provides a comprehensive overview of FL for wireless networks. It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy. It also presents several solutions based on optimization theory, graph theory, and game theory to optimize the performance of federated learning in wireless networks. Lastly, the third part describes several applications of FL in wireless networks.

Machine Learning and Wireless Communications

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Author :
Publisher : Cambridge University Press
ISBN 13 : 1108967736
Total Pages : 560 pages
Book Rating : 4.1/5 (89 download)

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Book Synopsis Machine Learning and Wireless Communications by : Yonina C. Eldar

Download or read book Machine Learning and Wireless Communications written by Yonina C. Eldar and published by Cambridge University Press. This book was released on 2022-06-30 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Deep Reinforcement Learning for Wireless Communications and Networking

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119873673
Total Pages : 293 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Deep Reinforcement Learning for Wireless Communications and Networking by : Dinh Thai Hoang

Download or read book Deep Reinforcement Learning for Wireless Communications and Networking written by Dinh Thai Hoang and published by John Wiley & Sons. This book was released on 2023-08-01 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Reinforcement Learning for Wireless Communications and Networking Comprehensive guide to Deep Reinforcement Learning (DRL) as applied to wireless communication systems Deep Reinforcement Learning for Wireless Communications and Networking presents an overview of the development of DRL while providing fundamental knowledge about theories, formulation, design, learning models, algorithms and implementation of DRL together with a particular case study to practice. The book also covers diverse applications of DRL to address various problems in wireless networks, such as caching, offloading, resource sharing, and security. The authors discuss open issues by introducing some advanced DRL approaches to address emerging issues in wireless communications and networking. Covering new advanced models of DRL, e.g., deep dueling architecture and generative adversarial networks, as well as emerging problems considered in wireless networks, e.g., ambient backscatter communication, intelligent reflecting surfaces and edge intelligence, this is the first comprehensive book studying applications of DRL for wireless networks that presents the state-of-the-art research in architecture, protocol, and application design. Deep Reinforcement Learning for Wireless Communications and Networking covers specific topics such as: Deep reinforcement learning models, covering deep learning, deep reinforcement learning, and models of deep reinforcement learning Physical layer applications covering signal detection, decoding, and beamforming, power and rate control, and physical-layer security Medium access control (MAC) layer applications, covering resource allocation, channel access, and user/cell association Network layer applications, covering traffic routing, network classification, and network slicing With comprehensive coverage of an exciting and noteworthy new technology, Deep Reinforcement Learning for Wireless Communications and Networking is an essential learning resource for researchers and communications engineers, along with developers and entrepreneurs in autonomous systems, who wish to harness this technology in practical applications.

Game Theory in Wireless and Communication Networks

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Publisher : Cambridge University Press
ISBN 13 : 0521196965
Total Pages : 555 pages
Book Rating : 4.5/5 (211 download)

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Book Synopsis Game Theory in Wireless and Communication Networks by : Zhu Han

Download or read book Game Theory in Wireless and Communication Networks written by Zhu Han and published by Cambridge University Press. This book was released on 2012 with total page 555 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unified 2001 treatment of game theory focuses on finding state-of-the-art solutions to issues surrounding the next generation of wireless and communications networks. The key results and tools of game theory are covered, as are various real-world technologies and a wide range of techniques for modeling, design and analysis.

Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems

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Publisher : CRC Press
ISBN 13 : 1000441857
Total Pages : 270 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems by : K. Suganthi

Download or read book Machine Learning and Deep Learning Techniques in Wireless and Mobile Networking Systems written by K. Suganthi and published by CRC Press. This book was released on 2021-09-14 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Machine Learning for Future Wireless Communications

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Publisher : John Wiley & Sons
ISBN 13 : 1119562252
Total Pages : 490 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Machine Learning for Future Wireless Communications by : Fa-Long Luo

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.

Federated Learning

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Publisher : Springer Nature
ISBN 13 : 3031015851
Total Pages : 189 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Federated Learning by : Qiang Qiang Yang

Download or read book Federated Learning written by Qiang Qiang Yang and published by Springer Nature. This book was released on 2022-06-01 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.

Cognitive Wireless Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 1402059787
Total Pages : 725 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Cognitive Wireless Networks by : Frank H. P. Fitzek

Download or read book Cognitive Wireless Networks written by Frank H. P. Fitzek and published by Springer Science & Business Media. This book was released on 2007-09-07 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book advocates the idea of breaking up the cellular communication architecture by introducing cooperative strategies among wireless devices through cognitive wireless networking. It details the cooperative and cognitive aspects for future wireless communication networks. Coverage includes social and biological inspired behavior applied to wireless networks, peer-to-peer networking, cooperative networks, and spectrum sensing and management.

Proceedings of the 34th Annual Hawaii International Conference on System Sciences

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Publisher :
ISBN 13 : 9780769509815
Total Pages : 408 pages
Book Rating : 4.5/5 (98 download)

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Book Synopsis Proceedings of the 34th Annual Hawaii International Conference on System Sciences by : Ralph H. Sprague, Jr.

Download or read book Proceedings of the 34th Annual Hawaii International Conference on System Sciences written by Ralph H. Sprague, Jr. and published by . This book was released on 2001 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation Contains abstracts of 440 papers presented at the January 2001 conference in nine major tracks. The session topics are collaboration systems and technology, complex systems, decision technologies for management, digital documents, emerging technologies, information technology in health care, Internet and the digital economy, organizational systems and technology, and software technology. Subject headings within the sessions include asynchronous learning networks, intelligent systems in traffic and transportation, e- government, telemedicine, web engineering, community informatics, trends in outsourcing of information systems, mobile computing and wireless networks, and domain-specific languages for software engineering. No subject index. The CD-ROM contains the complete papers in Abode Acrobat format. The disc is of a hybrid structure that allows access from PCs, Macintosh, and UNIX. Annotation copyrighted by Book News, Inc., Portland, OR.

Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing

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Publisher : IGI Global
ISBN 13 : 1799853403
Total Pages : 2700 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing by : Management Association, Information Resources

Download or read book Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing written by Management Association, Information Resources and published by IGI Global. This book was released on 2021-01-25 with total page 2700 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. The Research Anthology on Architectures, Frameworks, and Integration Strategies for Distributed and Cloud Computing is a vital reference source that provides valuable insight into current and emergent research occurring within the field of distributed computing. It also presents architectures and service frameworks to achieve highly integrated distributed systems and solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting a range of topics such as data sharing, wireless sensor networks, and scalability, this multi-volume book is ideally designed for system administrators, integrators, designers, developers, researchers, academicians, and students.

Telecommunications Directory

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Publisher :
ISBN 13 :
Total Pages : 1036 pages
Book Rating : 4.E/5 ( download)

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Book Synopsis Telecommunications Directory by :

Download or read book Telecommunications Directory written by and published by . This book was released on 2007 with total page 1036 pages. Available in PDF, EPUB and Kindle. Book excerpt: