Cognitive Power Management and Error Resilient Algorithms for Memory Dominated Wireless Communication Systems PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Cognitive Power Management and Error Resilient Algorithms for Memory Dominated Wireless Communication Systems PDF full book. Access full book title Cognitive Power Management and Error Resilient Algorithms for Memory Dominated Wireless Communication Systems by Muhammad Sayed Khairy Abdelghaffar. Download full books in PDF and EPUB format.
Author: Muhammad Sayed Khairy Abdelghaffar Publisher: ISBN: 9781303454967 Category : Languages : en Pages : 202
Book Description
Advanced CMOS technology exhibits increasing variations in performance, power consumption and reliability parameters. These variations led to extensive overdesigning and increased power consumption to guarantee 100% reliable operation. However, with the continuous shrinking of device parameters, future semiconductor industry needs to shift from the assumption of 100% reliable computation to a fault-tolerant approach. Fortunately, many important application domains such as communication and multimedia are inherently error-aware, allowing a range of designs with a specified Quality of Service (QoS) to be generated for varying amounts of error in the system. Specifically, embedded memories in communication systems are perfect candidates for exploring error-aware designs, since the share of the System-on-Chips (SoCs) that is dedicated to memories has experienced an increasingly upwards trend exceeding more than 50% of the area of an SoCs for wireless standards such as Long-Term Evolution (LTE), Digital Video Broadcasting (DVB), and Worldwide Interoperability for Microwave Access (WiMAX). Furthermore, a large portion of the memory is typically used for buffering data that already has a high level of redundancy (e.g. buffering memories in wireless chips). In the context of wireless communication systems, given that the incoming buffered data is already corrupted by time varying noise and interference, there is no need to store the data samples in memories that are error free, 100% of the time. Rather, Voltage over-scaling (VoS) techniques can be adopted as an efficient means to achieve energy efficient systems via trading off reliability versus power. However, reducing the supply voltage of buffering memory through VoS results in spatially uniform random errors which in turn corrupts the stored data in the buffering memories and increase the noise floor. In this thesis, the predominance of embedded memories in current and emerging wireless transceivers is utilized as a means to save power via channel state aware voltage scaling. While the wireless channel is a stochastic channel where the designer has little control on its variables, embedded memories are considered as an extension of the channel where the designer can control its quality via VoS. The thesis presents a unified statistical model that captures both errors in embedded memories due to voltage over-scaling and wireless channel impairments into a single Gaussian distribution model that represents a combination of communication channel noise and hardware noise. The proposed model is used to investigate different cognitive power management policies that capture the performance of the system as a function of both channel and hardware dynamics, thus creating a much richer design space of power, performance and reliability. Furthermore, based on that model, error-resilient algorithm for Viterbi decoder, multiple input multiple output (MIMO) detector and memory-based computation are presented.
Author: Muhammad Sayed Khairy Abdelghaffar Publisher: ISBN: 9781303454967 Category : Languages : en Pages : 202
Book Description
Advanced CMOS technology exhibits increasing variations in performance, power consumption and reliability parameters. These variations led to extensive overdesigning and increased power consumption to guarantee 100% reliable operation. However, with the continuous shrinking of device parameters, future semiconductor industry needs to shift from the assumption of 100% reliable computation to a fault-tolerant approach. Fortunately, many important application domains such as communication and multimedia are inherently error-aware, allowing a range of designs with a specified Quality of Service (QoS) to be generated for varying amounts of error in the system. Specifically, embedded memories in communication systems are perfect candidates for exploring error-aware designs, since the share of the System-on-Chips (SoCs) that is dedicated to memories has experienced an increasingly upwards trend exceeding more than 50% of the area of an SoCs for wireless standards such as Long-Term Evolution (LTE), Digital Video Broadcasting (DVB), and Worldwide Interoperability for Microwave Access (WiMAX). Furthermore, a large portion of the memory is typically used for buffering data that already has a high level of redundancy (e.g. buffering memories in wireless chips). In the context of wireless communication systems, given that the incoming buffered data is already corrupted by time varying noise and interference, there is no need to store the data samples in memories that are error free, 100% of the time. Rather, Voltage over-scaling (VoS) techniques can be adopted as an efficient means to achieve energy efficient systems via trading off reliability versus power. However, reducing the supply voltage of buffering memory through VoS results in spatially uniform random errors which in turn corrupts the stored data in the buffering memories and increase the noise floor. In this thesis, the predominance of embedded memories in current and emerging wireless transceivers is utilized as a means to save power via channel state aware voltage scaling. While the wireless channel is a stochastic channel where the designer has little control on its variables, embedded memories are considered as an extension of the channel where the designer can control its quality via VoS. The thesis presents a unified statistical model that captures both errors in embedded memories due to voltage over-scaling and wireless channel impairments into a single Gaussian distribution model that represents a combination of communication channel noise and hardware noise. The proposed model is used to investigate different cognitive power management policies that capture the performance of the system as a function of both channel and hardware dynamics, thus creating a much richer design space of power, performance and reliability. Furthermore, based on that model, error-resilient algorithm for Viterbi decoder, multiple input multiple output (MIMO) detector and memory-based computation are presented.
Author: Andreas F. Molisch Publisher: John Wiley & Sons ISBN: 1118355687 Category : Technology & Engineering Languages : en Pages : 883
Book Description
"Professor Andreas F. Molisch, renowned researcher and educator, has put together the comprehensive book, Wireless Communications. The second edition, which includes a wealth of new material on important topics, ensures the role of the text as the key resource for every student, researcher, and practitioner in the field." —Professor Moe Win, MIT, USA Wireless communications has grown rapidly over the past decade from a niche market into one of the most important, fast moving industries. Fully updated to incorporate the latest research and developments, Wireless Communications, Second Edition provides an authoritative overview of the principles and applications of mobile communication technology. The author provides an in-depth analysis of current treatment of the area, addressing both the traditional elements, such as Rayleigh fading, BER in flat fading channels, and equalisation, and more recently emerging topics such as multi-user detection in CDMA systems, MIMO systems, and cognitive radio. The dominant wireless standards; including cellular, cordless and wireless LANs; are discussed. Topics featured include: wireless propagation channels, transceivers and signal processing, multiple access and advanced transceiver schemes, and standardised wireless systems. Combines mathematical descriptions with intuitive explanations of the physical facts, enabling readers to acquire a deep understanding of the subject. Includes new chapters on cognitive radio, cooperative communications and relaying, video coding, 3GPP Long Term Evolution, and WiMax; plus significant new sections on multi-user MIMO, 802.11n, and information theory. Companion website featuring: supplementary material on 'DECT', solutions manual and presentation slides for instructors, appendices, list of abbreviations and other useful resources.
Author: Thomas H. Cormen Publisher: MIT Press ISBN: 0262258102 Category : Computers Languages : en Pages : 1313
Book Description
The latest edition of the essential text and professional reference, with substantial new material on such topics as vEB trees, multithreaded algorithms, dynamic programming, and edge-based flow. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively self-contained and can be used as a unit of study. The algorithms are described in English and in a pseudocode designed to be readable by anyone who has done a little programming. The explanations have been kept elementary without sacrificing depth of coverage or mathematical rigor. The first edition became a widely used text in universities worldwide as well as the standard reference for professionals. The second edition featured new chapters on the role of algorithms, probabilistic analysis and randomized algorithms, and linear programming. The third edition has been revised and updated throughout. It includes two completely new chapters, on van Emde Boas trees and multithreaded algorithms, substantial additions to the chapter on recurrence (now called “Divide-and-Conquer”), and an appendix on matrices. It features improved treatment of dynamic programming and greedy algorithms and a new notion of edge-based flow in the material on flow networks. Many exercises and problems have been added for this edition. The international paperback edition is no longer available; the hardcover is available worldwide.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309463076 Category : Science Languages : en Pages : 171
Book Description
Americans' safety, productivity, comfort, and convenience depend on the reliable supply of electric power. The electric power system is a complex "cyber-physical" system composed of a network of millions of components spread out across the continent. These components are owned, operated, and regulated by thousands of different entities. Power system operators work hard to assure safe and reliable service, but large outages occasionally happen. Given the nature of the system, there is simply no way that outages can be completely avoided, no matter how much time and money is devoted to such an effort. The system's reliability and resilience can be improved but never made perfect. Thus, system owners, operators, and regulators must prioritize their investments based on potential benefits. Enhancing the Resilience of the Nation's Electricity System focuses on identifying, developing, and implementing strategies to increase the power system's resilience in the face of events that can cause large-area, long-duration outages: blackouts that extend over multiple service areas and last several days or longer. Resilience is not just about lessening the likelihood that these outages will occur. It is also about limiting the scope and impact of outages when they do occur, restoring power rapidly afterwards, and learning from these experiences to better deal with events in the future.
Author: Ovidiu Vermesan Publisher: CRC Press ISBN: 1000791823 Category : Science Languages : en Pages : 226
Book Description
Cognitive Hyperconnected Digital Transformation provides an overview of the current Internet of Things (IoT) landscape, ranging from research, innovation and development priorities to enabling technologies in a global context. It is intended as a standalone book in a series that covers the Internet of Things activities of the IERC-Internet of Things European Research Cluster, including both research and technological innovation, validation and deployment. The book builds on the ideas put forward by the European Research Cluster, the IoT European Platform Initiative (IoT-EPI) and the IoT European Large-Scale Pilots Programme, presenting global views and state-of-the-art results regarding the challenges facing IoT research, innovation, development and deployment in the next years. Hyperconnected environments integrating industrial/business/consumer IoT technologies and applications require new IoT open systems architectures integrated with network architecture (a knowledge-centric network for IoT), IoT system design and open, horizontal and interoperable platforms managing things that are digital, automated and connected and that function in real-time with remote access and control based on Internet-enabled tools. The IoT is bridging the physical world with the virtual world by combining augmented reality (AR), virtual reality (VR), machine learning and artificial intelligence (AI) to support the physical-digital integrations in the Internet of mobile things based on sensors/actuators, communication, analytics technologies, cyber-physical systems, software, cognitive systems and IoT platforms with multiple functionalities. These IoT systems have the potential to understand, learn, predict, adapt and operate autonomously. They can change future behaviour, while the combination of extensive parallel processing power, advanced algorithms and data sets feed the cognitive algorithms that allow the IoT systems to develop new services and propose new solutions. IoT technologies are moving into the industrial space and enhancing traditional industrial platforms with solutions that break free of device-, operating system- and protocol-dependency. Secure edge computing solutions replace local networks, web services replace software, and devices with networked programmable logic controllers (NPLCs) based on Internet protocols replace devices that use proprietary protocols. Information captured by edge devices on the factory floor is secure and accessible from any location in real time, opening the communication gateway both vertically (connecting machines across the factory and enabling the instant availability of data to stakeholders within operational silos) and horizontally (with one framework for the entire supply chain, across departments, business units, global factory locations and other markets). End-to-end security and privacy solutions in IoT space require agile, context-aware and scalable components with mechanisms that are both fluid and adaptive. The convergence of IT (information technology) and OT (operational technology) makes security and privacy by default a new important element where security is addressed at the architecture level, across applications and domains, using multi-layered distributed security measures. Blockchain is transforming industry operating models by adding trust to untrusted environments, providing distributed security mechanisms and transparent access to the information in the chain. Digital technology platforms are evolving, with IoT platforms integrating complex information systems, customer experience, analytics and intelligence to enable new capabilities and business models for digital business.
Author: Zhu Han Publisher: Cambridge University Press ISBN: 0521196965 Category : Business & Economics Languages : en Pages : 555
Book Description
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.
Author: Frank H. P. Fitzek Publisher: Springer Science & Business Media ISBN: 1402059787 Category : Computers Languages : en Pages : 725
Book Description
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.
Author: Greg Zacharias Publisher: Independently Published ISBN: 9781092834346 Category : Languages : en Pages : 420
Book Description
Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.
Author: Pei Zheng Publisher: Elsevier ISBN: 0080458343 Category : Technology & Engineering Languages : en Pages : 582
Book Description
This in-depth technical guide is an essential resource for anyone involved in the development of “smart mobile wireless technology, including devices, infrastructure, and applications. Written by researchers active in both academic and industry settings, it offers both a big-picture introduction to the topic and detailed insights into the technical details underlying all of the key trends. Smart Phone and Next-Generation Mobile Computing shows you how the field has evolved, its real and potential current capabilities, and the issues affecting its future direction. It lays a solid foundation for the decisions you face in your work, whether you’re a manager, engineer, designer, or entrepreneur. Covers the convergence of phone and PDA functionality on the terminal side, and the integration of different network types on the infrastructure side Compares existing and anticipated wireless technologies, focusing on 3G cellular networks and wireless LANs Evaluates terminal-side operating systems/programming environments, including Microsoft Windows Mobile, Palm OS, Symbian, J2ME, and Linux Considers the limitations of existing terminal designs and several pressing application design issues Explores challenges and possible solutions relating to the next phase of smart phone development, as it relates to services, devices, and networks Surveys a collection of promising applications, in areas ranging from gaming to law enforcement to financial processing
Author: Adam Bohr Publisher: Academic Press ISBN: 0128184396 Category : Computers Languages : en Pages : 385
Book Description
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data
Author: Muhammad Sayed Khairy Abdelghaffar
Author: Muhammad Sayed Khairy Abdelghaffar
Author: Andreas F. Molisch
Author: Thomas H. Cormen
Author: National Academies of Sciences, Engineering, and Medicine
Author: Ovidiu Vermesan
Author: Zhu Han
Author: Frank H. P. Fitzek
Author: Greg Zacharias
Author: Pei Zheng
Author: Adam Bohr