Resource Allocation Optimization For Future Wireless Communication Systems
DOWNLOAD
Download Resource Allocation Optimization For Future Wireless Communication Systems PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Resource Allocation Optimization For Future Wireless Communication Systems book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Resource Allocation Optimization For Future Wireless Communication Systems
DOWNLOAD
Author : Binbin Su
language : en
Publisher:
Release Date : 2020
Resource Allocation Optimization For Future Wireless Communication Systems written by Binbin Su and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
Optimization Techniques In Resource Allocation Of Wireless Communication Systems
DOWNLOAD
Author : K. Sumathi
language : en
Publisher: Grin Publishing
Release Date : 2016-12-13
Optimization Techniques In Resource Allocation Of Wireless Communication Systems written by K. Sumathi and has been published by Grin Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-13 with categories.
Scientific Study from the year 2016 in the subject Engineering - Communication Technology, Mahalingam College of Engineering and Technology, language: English, abstract: The future Wireless Communication Systems (WCS) are supposed to provide high data rate to support personal and multimedia communications irrespective of the users' mobility and location. These services include heterogeneous classes of traffics such as voice, file transfer, web browsing, wireless multimedia, teleconferencing, and interactive games. In recent years, data and multimedia services have become important in wireless communications. As a result, bandwidth requirement and number of users become delicate problems. To support high data rate requirement for future WCS, it is essential to efficiently allocate the limited resources. The major challenges are the dynamic nature of wireless channel, limited resources such as power, frequency spectrum, and diversified Quality of Service (QoS) requirements. Orthogonal Frequency Division Multiplexing (OFDM) is a special case of multicarrier transmission that supports high data rate operation. OFDM is a modulation and multiplexing technique appropriate for current and future wireless networks. OFDM divides the available bandwidth into a number of parallel independent orthogonal subchannels and their bandwidth is much less than the coherence bandwidth of the channel. The wide band frequency selective fading channel is converted into several narrow band flat fading channels. OFDM is an excellent method to overcome multipath fading effects. One of the goals of WCS is to enhance the capacity of the channel. Multiple Access Technique (MAT) permits several mobile users to share the given bandwidth in an effective way. Basically there are four multiple access techniques available namely, Time Division Multiple Access (TDMA), Frequency Division Multiple access (FDMA), Code Division Multiple Access (CDMA) and Space Division Multiple Access (SDMA). MAT is employ
Robust Resource Allocation In Future Wireless Networks
DOWNLOAD
Author : Saeedeh Parsaeefard
language : en
Publisher: Springer
Release Date : 2017-03-06
Robust Resource Allocation In Future Wireless Networks written by Saeedeh Parsaeefard and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-06 with Technology & Engineering categories.
This book presents state-of-the-art research on robust resource allocation in current and future wireless networks. The authors describe the nominal resource allocation problems in wireless networks and explain why introducing robustness in such networks is desirable. Then, depending on the objectives of the problem, namely maximizing the social utility or the per-user utility, cooperative or competitive approaches are explained and their corresponding robust problems are considered in detail. For each approach, the costs and benefits of robust schemes are discussed and the algorithms for reducing their costs and improving their benefits are presented. Considering the fact that such problems are inherently non-convex and intractable, a taxonomy of different relaxation techniques is presented, and applications of such techniques are shown via several examples throughout the book. Finally, the authors argue that resource allocation continues to be an important issue in future wireless networks, and propose specific problems for future research.
Resource Allocation Optimization In Future Wireless Networks
DOWNLOAD
Author : Sepehr Rezvani
language : en
Publisher:
Release Date : 2023-08-09
Resource Allocation Optimization In Future Wireless Networks written by Sepehr Rezvani and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-09 with categories.
Ieee Acm Transactions On Networking
DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2009
Ieee Acm Transactions On Networking written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Computer networks categories.
Fundamentals Of Resource Allocation In Wireless Networks
DOWNLOAD
Author : Slawomir Stanczak
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-29
Fundamentals Of Resource Allocation In Wireless Networks written by Slawomir Stanczak and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-29 with Technology & Engineering categories.
The purpose of this book is to provide tools for a better understanding of the fundamental tradeo?s and interdependencies in wireless networks, with the goal of designing resource allocation strategies that exploit these int- dependencies to achieve signi?cant performance gains. Two facts prompted us to write it: First, future wireless applications will require a fundamental understanding of the design principles and control mechanisms in wireless networks. Second, the complexity of the network problems simply precludes the use of engineering common sense alone to identify good solutions, and so mathematics becomes the key avenue to cope with central technical problems in the design of wireless networks. In this book, two ?elds of mathematics play a central role: Perron-Frobenius theory for non-negative matrices and optimization theory. This book is a revised and expanded version of the research monograph “Resource Allocation in Wireless Networks” that was published as Lecture Notes in Computer Sciences (LNCS 4000) in 2006. Although the general structure has remained unchanged to a large extent, the book contains - merous additional results and more detailed discussion. For instance, there is a more extensive treatment of general nonnegative matrices and interf- ence functions that are described by an axiomatic model. Additional material on max-min fairness, proportional fairness, utility-based power control with QoS (quality of service) support and stochastic power control has been added.
Wireless Communications Resource Management
DOWNLOAD
Author : Byeong Gi Lee
language : en
Publisher: Wiley-IEEE Press
Release Date : 2009
Wireless Communications Resource Management written by Byeong Gi Lee and has been published by Wiley-IEEE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Performing Arts categories.
Wireless technologies continue to evolve to address the insatiable demand for faster response times, larger bandwidth, and reliable transmission. Yet as the industry moves toward the development of post 3G systems, engineers have consumed all the affordable physical layer technologies discovered to date. This has necessitated more intelligent and optimized utilization of available wireless resources. Wireless Communications Resource Managem ent, Lee, Park, and Seo cover all aspects of this critical topic, from the preliminary concepts and mathematical tools to detailed descriptions of all the resource management techniques. Readers will be able to more effectively leverage limited spectrum and maximize device battery power, as well as address channel loss, shadowing, and multipath fading phenomena. Presents the latest resource allocation techniques for new and next generation air interface technologies Arms readers with the necessary fundamentals and mathematical tools Illustrates theoretical concepts in a concrete manner Gives detailed coverage on scheduling, power management, and MIMO techniques Written by an author team working in both academia and industry Wireless Communications Resource Managementis geared for engineers in the wireless industry and graduate students specializing in wireless communications. Professionals in wireless service and device manufacturing industries will find the book to be a clear, up-to-date overview of the topic. Readers will benefit from a basic, undergraduate-level understanding of networks and communications. Course instructors can access lecture materials at the companion website:(www.wiley.com/go/bglee)
Optimized Resource Allocation For Future Wireless Communication Systems
DOWNLOAD
Author : Dongfang Xu
language : en
Publisher:
Release Date : 2022
Optimized Resource Allocation For Future Wireless Communication Systems written by Dongfang Xu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
2005 Ieee International Conference On Communications
DOWNLOAD
Author : IEEE Seoul Section Staff
language : en
Publisher:
Release Date : 2005
2005 Ieee International Conference On Communications written by IEEE Seoul Section Staff and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Transportation categories.
Machine Learning For Future Wireless Communications
DOWNLOAD
Author : Fa-Long Luo
language : en
Publisher: John Wiley & Sons
Release Date : 2019-12-19
Machine Learning For Future Wireless Communications written by Fa-Long Luo and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-12-19 with Technology & Engineering categories.
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.