Dynamic Optimized Resource Allocation in Cellular & Wireless Networks with Software Interface 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 Dynamic Optimized Resource Allocation in Cellular & Wireless Networks with Software Interface PDF full book. Access full book title Dynamic Optimized Resource Allocation in Cellular & Wireless Networks with Software Interface by Michel Matta. Download full books in PDF and EPUB format.
Author: Michel Matta
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 80
Get Book Here
Book Description
In the past years, there has been a huge advance in the structure and design of wireless networks, and we have seen significant variation form the physical layer algorithm development to the layer protocol design to the system level optimization. Numerous wireless standards have been agreed on to keep up with demand of multiple applications. Over the years researchers came together and realized that for wireless networks, and because of user mobility, fading channel and power resources, and other factors we cannot simply optimize the wireless communication like we used to optimize the wired networks, where they usually concentrate on one layer without paying any attention on the effects it has on other layers. But for wireless networks, interconnection between layers and cross layer optimization is the basic issue to insure high quality performance. One of the most important issues in the cross layer optimization is resource allocation. In Wireless communication there are frequency, time and space diversity as well. If we took advantages of those diversities we can tremendously improve the quality of communication. All those variables contribute to the need of resource allocations. We have seen the advance of resource allocation in the past years with huge progress. As anyone can imagine, because the number of degrees freedom, and multiple parameters, dynamic resource allocation is a broad topic that deals with variety of problems. So the optimization tools and techniques may vary a lot. Aside from the commonly used method which is convex optimization there are non-linear and non-convex methods. When we speak about channel allocation and resource scheduling. Sometimes the problem tends to get more and more complicated. If we took into account the time caring conditions, the problem will evolve to be a dynamic optimization. The cooperation with the distributed and autonomous devices is considered, different mathematical models can be used to find the best strategy and optimal solution. It is only fair to say that there is no single perfect optimization available to solve all the dynamic resource allocation problems.
Author: Michel Matta
Publisher:
ISBN:
Category : Dissertations, Academic
Languages : en
Pages : 80
Get Book Here
Book Description
In the past years, there has been a huge advance in the structure and design of wireless networks, and we have seen significant variation form the physical layer algorithm development to the layer protocol design to the system level optimization. Numerous wireless standards have been agreed on to keep up with demand of multiple applications. Over the years researchers came together and realized that for wireless networks, and because of user mobility, fading channel and power resources, and other factors we cannot simply optimize the wireless communication like we used to optimize the wired networks, where they usually concentrate on one layer without paying any attention on the effects it has on other layers. But for wireless networks, interconnection between layers and cross layer optimization is the basic issue to insure high quality performance. One of the most important issues in the cross layer optimization is resource allocation. In Wireless communication there are frequency, time and space diversity as well. If we took advantages of those diversities we can tremendously improve the quality of communication. All those variables contribute to the need of resource allocations. We have seen the advance of resource allocation in the past years with huge progress. As anyone can imagine, because the number of degrees freedom, and multiple parameters, dynamic resource allocation is a broad topic that deals with variety of problems. So the optimization tools and techniques may vary a lot. Aside from the commonly used method which is convex optimization there are non-linear and non-convex methods. When we speak about channel allocation and resource scheduling. Sometimes the problem tends to get more and more complicated. If we took into account the time caring conditions, the problem will evolve to be a dynamic optimization. The cooperation with the distributed and autonomous devices is considered, different mathematical models can be used to find the best strategy and optimal solution. It is only fair to say that there is no single perfect optimization available to solve all the dynamic resource allocation problems.
Author: Slawomir Stanczak
Publisher: Springer Science & Business Media
ISBN: 3540793860
Category : Technology & Engineering
Languages : en
Pages : 445
Get Book Here
Book Description
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.
Author: Zhu Han
Publisher:
ISBN: 9781139129435
Category : TECHNOLOGY & ENGINEERING
Languages : en
Pages : 559
Get Book Here
Book Description
Do you need to improve wireless system performance? Learn how to maximise the efficient use of resources with this systematic and authoritative account of wireless resource management. Basic concepts, optimization tools and techniques, and application examples, are thoroughly described and analysed, providing a unified framework for cross-layer optimization of wireless networks. State-of-the-art research topics and emerging applications, including dynamic resource allocation, cooperative networks, ad hoc/personal area networks, UWB, and antenna array processing, are examined in depth. If you are involved in the design and development of wireless networks, as a researcher, graduate student or professional engineer, this is a must-have guide to getting the best possible performance from your network.
Author: Leonidas Georgiadis
Publisher: Now Publishers Inc
ISBN: 1933019263
Category : Technology & Engineering
Languages : en
Pages : 161
Get Book Here
Book Description
Information flow in a telecommunication network is accomplished through the interaction of mechanisms at various design layers with the end goal of supporting the information exchange needs of the applications. In wireless networks in particular, the different layers interact in a nontrivial manner in order to support information transfer. In this text we will present abstract models that capture the cross-layer interaction from the physical to transport layer in wireless network architectures including cellular, ad-hoc and sensor networks as well as hybrid wireless-wireline. The model allows for arbitrary network topologies as well as traffic forwarding modes, including datagrams and virtual circuits. Furthermore the time varying nature of a wireless network, due either to fading channels or to changing connectivity due to mobility, is adequately captured in our model to allow for state dependent network control policies. Quantitative performance measures that capture the quality of service requirements in these systems depending on the supported applications are discussed, including throughput maximization, energy consumption minimization, rate utility function maximization as well as general performance functionals. Cross-layer control algorithms with optimal or suboptimal performance with respect to the above measures are presented and analyzed. A detailed exposition of the related analysis and design techniques is provided.
Author: Fa-Long Luo
Publisher: John Wiley & Sons
ISBN: 1119562252
Category : Technology & Engineering
Languages : en
Pages : 490
Get Book Here
Book Description
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.
Author: Elias Yaacoub
Publisher: John Wiley & Sons
ISBN: 1118074505
Category : Technology & Engineering
Languages : en
Pages : 298
Get Book Here
Book Description
Tackling problems from the least complicated to the most, Resource Allocation in Uplink OFDMA Wireless Systems provides readers with a comprehensive look at resource allocation and scheduling techniques (for both single and multi-cell deployments) in uplink OFDMA wireless networks relying on convex optimization and game theory to thoroughly analyze performance. Inside, readers will find topics and discussions on: Formulating and solving the uplink ergodic sum-rate maximization problem Proposing suboptimal algorithms that achieve a close performance to the optimal case at a considerably reduced complexity and lead to fairness when the appropriate utility is used Investigating the performance and extensions of the proposed suboptimal algorithms in a distributed base station scenario Studying distributed resource allocation where users take part in the scheduling process, and considering scenarios with and without user collaboration Formulating the sum-rate maximization problem in a multi-cell scenario, and proposing efficient centralized and distributed algorithms for intercell interference mitigation Discussing the applicability of the proposed techniques to state-of-the-art wireless technologies, LTE and WiMAX, and proposing relevant extensions Along with schematics and figures featuring simulation results, Resource Allocation in Uplink OFDMA Wireless Systems is a valuable book for?wireless communications and cellular systems professionals and students.
Author: Ekram Hossain
Publisher: John Wiley & Sons
ISBN: 1118502671
Category : Technology & Engineering
Languages : en
Pages : 346
Get Book Here
Book Description
Providing an extensive overview of the radio resource management problem in femtocell networks, this invaluable book considers both code division multiple access femtocells and orthogonal frequency-division multiple access femtocells. In addition to incorporating current research on this topic, the book also covers technical challenges in femtocell deployment, provides readers with a variety of approaches to resource allocation and a comparison of their effectiveness, explains how to model various networks using Stochastic geometry and shot noise theory, and much more.
Author: Fan Qiu
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
Get Book Here
Book Description
The ever-increasing adoption and usage of mobile devices have created explosive demand for wireless data services. In spite of the great efforts made to expand the capabilities of wireless infrastructures and mobile devices, performance issues caused by resource contention keep arising. This calls for optimized resource management solutions which not only efficiently utilize network and device resources, but consistently optimize the performance under various scenarios. The problem is highly challenging considering the inherent resource sharing feature of wireless medium and the unpredictable dynamics in wireless environments. In this dissertation, we present a two-tier dynamic-oriented resource management solution for wireless mobile systems, which involves several novel techniques corresponding to different layers of the network architecture. The first tier is a scheme designed to optimize network infrastructure of wireless networks. We study the cross-layer resource management problem which covers multiple layers from the transport layer to the medium access layer. We present two techniques that are operated on different time scales. One technique relies on Capacity Space Projection to form a virtual capacity space, which contains both the slow time scale and the fast time scale capacity signals. Then the cross-layer resource allocation becomes an optimization problem over the virtual capacity space. Using the other technique, we can investigate the risk imposed by unpredictable fast-time scale and perform risk-benefit analysis by introducing a penalty function into the optimization framework. The second tier is an application layer management scheme applied to the ecosystem consisting of mobile terminals and remote computational resources. This scheme aims to improve user experience by minimizing the energy consumption during a task execution. This is achieved by a mobile application offload system that intelligently migrates the computation-intensive tasks from a mobile application to the back-end server. We present energy profiling models and a runtime decision solver to enable cost-effective offloading in dynamic environments. The two tiers employ distinct resource management strategies, however, they are closely related in the layered architecture of mobile wireless systems.
Author: Wayne Li
Publisher: Nova Publishers
ISBN: 9781594545832
Category : Computers
Languages : en
Pages : 366
Get Book Here
Book Description
Next generation wireless and mobile communication systems are rapidly evolving to satisfy the demands of various network users. Due to the great success and enormous impact of IP networks, high-speed transmission is now possible for both indoor and outdoor wireless systems, internet access and web browsing have become the ruling paradigm for next generation system. It is envisioned that new generation wireless networks and hand-held terminals will support a wide variety of multimedia services such as multimedia web browsing, video and news on demand, mobile office system, stock market information, and so on, to mobile users anywhere, anytime in an uninterrupted and seamless way with low-powered handsets. The characteristics of wireless links, as well as the desire to maintain connectivity while on the move, offer significant challenges to provisioning quality of service and the related performance is of central interest. Since the resources (such as time, frequency and code) in the wireless segments of such networks are very limited, over-dimensioning the network resource is equivalent to poor capital investment, while congestion at busy hours could mean lost calls and lost revenues. It is therefore critical for wireless network designers to utilise these resources efficiently and effectively. In response to the above demand for next generation wireless and mobile communication systems, this book aims at providing a timely and concise reference of the current activities and findings in the relevant technical fields. The primary goal is to address the key technical issues pertaining to the integrated new systems and present novel technical contributions. The book contains 14 invited chapters from prominent researchers working in this area around the world.
Author: Amila Tharaperiya Gamage
Publisher: Springer
ISBN: 3319642685
Category : Technology & Engineering
Languages : en
Pages : 116
Get Book Here
Book Description
This book provides an in-depth discussion on how to efficiently manage resources of heterogeneous wireless networks and how to design resource allocation algorithms to suit real world conditions. Efficiently managing resources of the networks is more crucial now, than ever before, to meet users’ rapidly increasing demand for higher data rates, better quality-of-service (QoS) and seamless coverage. Some of the techniques that can be incorporated within heterogeneous wireless networks to achieve this objective are interworking of the networks, user multi-homing and device-to-device (D2D) communication. Designing resource allocation algorithms to suit real world conditions is also important, as the algorithms should be deployable and perform well in real networks. For example, two of the conditions considered in this book are resource allocation intervals of different networks are different and small cell base stations have limited computational capacity. To address the first condition, resource allocation algorithms for interworking systems are designed to allocate resources of different networks at different time-scales. To address the second condition, resource allocation algorithms are designed to be able to run at cloud computing servers. More of such conditions, algorithms designed to suit these conditions, modeling techniques for various networks and performance analysis of the algorithms are discussed in the book. This book concludes with a discussion on the future research directions on the related fields of study. Advanced-level students focused on communication and networking will use this book as a study guide. Researchers and experts in the fields of networking, converged networks, small-cell networks, resource management, and interference management, as well as consultants working in network planning and optimization and managers, executives and network architects working in the networking industry will also find this book useful as a reference.
