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Book Resource Allocation and Cross layer Control in Wireless Networks

Download or read book Resource Allocation and Cross layer Control in Wireless Networks written by Leonidas Georgiadis and published by Now Publishers Inc. This book was released on 2006 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Decomposition Methods for Cross layer Optimization in Wireless Networks

Download or read book Decomposition Methods for Cross layer Optimization in Wireless Networks written by Daniel Ernesto Barreto and published by . This book was released on 2008 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Wireless Ad Hoc and Sensor Networks

Download or read book Wireless Ad Hoc and Sensor Networks written by Raja Jurdak and published by Springer Science & Business Media. This book was released on 2007-04-27 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the optimization potential of cross-layer design approaches for wireless ad hoc and sensor network performance, covering both theory and practice. A theoretical section provides an overview of design issues in both strictly layered and cross-layer approaches. A practical section builds on these issues to explore three case studies of diverse ad hoc and sensor network applications and communication technologies.

Book Cross layer Optimization of Wireless Networks

Download or read book Cross layer Optimization of Wireless Networks written by Wei Feng and published by . This book was released on 2011 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Cross Layer Optimization for Protocols in Mobile Adhoc Networks

Download or read book Cross Layer Optimization for Protocols in Mobile Adhoc Networks written by Anita Yadav and published by GRIN Verlag. This book was released on 2020-03-17 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doctoral Thesis / Dissertation from the year 2016 in the subject Computer Science - Miscellaneous, grade: 16, , language: English, abstract: In this thesis, we have modified AODV routing protocol by incorporating link prediction algorithm using a proposed link prediction model. This algorithm predicts the link availability time and even before the link breaks; either it repairs the route locally or sends information to the source nodes to enable them to initiate a new route search well in time. This algorithm improves the quality of service of the network. Simulation results show that AODV routing algorithm with link availability model performs better than the existing AODV. Advances in wireless technology and hand-held computing devices have brought revolution in the area of mobile communication. The increasing mobility of humans across the globe generated demand for infrastructure-less and quickly deployable mobile networks. Such networks are referred to as Mobile Adhoc Networks (MANET). Usually, nodes in a MANET also act as a router while being is free to roam while communicating each others. Adhoc networks are suited for use in situations where infrastructure is unavailable or to deploy one is not cost-effective. Frequent changes in network topology due to mobility and limited battery power of the mobile devices are the key challenges in the adhoc networks. The depletion of power source may cause early unavailability of nodes and thus links in the network. The mobility of nodes will also causes frequent routes breaks and adversely affects the required performance for the applications. Availability of a route in future mainly depends on the availability of links between the nodes forming the route. Therefore, it is important to predict the future availability of a link that is currently available. We have proposed an analytical model for link prediction using Newton divided difference method. This link availability algorithm is incorporated in AODV routing algorithm (AODVLP) to evaluate the performance of AODV routing protocol using the metrics viz. delivery rate, average end-to-end delay, average RTS collisions per node and route failure. In the existing AODV protocol, packets are routed until a link in the existing path fails. This results in degradation of quality of service of network in terms of end-to-end delay and delivery ratio.

Book Using Cross Layer Techniques for Communication Systems

Download or read book Using Cross Layer Techniques for Communication Systems written by Rashvand, Habib F. and published by IGI Global. This book was released on 2012-04-30 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the existing layering infrastructure--used globally for designing computers, data networks, and intelligent distributed systems and which connects various local and global communication services--is conceptually correct and pedagogically elegant, it is now well over 30 years old has started create a serious bottleneck. Using Cross-Layer Techniques for Communication Systems: Techniques and Applications explores how cross-layer methods provide ways to escape from the current communications model and overcome the challenges imposed by restrictive boundaries between layers. Written exclusively by well-established researchers, experts, and professional engineers, the book will present basic concepts, address different approaches for solving the cross-layer problem, investigate recent developments in cross-layer problems and solutions, and present the latest applications of the cross-layer in a variety of systems and networks.

Book Wireless Networks  Multiuser Detection in Cross Layer Design

Download or read book Wireless Networks Multiuser Detection in Cross Layer Design written by Christina Comaniciu and published by Springer Science & Business Media. This book was released on 2006-06-14 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross-layer design seeks to enhance the capacity of wireless networks significantly through the joint optimization of multiple layers in the network, primarily the physical (PHY) and medium access control (MAC) layers. Although there are advantages of such design in wireline networks as well, this approach is particularly advantageous for wireless networks due to the properties (such as mobility and interference) that strongly affect performance and design of higher layer protocols. This unique monograph is concerned with the issue of cross-layer design in wireless networks, and more particularly with the impact of node-level multiuser detection on such design. It provides an introduction to this vibrant and active research area insufficiently covered in existing literature, presenting some of the principal methods developed and results obtained to date. Accompanied by numerous illustrations, the text is an excellent reference for engineers, researchers and students working in communication networks.

Book Cross layer Design and Optimization of Short Range Wireless Networks

Download or read book Cross layer Design and Optimization of Short Range Wireless Networks written by Tianqi Wang and published by . This book was released on 2011 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Short-range wireless networks, such as wireless sensor networks, have become an integral part of our modern lives and have been broadly applied in many fields such as industry, military and research to facilitate the gathering and distribution of information. Compared with traditional wireless networks, such as cellular networks, short-range wireless networks have the following unique characteristics. (i) Dense deployment: the network devices are often densely deployed to achieve better monitoring of the environment. (ii) Circuit power consumption: due to the short communication distances, the network devices communicate with each other using low transmit power that is comparable to the devices' circuit power consumption. Thus, circuit power consumption is a major contributor to the energy drain of the network devices. (iii) Battery powered: the network devices are usually battery powered and may be deployed in remote areas. Thus, it is difficult or even impossible to replace the energy supplies of many of the network devices in a short-range wireless network. Therefore, maximizing the energy efficiency of short-range wireless networks is of paramount importance. In this dissertation, I explore the cross-layer design principle to improve the energy efficiency of energy constrained short-range wireless networks, while fully considering their unique characteristics as outlined above. In order to maximize energy efficiency, my research focuses on the cross-layer optimization of the physical layer, the data link layer, the multiple access layer, the network layer, and the application layer. In this dissertation, I (i) develop an energy efficient cross-layer design of the physical layer and the data link layer in a typical narrowband system over an additive white Gaussian noise (AWGN) channel and a Rayleigh fading channel, as well as in a typical Impulse Radio Ultra Wideband (IR-UWB) system over a frequency selective channel; (ii) optimize the energy efficiency of a clustered wireless network by choosing the optimal transmit power, selecting the optimal cluster head, and deciding whether or not to use multi-hop routing within a cluster; and (iii) optimize the energy efficiency of a short-range wireless network with distributed source coding (DSC) and adaptive transmission, as well as with DSC over Gaussian multiple access channels. Compared with existing work in the literature, I make unique contributions in this dissertation in the following aspects. First, the unique characteristics of short-range wireless networks, such as dense deployment and circuit power consumption, are considered in all of my cross-layer optimizations. Second, I focus on achieving a balance between cost and performance during the development of the cross-layer optimization schemes, due to the limited computational capacity of the network devices in short-range wireless networks. Third, throughout this dissertation, I develop universal optimal solutions that are highly parameterized and directly applicable in general scenarios. My research results in a large improvement in the energy efficiency of devices for short-range wireless networks"--Leaves v-vi.

Book Machine Learning for Future Wireless Communications

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.

Book Cross layer Optimization and Cooperative Communications in Wireless Networks

Download or read book Cross layer Optimization and Cooperative Communications in Wireless Networks written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross-layer optimization and cooperative communications in wireless networks.

Book Cross Layer Optimization of Complex Wireless Environments

Download or read book Cross Layer Optimization of Complex Wireless Environments written by Stephen B. Gwanvoma and published by . This book was released on 2014 with total page 142 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cross-layer design and optimization is a new technique which can be used to design and improve the performance in both wireless and wireline networks. The central idea of cross-layer design is to optimize the control and exchange of information over two or more layers to achieve significant performance improvements by exploiting the interaction between various protocol layers. Designing for wireless networks such as cellular networks, WLANs, mobile ad hoc networks (MANETs) and Wireless Sensor Networks (WSNs), poses more stringent requirements than wireline networks and are considerably different in their applications and architectures, although all use wireless channel for communication. Promising results achieved by cross-layer optimizations initiated significant research activity in this area. Due to features such as ease of deployment, increased coverage and enhanced capacity, multi hop wireless networks like ad hoc networks, and mixed network that form the network in a self-organized manner without relying on fixed infrastructure is touted as the new frontier of wireless networking. This work aims to review the present study on the cross-layer paradigm for QoS support in multi-hop wireless networks. Several examples of evolutionary and revolutionary cross-layer approaches are presented in detail. The Cross-Talk architecture represents one of the more aggressive approaches to cross layer improvement. This architecture enables performance related decisions at the global level that can propagate down to the local layer. This architecture fits the Mixed Network modeling developed here at MSU for the iNET project. Organizing the Mixed Networks solutions into the framework of the Cross-Talk Architecture will allow this work to build on the body of research already in place for cross layering.-- Abstract.

Book Cross layer Optimization Protocols in Ad hoc Wireless Networks

Download or read book Cross layer Optimization Protocols in Ad hoc Wireless Networks written by Marco Belleschi and published by . This book was released on 2007 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Cross Layer Optimization for Next Generation Wireless Networks

Download or read book Cross Layer Optimization for Next Generation Wireless Networks written by Mauro De Sanctis and published by . This book was released on 2006 with total page 146 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Cross layer Optimization of Wireless Multi hop Networks

Download or read book Cross layer Optimization of Wireless Multi hop Networks written by Pablo Soldati and published by . This book was released on 2007 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: