Cross Layer Design and Optimization of Wireless Networks PDF Download

Author: Hujun Yin
Publisher:
ISBN:
Category : Wireless communication systems
Languages : en
Pages : 272

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Author: Leonidas Georgiadis
Publisher: Now Publishers Inc
ISBN: 1933019263
Category : Technology & Engineering
Languages : en
Pages : 161

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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: Christina Comaniciu
Publisher: Springer Science & Business Media
ISBN: 0387277501
Category : Technology & Engineering
Languages : en
Pages : 214

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Book Description
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.

Author: Tianqi Wang
Publisher:
ISBN:
Category :
Languages : en
Pages : 470

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Book Description
"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.

Author: Raja Jurdak
Publisher: Springer Science & Business Media
ISBN: 0387390235
Category : Technology & Engineering
Languages : en
Pages : 270

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Book Description
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.

Author: Tat Lee Lim
Publisher:
ISBN:
Category : Delay lines
Languages : en
Pages : 83

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Book Description
Cross-layer design and optimization is a new technique which can be used to design and improve the performance in both wireless and wire line 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 interactions between various protocol layers. In this thesis, a cross-layer design and optimization framework was proposed and the concept of using the optimization agent to provide the exchange and control of information between the protocol layers was also introduced. The approach for this thesis is to investigate the effects of the wireless channel and the performance of a small scale wireless sensor network (WSN) to develop insights that can be used in the design and development of the optimization agent in the proposed cross-layer framework. A tap delay line (TDL) model was developed and simulated in MATLAB to investigate the effects of the wireless channel impairments due to mobility and multipath fading. Performance measurements were also conducted to study the effects of interference and transmission range for a group of networked wireless sensors.

Author: Shengming Jiang
Publisher: Springer Science & Business Media
ISBN: 1447128222
Category : Computers
Languages : en
Pages : 258

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Book Description
This book reviews the challenges of all-optical and wireless networks for the future Internet, with a focus on cross-layer design and optimization. Features: presents a thorough introduction to major networking modes and their effect on Internet development; proposes a new structure favorable for all-optical packet switching; discusses a new quality of service (QoS) provisioning approach, which overcomes the scalability problem of IntServ and the coarse QoS granularity of DiffServ; describes the end-to-end arguments in Internet design, before investigating a solution to congestion control problems in multi-hop wireless and all-optical networks; examines how to exploit multiple-input-multiple-output technology to improve network performance in centralized wireless networks; surveys green networking strategies from a quantitative perspective; suggests a strategic vision for possible developments of network technology for the future Internet.

Author: Christina Comaniciu
Publisher: Springer
ISBN: 9780387503677
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
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.

Author: Fa-Long Luo
Publisher: John Wiley & Sons
ISBN: 1119562252
Category : Technology & Engineering
Languages : en
Pages : 490

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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: Jeff Kennington
Publisher: Springer Science & Business Media
ISBN: 1441961119
Category : Business & Economics
Languages : en
Pages : 384

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Book Description
This book surveys state-of-the-art optimization modeling for design, analysis, and management of wireless networks, such as cellular and wireless local area networks (LANs), and the services they deliver. The past two decades have seen a tremendous growth in the deployment and use of wireless networks. The current-generation wireless systems can provide mobile users with high-speed data services at rates substantially higher than those of the previous generation. As a result, the demand for mobile information services with high reliability, fast response times, and ubiquitous connectivity continues to increase rapidly. The optimization of system performance has become critically important both in terms of practical utility and commercial viability, and presents a rich area for research. In the editors' previous work on traditional wired networks, we have observed that designing low cost, survivable telecommunication networks involves extremely complicated processes. Commercial products available to help with this task typically have been based on simulation and/or proprietary heuristics. As demonstrated in this book, however, mathematical programming deserves a prominent place in the designer's toolkit. Convenient modeling languages and powerful optimization solvers have greatly facilitated the implementation of mathematical programming theory into the practice of commercial network design. These points are equally relevant and applicable in today’s world of wireless network technology and design. But there are new issues as well: many wireless network design decisions, such as routing and facility/element location, must be dealt with in innovative ways that are unique and distinct from wired (fiber optic) networks. The book specifically treats the recent research and the use of modeling languages and network optimization techniques that are playing particularly important and distinctive roles in the wireless domain.