Resource Allocation and Cross-layer Control in Wireless Networks

Resource Allocation and Cross-layer Control in Wireless Networks PDF 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.

Resource Allocation and Cross-layer Control in Wireless Networks

Resource Allocation and Cross-layer Control in Wireless Networks PDF 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.

Decomposition Methods for Cross-layer Optimization in Wireless Networks

Decomposition Methods for Cross-layer Optimization in Wireless Networks PDF Author: Daniel Ernesto Barreto
Publisher:
ISBN:
Category :
Languages : en
Pages : 236

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Book Description


Wireless Ad Hoc and Sensor Networks

Wireless Ad Hoc and Sensor Networks PDF 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.

Cross-layer Optimization of Wireless Networks

Cross-layer Optimization of Wireless Networks PDF Author: Wei Feng
Publisher:
ISBN:
Category : Wireless communication systems
Languages : en
Pages : 184

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Book Description


Machine Learning for Future Wireless Communications

Machine Learning for Future Wireless Communications PDF 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.

Using Cross-Layer Techniques for Communication Systems

Using Cross-Layer Techniques for Communication Systems PDF Author: Rashvand, Habib F.
Publisher: IGI Global
ISBN: 1466609613
Category : Computers
Languages : en
Pages : 656

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Book Description
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.

Wireless Networks: Multiuser Detection in Cross-Layer Design

Wireless Networks: Multiuser Detection in Cross-Layer Design PDF 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.

Cross Layer Optimization for Protocols in Mobile Adhoc Networks

Cross Layer Optimization for Protocols in Mobile Adhoc Networks PDF Author: Anita Yadav
Publisher: GRIN Verlag
ISBN: 3346132161
Category : Computers
Languages : en
Pages : 142

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Book Description
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.

Cross Layer Design and Optimization of Wireless Networks

Cross Layer Design and Optimization of Wireless Networks PDF Author: Hujun Yin
Publisher:
ISBN:
Category : Wireless communication systems
Languages : en
Pages : 272

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Book Description


Cross-layer Design and Optimization of Short Range Wireless Networks

Cross-layer Design and Optimization of Short Range Wireless Networks PDF 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.