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Languages : en
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This thesis studies several research problems in the area of wireless local area networks (WLANs) with an objective of improving network efficiency, quality-of-service and user satisfactions. The I E E E 802.11 Working Group has been under rapid development and expansion in recent years following the successful deployment of the 802.11 network around the globe. The thesis work has been striving to study several key problems in these developments and propose effective schemes to improve network performance. The original 802.11 standard presents a simple and robust design, but has relatively low data rate and lacks QoS support. The recent 802.11e standard and the 8 0 2 . l ln proposals aim to significantly improve the network performance in terms of QoS and throughput. In this thesis, an analytical model of I E E E 802.11e WLANs is first presented. With the help of this throughput model, an admission control scheme for a multi-hop 802.11e W L A N is proposed. To fully utilize the high data rate provided by 802.11n, the performance improvement of the M A C protocol by frame aggregation is studied. Two frame aggregation techniques, namely A - M P D U (MAC Protocol Data Unit Aggregation) and A - M S D U (MAC Service Data Unit Aggregation) are considered. Furthermore, a comprehensive network setup is studied where the QoS requirements of the 802.11e M A C and the MIMO physical layer of 8 0 2 . l ln are both considered. Cross-layer design schemes are proposed for WLANs under two different M A C protocols: the carrier sense multiple access with collision avoidance (CSMA/CA)-based 802.11e M A C, and the slotted Aloha M A C . Lastly, the thesis studies the problem of cooperative transmission in a wireless ad-hoc network with extensions to the 802.11 M A C protocols. A complete system framework is proposed for wireless adhoc networks utilizing two different cooperative relaying techniques at the physical layer: the repetition coding and the space-time coding. In the data link.
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Category :
Languages : en
Pages :
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Book Description
This thesis studies several research problems in the area of wireless local area networks (WLANs) with an objective of improving network efficiency, quality-of-service and user satisfactions. The I E E E 802.11 Working Group has been under rapid development and expansion in recent years following the successful deployment of the 802.11 network around the globe. The thesis work has been striving to study several key problems in these developments and propose effective schemes to improve network performance. The original 802.11 standard presents a simple and robust design, but has relatively low data rate and lacks QoS support. The recent 802.11e standard and the 8 0 2 . l ln proposals aim to significantly improve the network performance in terms of QoS and throughput. In this thesis, an analytical model of I E E E 802.11e WLANs is first presented. With the help of this throughput model, an admission control scheme for a multi-hop 802.11e W L A N is proposed. To fully utilize the high data rate provided by 802.11n, the performance improvement of the M A C protocol by frame aggregation is studied. Two frame aggregation techniques, namely A - M P D U (MAC Protocol Data Unit Aggregation) and A - M S D U (MAC Service Data Unit Aggregation) are considered. Furthermore, a comprehensive network setup is studied where the QoS requirements of the 802.11e M A C and the MIMO physical layer of 8 0 2 . l ln are both considered. Cross-layer design schemes are proposed for WLANs under two different M A C protocols: the carrier sense multiple access with collision avoidance (CSMA/CA)-based 802.11e M A C, and the slotted Aloha M A C . Lastly, the thesis studies the problem of cooperative transmission in a wireless ad-hoc network with extensions to the 802.11 M A C protocols. A complete system framework is proposed for wireless adhoc networks utilizing two different cooperative relaying techniques at the physical layer: the repetition coding and the space-time coding. In the data link.
Author: Xuefu Zhou
Publisher:
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Category :
Languages : en
Pages : 132
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An underlying assumption of the traditional layered protocol architecture is that all layers can be optimized independently. Unfortunately, this assumption is not satisfied in wireless networks because wireless links introduce interdependence between PHY and upper layers. This dissertation investigates the impact of channel conditions on the performance of IEEE 802.11 DCF and proposes cross-layer optimization and design approach to improve the performance of DCF in fade channels. First, novel fade-induced packet error rate expressions based on fading statistics and error correction capability are developed. Based on these results, we propose a cross-layer analytical model to analyze the performance of IEEE 802.11 DCF in fading channels. The impact of channel conditions on the DCF performance is revealed. Second, a viable cross-layer optimization and design approach to improve the performance of DCF in fading channels is proposed. By employing the practically measurable PHY information, the DCF can adapt its packet length to maximize the throughput. By deploying multiple antennas at PHY for the purpose of spatial diversity, fading-induced packet error rate is reduced and the DCF performance in fading channels is significantly improved. Ironically, in wireless networks, channel fading and path loss may degrade the signal quality at the receiver and cause fade-induced packet errors; however, they also result in capture effect phenomena to make it possible for some packets to be received successfully in the presence of collision. Well-known capture probability expressions exist for Rayleigh fading channels, i.e., non-line-of-sight environments. However, WLANs using DCF are supposed to be deployed in micro-cellular and pico-cellular environments where Ricean fading channels are more likely to exist. Therefore, we develop a new analytical expression for the capture probability for WLANs using DCF in Ricean fading channels. Furthermore, by incorporating the capture probability expression, we evaluate the DCF performance in fading channels with capture effect. Results show that, with capture effect, the performance of DCF in fading channels is better than that under ideal channel conditions without capture effect.
Author: Shahbaz Khan
Publisher: LAP Lambert Academic Publishing
ISBN: 9783845432298
Category :
Languages : en
Pages : 192
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Book Description
The tremendous growth of Information and Communication Technology (ICT) has unknowingly influenced our lifestyle. We are making more phone calls, exchanging more emails and spending more time on the World Wide Web than we did a decade ago. The nature of information content is also evolving. High definition video streaming, online shopping, online banking and content sharing libraries are some of the new paradigms that have replaced the simple web applications of early days. In such circumstances, the objectives for future networks are more challenging. This book focuses on the IEEE 802.11 MAC and identifies several challenges that require further research. The IEEE 802.11 standard for local area networks, specifically the IEEE 802.11e, is discussed in a tutorial style. The primary focus is on rate-adaptation schemes for multi-rate WLANs stations and design of QoS enabled routing protocol by incorporating information from the IEEE 802.11e compliant MAC. The book serves as a valuable reference for researchers, professionals and students who would like to gain a more formal understanding of Cross-layer optimization techniques and specifically the IEEE 802.11 standard.
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: Stephen B. Gwanvoma
Publisher:
ISBN:
Category : Cross-layer designs (Telecommunications)
Languages : en
Pages : 142
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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 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.
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.
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: Daniel Ernesto Barreto
Publisher:
ISBN:
Category :
Languages : en
Pages : 236
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Book Description
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: Savo Glisic
Publisher: John Wiley & Sons
ISBN: 9780470745731
Category : Technology & Engineering
Languages : en
Pages : 892
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Book Description
With 40% new material the new edition of Advanced Wireless Networks provides a comprehensive representation of the key issues in 4G wireless networks. Focussing on cognitive, cooperative and opportunistic paradigms to provide further increase in network efficiency, the book explores and addresses issues in wireless internet, mobile cellular and WLAN, as well as sensor, ad hoc, bio-inspired, active and cognitive networks. It examines the problem of cross-layer optimisation and network information theory as well as adaptability and reconfigurability in wireless networks. This book is an integral description of future wireless networks and the interconnection between their elements. The information is presented in a logical order within each chapter making it ideal for all levels of reader including researchers involved in modelling and analysis of future networks as well as engineers working in the area. Each chapter starts with introductory material and gradually includes more sophisticated models and mathematical tools concluding with a comprehensive list of references. Fully updated throughout with five new chapters on Opportunistic Communications; Relaying and Mesh Networks; Topology Control; Network Optimization; and Cognitive Radio Resource Management Unifies the latest research on cognitive, cooperative and opportunistic paradigms in wireless communications Provides efficient analytical tools for network analysis Discusses security issues, an essential element of working with wireless networks Supports advanced university and training courses in the field Companion website containing extra appendix on Queuing theory
