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Author: Bing Cao Publisher: ISBN: Category : Electronic dissertations Languages : en Pages :
Book Description
Wireless networks have become crucial to provide mobile users with untethered communication services. Future generation wireless network has naturally evolved as a heterogeneous one, in which different wireless technologies compliment others to provide diverse Quality of Service (QoS). On one side, societal dependence on wireless services demands the survivability as a built-in design initiative. On the other side, resource management strategies are vital to efficiently utilize limited radio resources. This dissertation contributes to research on the resource management for QoS based survivable wireless networks. The main objective is to design adaptive resource schemes that can improve wireless survivability while satisfying QoS requirements. First a multi-layer wireless survivability framework is developed to encompass new features of Third-Generation (3G) cellular systems. Within this framework, adaptive resource management algorithms are utilized as the primary strategy to achieve Radio Network Subsystem (RNS) survivability. New capacity models and capacity utilization models are designed to support the survivability analysis of algorithms for managing the heterogeneous wireless resources of 3G systems. The resource management algorithms developed include an adaptive admission control algorithm with channel switching, QoS and priority. The results show that these adaptive algorithms outperform prior schemes especially in overload situations. The RNS survivability design is further extended to the hybrid wireless context for which different design strategies are studied. A novel utility based adaptive resource management scheme is proposed for the hybrid wireless networks to meet both survivability and QoS expectations. This is shown to achieve effective load balancing and failure tolerance in high traffic overload.
Author: Bing Cao Publisher: ISBN: Category : Electronic dissertations Languages : en Pages :
Book Description
Wireless networks have become crucial to provide mobile users with untethered communication services. Future generation wireless network has naturally evolved as a heterogeneous one, in which different wireless technologies compliment others to provide diverse Quality of Service (QoS). On one side, societal dependence on wireless services demands the survivability as a built-in design initiative. On the other side, resource management strategies are vital to efficiently utilize limited radio resources. This dissertation contributes to research on the resource management for QoS based survivable wireless networks. The main objective is to design adaptive resource schemes that can improve wireless survivability while satisfying QoS requirements. First a multi-layer wireless survivability framework is developed to encompass new features of Third-Generation (3G) cellular systems. Within this framework, adaptive resource management algorithms are utilized as the primary strategy to achieve Radio Network Subsystem (RNS) survivability. New capacity models and capacity utilization models are designed to support the survivability analysis of algorithms for managing the heterogeneous wireless resources of 3G systems. The resource management algorithms developed include an adaptive admission control algorithm with channel switching, QoS and priority. The results show that these adaptive algorithms outperform prior schemes especially in overload situations. The RNS survivability design is further extended to the hybrid wireless context for which different design strategies are studied. A novel utility based adaptive resource management scheme is proposed for the hybrid wireless networks to meet both survivability and QoS expectations. This is shown to achieve effective load balancing and failure tolerance in high traffic overload.
Author: Huan Chen Publisher: Springer Science & Business Media ISBN: 1461504694 Category : Computers Languages : en Pages : 267
Book Description
Due to the great success and enormous impact of IP networks, In ternet access (such as sending and receiving e-mails) and web brows ing have become the ruling paradigm for next generation wireless systems. On the other hand, great technological and commercial success of services and applications is being witnessed in mobile wire less communications with examples of cellular, pes voice telephony and wireless LANs. The service paradigm has thus shifted from the conventional voice service to seamlessly integrated high quality mul timedia transmission over broadband wireless mobile networks. The multimedia content may include data, voice, audio, image, video and so on. With availability of more powerful portable devices, such as PDA, portable computer and cellular phone, coupled with the easier access to the core network (using a mobile device), the number of mobile users and the demand for multimedia-based applications is increasing rapidly. As a result, there is an urgent need for a sys tem that supports heterogeneous multimedia services and provides seamless access to the desired resources via wireless connections. Therefore, the convergence of multimedia communication and wireless mobile networking technologies into the next generation wireless multimedia (WMM) networks with the vision of "anytime, anywhere, anyform" information system is the certain trend in the foreseeable future. However, successful combination of these two technologies presents many challenges such as available spectral bandwidth, energy efficiency, seamless end-to-end communication, robustness, security, etc.
Author: Na Chen Publisher: ISBN: 9780549410577 Category : Telecommunication Languages : en Pages : 232
Book Description
With the rapid increase in data traffic in wireless networks, next-generation wireless communication systems encounter two major issues: QoS provisioning and efficient resource utilization. Radio resource management, which determines the overall system performance and individual user perceived performance, plays a key role in addressing these two issues. In this dissertation, we explore QoS-based resource management in the downlink of wireless cellular networks.
Author: Amila Tharaperiya Gamage Publisher: Springer ISBN: 3319642685 Category : Technology & Engineering Languages : en Pages : 116
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.
Author: Klara Nahrstedt Publisher: Springer Nature ISBN: 3031024826 Category : Mathematics Languages : en Pages : 161
Book Description
This Synthesis Lecture presents a discussion of Quality of Service (QoS) in wireless networks over unlicensed spectrum. The topic is presented from the point of view of protocols for wireless networks (e.g., 802.11) rather than the physical layer point of view usually discussed for cellular networks in the licensed wireless spectrum. A large number of mobile multimedia wireless applications are being deployed over WiFi (IEEE 802.11) and Bluetooth wireless networks and the number will increase in the future as more phones, tablets, and laptops are equipped with these unlicensed spectrum wireless interfaces. Achieving QoS objectives in wireless networks is challenging due to limited wireless resources, wireless nodes interference, wireless shared media, node mobility, and diverse topologies. The author presents the QoS problem as (1) an optimization problem with different constraints coming from the interference, mobility, and wireless resource constraints and (2) an algorithmic problem with fundamental algorithmic functions within wireless resource management and protocols. Table of Contents: Preface / Basics of Quality of Service in Wireless Networks / QoS-Aware Resource Allocation / Bandwidth Management / Delay Management / Routing / Acknowledgment / References / Author Biography
Author: Zaid Zabanoot Publisher: LAP Lambert Academic Publishing ISBN: 9783659209116 Category : Languages : en Pages : 172
Book Description
Over recent years, wireless communication systems have been experiencing a dramatic and continuous growth in the number of subscribers, thus placing extra demands on system capacity. At the same time, keeping Quality of Service (QoS) at an acceptable level is a critical concern and a challenge to the wireless network designer. In this sense, performance analysis must be the first step in designing or improving a network. A good modelling and analysis of the wireless cellular networks will lead to a high level of QoS. In this book, different analytical models of various handoff schemes and resource re-allocation in homogeneous and heterogeneous wireless cellular networks are developed and investigated. The sustained increase in users and the request for advanced services are some of the key motivations for considering the designing of Hierarchical Cellular Networks (HCN). In HCN, calls blocked in a microcell flow over to an overlay macrocell. Microcells can be replaced by WLANs as this can provide high bandwidth and its users have limited mobility features. Efficient sharing of resources between wireless cellular networks and WLANs will improve the capacity as well as QoS metrics.
Author: Weihua Zhuang Publisher: Springer ISBN: 9783030871383 Category : Computers Languages : en Pages : 0
Book Description
This book provides a timely and comprehensive study of dynamic resource management for network slicing in service-oriented fifth-generation (5G) and beyond core networks. This includes the perspective of developing efficient computation resource provisioning and scheduling solutions to guarantee consistent service performance in terms of end-to-end (E2E) data delivery delay. Network slicing is enabled by the software defined networking (SDN) and network function virtualization (NFV) paradigms. For a network slice with a target traffic load, the E2E service delivery is enabled by virtual network function (VNF) placement and traffic routing with static resource allocations. When data traffic enters the network, the traffic load is dynamic and can deviate from the target value, potentially leading to QoS performance degradation and network congestion. Data traffic has dynamics in different time granularities. For example, the traffic statistics (e.g., mean and variance) can be non-stationary and experience significant changes in a coarse time granularity, which are usually predictable. Within a long time duration with stationary traffic statistics, there are traffic dynamics in small timescales, which are usually highly bursty and unpredictable. To provide continuous QoS performance guarantee and ensure efficient and fair operation of the network slices over time, it is essential to develop dynamic resource management schemes for the embedded services in the presence of traffic dynamics during virtual network operation. Queueing theory is used in system modeling, and different techniques including optimization and machine learning are applied to solving the dynamic resource management problems. Based on a simplified M/M/1 queueing model with Poisson traffic arrivals, an optimization model for flow migration is presented to accommodate the large-timescale changes in the average traffic rates with average E2E delay guarantee, while addressing a trade-off between load balancing and flow migration overhead. To overcome the limitations of Poisson traffic model, the authors present a machine learning approach for dynamic VNF resource scaling and migration. The new solution captures the inherent traffic patterns in a real-world traffic trace with non-stationary traffic statistics in large timescale, predicts resource demands for VNF resource scaling, and triggers adaptive VNF migration decision making, to achieve load balancing, migration cost reduction, and resource overloading penalty suppression in the long run. Both supervised and unsupervised machine learning tools are investigated for dynamic resource management. To accommodate the traffic dynamics in small time granularities, the authors present a dynamic VNF scheduling scheme to coordinate the scheduling among VNFs of multiple services, which achieves network utility maximization with delay guarantee for each service. Researchers and graduate students working in the areas of electrical engineering, computing engineering and computer science will find this book useful as a reference or secondary text. Professionals in industry seeking solutions to dynamic resource management for 5G and beyond networks will also want to purchase this book.
Author: Bing Cao
Author: Bing Cao
Author: Huan Chen
Author: Kitti Wongthavarawat
Author: Na Chen
Author: Amila Tharaperiya Gamage
Author: Hao Zhu
Author: Klara Nahrstedt
Author: Zaid Zabanoot
Author: Ionut Cardei
Author: Weihua Zhuang