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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
This work presents a thorough review of the state-of-the-arttechniques for maintaining QoS support for multimedia services overwireless networks. Several novel ideas and algorithms on integratedconnection- and packet-level QoS, dynamic radio resource management, and multimedia QoS-aware services are described. Special emphasis isgiven to the following: "Radio Resource Management for Multimedia QoS Support in Wireless""Networks" will be of great interest to research scientists andgraduate students working in the areas of wireless networks and QoSissues for multimedia traffic and related areas.
"Wireless virtualization is emerging as a promising paradigm to tackle the issues of spectrum-crisis and network ossification via enabling common shared substrate of wireless resources among service providers, commonly referred as slices. Due to random nature of wireless channels and limited resources, virtualized wireless network (VWN) requires an efficient resource provisioning policy to operate. The objective of this thesis is to study and propose quality-of-service-aware (QoS-aware) resource provisioning policies applicable to VWNs.The first part of the thesis focuses on the design of resource provisioning policies to satisfy instantaneous requirements (e.g., minimum reserved rates and resources) of slices and minimize the VWN outage due to infeasibility. At first, an optimal algorithm for resource provisioning is developed to simultaneously satisfy the rate and resource (power and sub-carriers) based requirements of two groups of slices. Afterwards, to deal with the issue of infeasibility in VWNs due to limited wireless resources, an admission control policy is proposed. In this context, an optimal admission control algorithm is developed to dynamically adjust the requirements of slices according to channel state information (CSI) and priorities of slices. Finally, to further improve the feasibility region, a joint power, sub-carrier and antenna allocation algorithm is developed for VWN with massive multiple input multiple output (MIMO) setup, where a base station (BS), equipped with large number of antennas, serves users belonging to different slices.The second part of the thesis focuses on more realistic design of VWNs. Specifically, the issues of random, bursty traffic arrival in users' queue, energy-efficiency and uncertain CSI at the BS, often experienced in practice, are addressed through resource provisioning policies. At first, to improve end-user service experience, cross-layer resource provisioning policies are presented. In this context, a dynamic resource provisioning policy, adaptable to both CSI and queue state information (QSI) of VWNs, is proposed to maintain the stable queue state of VWN. Afterwards, to minimize energy consumption, a resource provisioning policy is proposed to satisfy the maximum average packet transmission delay in VWNs to offer reliable end-users' experience. Finally, the issue of uncertain CSI at the BS due to estimation errors is addressed through an energy-efficient robust resource provisioning policy. The total energy consumption of VWN is easily controllable via the cost factors of slices in the proposed policy. Simulations are performed to deeply analyze the effects of system parameters on VWN's performance." --
Due to the highly-varying wireless channels over time, frequency, and space domains, statistical QoS provisioning, instead of deterministic QoS guarantees, has become a recognized feature in the next-generation wireless networks. In this dissertation, we study the adaptive wireless resource allocation problems for statistical QoS provisioning, such as guaranteeing the specified delay-bound violation probability, upper-bounding the average loss-rate, optimizing the average goodput/throughput, etc., in several typical types of mobile wireless networks. In the first part of this dissertation, we study the statistical QoS provisioning for mobile multicast through the adaptive resource allocations, where different multicast receivers attempt to receive the common messages from a single base-station sender over broadcast fading channels. Because of the heterogeneous fading across different multicast receivers, both instantaneously and statistically, how to design the efficient adaptive rate control and resource allocation for wireless multicast is a widely cited open problem. We first study the time-sharing based goodput-optimization problem for non-realtime multicast services. Then, to more comprehensively characterize the QoS provisioning problems for mobile multicast with diverse QoS requirements, we further integrate the statistical delay-QoS control techniques -- effective capacity theory, statistical loss-rate control, and information theory to propose a QoS-driven optimization framework. Applying this framework and solving for the corresponding optimization problem, we identify the optimal tradeoff among statistical delay-QoS requirements, sustainable traffic load, and the average loss rate through the adaptive resource allocations and queue management. Furthermore, we study the adaptive resource allocation problems for multi-layer video multicast to satisfy diverse statistical delay and loss QoS requirements over different video layers. In addition, we derive the efficient adaptive erasure-correction coding scheme for the packet-level multicast, where the erasure-correction code is dynamically constructed based on multicast receivers̕ packet-loss statuses, to achieve high error-control efficiency in mobile multicast networks. In the second part of this dissertation, we design the adaptive resource allocation schemes for QoS provisioning in unicast based wireless networks, with emphasis on statistical delay-QoS guarantees. First, we develop the QoS-driven time-slot and power allocation schemes for multi-user downlink transmissions (with independent messages) in cellular networks to maximize the delay-QoS-constrained sum system throughput. Second, we propose the delay-QoS-aware base-station selection schemes in distributed multiple-input-multiple-output systems. Third, we study the queueaware spectrum sensing in cognitive radio networks for statistical delay-QoS provisioning. Analyses and simulations are presented to show the advantages of our proposed schemes and the impact of delay-QoS requirements on adaptive resource allocations in various environments.
As an important future network architecture, virtual network architecture has received extensive attention. Virtual network embedding (VNE) is one of the core services of network virtualization (NV). It provides solutions for various network applications from the perspective of virtual network resource allocation. The Internet aims to provide global users with comprehensive coverage. The network function requests of hundreds of millions of end users have brought great pressure to the underlying network architecture. VNE algorithm can provide effective support for the reasonable and efficient allocation of network resources, so as to alleviate the pressure off the Internet. At present, a distinctive feature of the Internet environment is that the quality of service (QoS) requirements of users are differentiated. Different regions, different times, and different users have different network function requirements. Therefore, network resources need to be reasonably allocated according to users' QoS requirements to avoid the waste of network resources. In this book, based on the analysis of the principle of VNE algorithm, we provide a VNE scheme for users with differentiated QoS requirements. We summarize the common user requirements into four categories: security awareness, service awareness, energy awareness, and load balance, and then introduce the specific implementation methods of various differentiated QoS algorithms. This book provides a variety of VNE solutions, including VNE algorithms for single physical domain, VNE algorithms for across multiple physical domains, VNE algorithms based on heuristic method, and VNE algorithms based on machine learning method.