Adaptive Resource Allocation For Statistical Qos Provisioning In Mobile Wireless Communications And Networks
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Author |
: Qinghe Du |
Publisher |
: |
Total Pages |
: |
Release |
: 2012 |
ISBN-10 |
: OCLC:779191091 |
ISBN-13 |
: |
Rating |
: 4/5 (91 Downloads) |
Synopsis Adaptive Resource Allocation for Statistical Qos Provisioning in Mobile Wireless Communications and Networks by : Qinghe Du
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.
Author |
: Jia Tang |
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: |
Total Pages |
: |
Release |
: 2010 |
ISBN-10 |
: OCLC:609599636 |
ISBN-13 |
: |
Rating |
: 4/5 (36 Downloads) |
Synopsis QoS-driven Adaptive Resource Allocation for Mobile Wireless Communications and Networks by : Jia Tang
Quality-of-service (QoS) guarantees will play a critically important role in future mobile wireless networks. In this dissertation, we study a set of QoS-driven resource allocation problems for mobile wireless communications and networks. In the first part of this dissertation, we investigate resource allocation schemes for statistical QoS provisioning. The schemes aim at maximizing the system/network throughput subject to a given queuing delay constraint. To achieve this goal, we integrate the information theory with the concept of effective capacity and develop a unified framework for resource allocation. Applying the above framework, we consider a number of system infrastructures, including single channel, parallel channel, cellular, and cooperative relay systems and networks, respectively. In addition, we also investigate the impact of imperfect channel-state information (CSI) on QoS pro-visioning. The resource allocation problems can be solved efficiently by the convex optimization approach, where closed-form allocation policies are obtained for different application scenarios. Our analyses reveal an important fact that there exists a fundamental tradeoff between throughput and QoS provisioning. In particular, when the delay constraint becomes loose, the optimal resource allocation policy converges to the water-filling scheme, where ergodic capacity can be achieved. On the other hand, when the QoS constraint gets stringent, the optimal policy converges to the channel inversion scheme under which the system operates at a constant rate and the zero-outage capacity can be achieved. In the second part of this dissertation, we study adaptive antenna selection for multiple-input-multiple-output (MIMO) communication systems. System resources such as subcarriers, antennas and power are allocated dynamically to minimize the symbol-error rate (SER), which is the key QoS metric at the physical layer. We propose a selection diversity scheme for MIMO multicarrier direct-sequence code- division-multiple-access (MC DS-CDMA) systems and analyze the error performance of the system when considering CSI feedback delay and feedback errors. Moreover, we propose a joint antenna selection and power allocation scheme for space-time block code (STBC) systems. The error performance is derived when taking the CSI feedback delay into account. Our numerical results show that when feedback delay comes into play, a tradeoff between performance and robustness can be achieved by dynamically allocating power across transmit antennas.
Author |
: Junting Zhou |
Publisher |
: |
Total Pages |
: 434 |
Release |
: 2005 |
ISBN-10 |
: UOM:39015060808899 |
ISBN-13 |
: |
Rating |
: 4/5 (99 Downloads) |
Synopsis Adaptive Quality-of-service Provisioning in Wireless and Mobile Networks by : Junting Zhou
Author |
: Liansheng Tan |
Publisher |
: CRC Press |
Total Pages |
: 503 |
Release |
: 2017-08-15 |
ISBN-10 |
: 9781498769457 |
ISBN-13 |
: 1498769454 |
Rating |
: 4/5 (57 Downloads) |
Synopsis Resource Allocation and Performance Optimization in Communication Networks and the Internet by : Liansheng Tan
This book provides a comprehensive introduction to the underlying theory, design techniques and analytical results of wireless communication networks, focusing on the core principles of wireless network design. It elaborates the network utility maximization (NUM) theory with applications in resource allocation of wireless networks, with a central aim of design and the QoS guarantee. It presents and discusses state-of-the-art developments in resource allocation and performance optimization in wireless communication networks. It provides an overview of the general background including the basic wireless communication networks and the relevant protocols, architectures, methods and algorithms.
Author |
: Wenjuan Yu |
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: |
Total Pages |
: |
Release |
: 2018 |
ISBN-10 |
: OCLC:1063518327 |
ISBN-13 |
: |
Rating |
: 4/5 (27 Downloads) |
Synopsis Statistical Delay QoS Driven Resource Allocation and Performance Analysis for Wireless Communication Networks by : Wenjuan Yu
Author |
: Lagkas, Thomas D. |
Publisher |
: IGI Global |
Total Pages |
: 438 |
Release |
: 2013-06-30 |
ISBN-10 |
: 9781466641907 |
ISBN-13 |
: 1466641908 |
Rating |
: 4/5 (07 Downloads) |
Synopsis Evolution of Cognitive Networks and Self-Adaptive Communication Systems by : Lagkas, Thomas D.
Cognitive networks can be crucial for the evolution of future communication systems; however, current trends have indicated major movement in other relevant fields towards the integration of different techniques for the realization of self-aware and self-adaptive communication systems. Evolution of Cognitive Networks and Self-Adaptive Communication Systems overviews innovative technologies combined for the formation of self-aware, self-adaptive, and self-organizing networks. By aiming to inform the research community and the related industry of solutions for cognitive networks, this book is essential for researchers, instructors, and professionals interested in clarifying the latest trends resulting in a unified realization for cognitive networking and communication systems.
Author |
: |
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: |
Total Pages |
: 1006 |
Release |
: 2008 |
ISBN-10 |
: STANFORD:36105133522040 |
ISBN-13 |
: |
Rating |
: 4/5 (40 Downloads) |
Synopsis Dissertation Abstracts International by :
Author |
: Calin Curescu |
Publisher |
: |
Total Pages |
: 97 |
Release |
: 2003 |
ISBN-10 |
: 9173736422 |
ISBN-13 |
: 9789173736428 |
Rating |
: 4/5 (22 Downloads) |
Synopsis Adaptive QoS-aware Resource Allocation for Wireless Networks by : Calin Curescu
Author |
: Tho Le-Ngoc |
Publisher |
: Springer |
Total Pages |
: 124 |
Release |
: 2017-05-10 |
ISBN-10 |
: 9783319576930 |
ISBN-13 |
: 3319576933 |
Rating |
: 4/5 (30 Downloads) |
Synopsis Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints by : Tho Le-Ngoc
This SpringerBrief presents radio resource allocation schemes for buffer-aided communications systems over fading channels under statistical delay constraints in terms of upper-bounded average delay or delay-outage probability. This Brief starts by considering a source-destination communications link with data arriving at the source transmission buffer. The first scenario, the joint optimal data admission control and power allocation problem for throughput maximization is considered, where the source is assumed to have a maximum power and an average delay constraints. The second scenario, optimal power allocation problems for energy harvesting (EH) communications systems under average delay or delay-outage constraints are explored, where the EH source harvests random amounts of energy from renewable energy sources, and stores the harvested energy in a battery during data transmission. Online resource allocation algorithms are developed when the statistical knowledge of the random channel fading, data arrivals, EH processes governing the system dynamics is unknown a-priori. This Brief continues with a source-relay-destination communications link with buffers available at both source and relay, as part of a multi-hop network. Optimal resource allocation schemes for this 3-node relaying system to maximize its effective capacity under a delay-outage constraint are proposed, with special emphasis on relay roles: Half-duplex (HD) or full-duplex (FD) relay operation. With HD relay, the adaptive link selection relaying problem jointly with both fixed and adaptive power allocation schemes is investigated. Within each transmission frame, either the source-relay link or the relay-destination link is selected to be active depending on the channel conditions. With FD relay under the presence of non-zero residual self-interference (SI). This Brief also presents source and relay power allocation schemes for both cases of available knowledge of the channel state information at transmitter (CSIT): instantaneous or statistical. Professional and researchers working in this related field and advanced-level students in electrical or computer engineering will find the content valuable as a reference.
Author |
: Martin Schubert |
Publisher |
: Now Publishers Inc |
Total Pages |
: 164 |
Release |
: 2006 |
ISBN-10 |
: 9781933019314 |
ISBN-13 |
: 193301931X |
Rating |
: 4/5 (14 Downloads) |
Synopsis QoS-based Resource Allocation and Transceiver Optimization by : Martin Schubert
QoS-Based Resource Allocation and Transceiver Optimization derives a comprehensive theoretical framework for SIR balancing, with and without noise. The theory considers the possible use of receive strategies (e.g. interference filtering or channel assignment), which can be included in the model in an abstract way. Power allocation and receiver design are mutually interdependent, thus joint optimization strategies are derived. QoS-Based Resource Allocation and Transceiver Optimization provides a better understanding of interference balancing and the characterization of the QoS feasible region. It also provides a generic algorithmic framework, which may serve as a basis for the development of new resource allocation algorithms. QoS-Based Resource Allocation and Transceiver Optimization is an invaluable resource for every engineer and researcher working on multiuser interference problems in wireless communications.