| Description |
1 online resource. |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
River Publishers series in communications
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River Publishers series in communications.
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| Bibliography |
Includes bibliographical references and index. |
| Contents |
Front Cover; Half Title Page; RIVER PUBLISHERS SERIES IN COMMUNICATIONS; Title Page -- Optimization Methods for User Admissions and Radio Resource Allocation for Multicasting over High Altitude Platforms; Copyright Page; Contents; Preface; List of Figures; List of Tables; List of Abbreviations; Chapter 1 -- Introduction; 1.1 An Overview on HAPs; 1.2 Types of HAPs; 1.3 HAP Radio Regulations; 1.4 Recent Research Works in HAPs; Chapter 2 -- Radio Resource Allocation and User Admission Control in HAPs; 2.1 Differences between RRA in HAP Systems and Terrestrial Cellular Systems |
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2.2 Problem Description, Description and Motivation of the Problem and the Proposed Joint AC-RRA Scheme2.3 Relation between the Research Work Discussed in this Book with the Previous Works; 2.4 Scope and Research Contribution in this Book; Chapter 3 -- Multicasting in a Single HAP System:System Model and Mathe maticalFormulation; 3.1 System Model; 3.2 Key Differences in the Fundamental Equations that Describe E-Prob and P-Prob; 3.3 Formulation of E-Prob; 3.4 Reducing the Formulation to a Mixed Binary Polynomial Constrained Problem |
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3.5 Reduction of the Formulation to a Mixed Binary Quadratic Constrained Program3.6 Comparison of the Formulation Sizes with the Aid of a Numerical Example; 3.7 Chapter Conclusion; Chapter 4 -- Proposed Solution Method: Branching Schemes and a Presolving Linearization-Based Reformulation; 4.1 A Presolving Linearization for a Particular Quadratic Constraint Set of the Formulation; 4.2 Branch and Bound-Based Solution Framework; 4.3 Branching Techniques; 4.3.1 Random Branching; 4.3.2 Most Infeasible Branching; 4.3.3 Pseudocost Branching; 4.3.4 Strong Branching |
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4.3.5 Hybrid Strong/Pseudocost Branching4.3.6 Reliability Branching; 4.3.7 Inference Branching; 4.3.8 Cloud Branching; 4.4 Computational Experiments and Results; 4.4.1 Reformulation Linearization at the Presolving Phase; 4.4.2 Branching Schemes; 4.5 Chapter Conclusion; Chapter 5 -- Proposed Solution Method: Cutting Planes, Domain Propagation and Primal Heuristics; 5.1 Cutting Planes and Cut Separation Process; 5.2 Domain Propagation; 5.2.1 Domain Propagation Schemes for QuadraticConstraints; 5.2.2 Domain Propagation Schemes for LinearConstraints; 5.3 Primal Heuristics; 5.3.1 Pseudocost Diving |
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5.3.2 Clique Partition-Based Large Neighborhood Search Heuristic5.3.3 Undercover Heuristic; 5.4 Computational Experiments; 5.4.1 Results of the Conducted Experiments; 5.5 Chapter Conclusion; Chapter 6 -- Conclusion and Future Work; 6.1 Conclusion; 6.2 Future Work; Bibliography; Index; About the Authors; Back Cover |
| Summary |
This book focuses on the issue of optimizing radio resource allocation (RRA) and user admission control (AC) for multiple multicasting sessions on a single high altitude platform (HAP) with multiple antennas on-board. HAPs are quasi-stationary aerial platforms that carry a wireless communications payload to provide wireless communications and broadband services. They are meant to be located in the stratosphere layer of the atmosphere at altitudes in the range 17-22 km and have the ability to fly on demand to temporarily or permanently serve regions with unavailable telecommunications infrastructure. An important requirement that the book focusses on is the development of an efficient and effective method for resource allocation and user admissions for HAPs, especially when it comes to multicasting. Power, frequency, space (antennas selection) and time (scheduling) are the resources considered in the problem over an orthogonal frequency division multiple access (OFDMA) HAP system. Due to the strong dependence of the total number of users that could join different multicast groups, on the possible ways we may allocate resources to these groups, it is of significant importance to consider a joint user to session assignments and RRA across the groups. From the service provider's point of view, it would be in its best interest to be able to admit as many higher priority users as possible, while satisfying their quality of service requirements. High priority users could be users subscribed in and paying higher for a service plan that gives them preference of admittance to receive more multicast transmissions, compared to those paying for a lower service plan. Also, the user who tries to join multiple multicast groups (i.e. receive more than one multicast transmission), would have preferences for which one he would favor to receive if resources are not enough to satisfy the QoS requirements. Technical topics discussed in the book include: * Overview on High Altitude Platforms, their different types and the recent works in this area * Radio Resource Allocation and User Admission Control in HAPs * Multicasting in a Single HAP System: System Model and Mathematical Formulation * Optimization schemes that are designed to enhance the performance of a branch and bound technique by taking into account special mathematical structure in the problem formulation. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Artificial satellites in telecommunication.
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Artificial satellites in telecommunication. |
| Genre/Form |
Electronic books.
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| Added Author |
Alfa, Attahiru, author.
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| Other Form: |
Print version: Ibrahim, Ahmed. Optimization Methods for User Admissions and Radio Resource Allocation for Multicasting over High Altitude Platforms. Aalborg : River Publishers, ©2019 9788770220361 |
| ISBN |
8770220352 (electronic book) |
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9788770220354 (electronic book) |
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8770220360 |
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9788770220361 |
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