Resource Allocation in Uplink OFDMA Wireless Systems : Optimal Solutions and Practical Implementations.

Tackling problems from the least complicated to the most, Resource Allocation in Uplink OFDMA Wireless Systems provides readers with a comprehensive look at resource allocation and scheduling techniques (for both single and multi-cell deployments) in uplink OFDMA wireless networks--relying on convex...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Dawy, Zaher
Άλλοι συγγραφείς: Yaacoub, Elias E.
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken : John Wiley & Sons, 2012.
Σειρά:IEEE series on mobile & digital communication.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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049 |a MAIN 
100 1 |a Dawy, Zaher. 
245 1 0 |a Resource Allocation in Uplink OFDMA Wireless Systems :  |b Optimal Solutions and Practical Implementations. 
264 1 |a Hoboken :  |b John Wiley & Sons,  |c 2012. 
300 |a 1 online resource (296 pages). 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a IEEE Series on Digital and Mobile Communication 
505 0 |a RESOURCE ALLOCATION IN UPLINK OFDMA WIRELESS SYSTEMS: OPTIMAL SOLUTIONS AND PRACTICAL IMPLEMENTATIONS; CONTENTS; PREFACE; ACKNOWLEDGMENTS; ACRONYMS; CHAPTER 1 INTRODUCTION; 1.1 Evolution of Wireless Communication Systems; 1.2 Orthogonal Frequency Division Multiple Access; 1.3 Organization of this Book; CHAPTER 2 BACKGROUND ON DOWNLINK RESOURCE ALLOCATION IN OFDMA WIRELESS NETWORKS; 2.1 Centralized Single Cell Scheduling; 2.1.1 Continuous Versus Discrete Rates; 2.1.2 Optimal Versus Suboptimal Scheduling; 2.2 Distributed Scheduling; 2.3 Scheduling in Multicell Scenarios. 
505 8 |a 2.3.1 Multicell Scheduling in LTE; 2.4 Summary; CHAPTER 3 ERGODIC SUM-RATE MAXIMIZATION WITH CONTINUOUS RATES; 3.1 Background; 3.2 Problem Formulation; 3.3 Problem Solution; 3.3.1 Solution of the Dual Problem; 3.3.2 Duality Gap Analysis; 3.3.3 Complexity Analysis; 3.3.4 Solution Approach in a MIMO Scenario; 3.4 Achievable Rate Region; 3.4.1 K-user Achievable Rate Region without Rate Constraints; 3.4.2 K-user Achievable Rate Region with Rate Constraints; 3.4.3 Application to the Two-Users Rate Region; 3.5 Results and Discussion; 3.5.1 Simulation Parameters. 
505 8 |a 3.5.2 Multiplier Calculation and Convergence; 3.5.3 Duality Gap Results; 3.5.4 Sum-Rate Results; 3.6 Summary; CHAPTER 4 ERGODIC SUM-RATE MAXIMIZATION WITH DISCRETE RATES; 4.1 Background; 4.2 Problem Formulation; 4.3 Problem Solution; 4.3.1 Duality Gap Analysis; 4.3.2 Complexity Analysis; 4.4 Results and Discussion; 4.4.1 Simulation Model; 4.4.2 Continuous Versus Discrete Rates; 4.4.3 Impact of Modulation and Coding Schemes; 4.4.4 Impact of Varying the User Weights; 4.5 Summary; CHAPTER 5 GENERALIZATION TO UTILITY MAXIMIZATION; 5.1 Background. 
505 8 |a 5.2 Ergodic Utility Maximization with Continuous Rates; 5.2.1 Duality Gap; 5.3 Ergodic Utility Maximization with Discrete Rates; 5.3.1 Duality Gap; 5.4 Summary; CHAPTER 6 SUBOPTIMAL IMPLEMENTATION OF ERGODIC SUM-RATE MAXIMIZATION; 6.1 Background; 6.2 Suboptimal Approximation of the Continuous Rates Solution; 6.3 Suboptimal Approximation of the Discrete Rates Solution; 6.4 Complexity Analysis of the Suboptimal Algorithms; 6.4.1 Complexity Analysis in the Continuous Rates Case; 6.4.2 Complexity Analysis in the Discrete Rates Case; 6.5 Results and Discussion; 6.5.1 Simulation Parameters. 
505 8 |a 6.5.2 Results of the Continuous Rates Approximation; 6.5.3 Results of the Discrete Rates Approximation; 6.5.4 Results in the Case of Imperfect CSI; 6.5.5 Comparison to Existing Algorithms; 6.6 Summary; CHAPTER 7 SUBOPTIMAL IMPLEMENTATION WITH PROPORTIONAL FAIRNESS; 7.1 Background; 7.2 Proportional Fair Scheduling; 7.2.1 PF Scheduling Methods; 7.2.2 Equivalence of PF and NBS; 7.3 Low Complexity Utility Maximization Algorithms; 7.3.1 Complexity Analysis of the Utility Maximization Algorithms; 7.3.2 Comparison to Existing Algorithms; 7.3.3 Rate Calculations; 7.4 Proportional Fair Utilities. 
505 8 |a 7.5 Results and Discussion. 
520 |a Tackling problems from the least complicated to the most, Resource Allocation in Uplink OFDMA Wireless Systems provides readers with a comprehensive look at resource allocation and scheduling techniques (for both single and multi-cell deployments) in uplink OFDMA wireless networks--relying on convex optimization and game theory to thoroughly analyze performance. Inside, readers will find topics and discussions on:Formulating and solving the uplink ergodic sum-rate maximization problemProposing suboptimal algorithms that achieve a close performance to the optimal case at a considerably reduced co. 
588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
650 0 |a Orthogonal frequency division multiplexing. 
650 0 |a Radio resource management (Wireless communications) 
650 4 |a Electrical engineering. 
650 4 |a Engineering. 
650 7 |a Orthogonal frequency division multiplexing.  |2 fast  |0 (OCoLC)fst01737210 
650 7 |a Radio resource management (Wireless communications)  |2 fast  |0 (OCoLC)fst01745903 
655 4 |a Electronic books. 
700 1 |a Yaacoub, Elias E. 
776 0 8 |i Print version:  |a Dawy, Zaher.  |t Resource Allocation in Uplink OFDMA Wireless Systems : Optimal Solutions and Practical Implementations.  |d Hoboken : John Wiley & Sons, ©2012  |z 9781118074503 
830 0 |a IEEE series on mobile & digital communication. 
856 4 0 |u https://doi.org/10.1002/9781118189627  |z Full Text via HEAL-Link 
994 |a 92  |b DG1