Matching theory for wireless networks
This book provides the fundamental knowledge of the classical matching theory problems. It builds up the bridge between the matching theory and the 5G wireless communication resource allocation problems. The potentials and challenges of implementing the semi-distributive matching theory framework in...
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| Main Authors | , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham, Switzerland :
Springer,
2017.
|
| Series | Wireless networks (Springer (Firm))
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9783319562520 9783319562513 |
| Physical Description | 1 online resource |
Cover
Table of Contents:
- Acknowledgements; Contents; 1 Introduction; 1.1 Emerging Concepts in Wireless Networks; 1.1.1 Device-to-Device Communication; 1.1.2 LTE V2X Communications; 1.1.3 Facebook Content Caching; 1.1.4 mmWave Networks; 1.1.5 LTE-Unlicensed; 1.1.6 Small Cell Networks; 1.2 Matching Theory in Next-Generation Wireless Networks; 1.3 Book Organization; References; 2 Fundamentals of Matching Theory; 2.1 Preliminaries; 2.2 Conventional Matching Models; 2.3 Wireless-Oriented Matching Models; 2.4 Stability and Information Exchange in Matching Solutions; References.
- 3 Stable Marriage Model with Cheating for D2D Communications3.1 D2D Communication Introduction; 3.2 System Model and Problem Formulation; 3.3 Resource Allocation with True Preferences; 3.3.1 Admission Control; 3.3.2 Optimal Power Allocation; 3.3.3 Stable Matching by the GS Algorithm; 3.3.4 Stable Matching by the Minimum Weight Algorithm; 3.4 Cheating: The Strategic Issue in Matching; 3.5 Simulation Results and Analysis; 3.6 Conclusions; References; 4 Stable Fixture Model Implementation in LTE V2X Communications; 4.1 LTE V2X Communication Introduction; 4.2 System Model and Problem Formulation.
- 4.2.1 System Requirements4.2.2 User Uitlity; 4.2.3 Problem Formulation; 4.3 The Stable Fixture Model; 4.3.1 Preference Lists Set up; 4.3.2 The Irving's Algorithm; 4.4 Simulation Results and Analysis; 4.5 Conclusions; References; 5 College Admissions Model for Facebook Content Caching; 5.1 Facebook Hystack Storage System Introduction; 5.2 System Model and Problem Formulation; 5.2.1 Popularity Modeling; 5.2.2 Delay Modeling; 5.2.3 Problem Formulation; 5.3 The College Admissions Model; 5.3.1 Preference Lists Set up; 5.3.2 The Generalized GS Algorithm; 5.4 Simulation Results and Analysis.
- 7.1 LTE-Unlicensed Introduction7.2 System Model and Problem Formulation; 7.2.1 Coexistence Constraints; 7.2.2 Problem Formulation; 7.3 The Student Project Allocation Model; 7.3.1 Preference Lists Set Up; 7.3.2 SPA-(S, P) Algorithm; 7.4 Matching with Externalities; 7.4.1 The External Effect; 7.4.2 Inter-channel Cooperation Strategy; 7.5 Simulation Results and Analysis; 7.6 Conclusions; References; 8 College Admission Game with Transfers for UL Small Cell Communication; 8.1 Introduction; 8.2 System Model; 8.2.1 Network Model; 8.2.2 Objectives of the Nodes.