Resource Allocation in Backscatter-Assisted Communication Networks

✍ Scribed by Xiaozheng Gao

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 110
• Category: Library

✦ Synopsis

This book investigates the resource allocation in backscatter-assisted communication networks. With the development of backscatter communications, integrating backscatter communication technology into traditional communication networks can improve the network performance significantly. To fully improve the performance of backscatter-assisted communication networks, resource allocation is of special importance. It is worth to mention that the resource allocation in backscatter-assisted communication networks is more challenging than that in traditional communication networks, and the tradeoff of the performance between backscatter communications and traditional communications needs to be carefully considered.

In this book, considering that game theory is an attractive tool for developing and analyzing distributed, flexible, and autonomous networks, we develop the auction-based time scheduling schemes, contract-based time assignment scheme, and evolutionary game-based access point and service selection scheme for the backscatter-assisted radio-frequency-powered cognitive networks, where some important properties such as individual rationality are considered. We also employ the optimization approach and develop a relay mode selection and resource sharing scheme for backscatter-assisted hybrid relay networks to improve the throughput. We believe that the developed resource allocation schemes in this book can provide useful guidance for the design of backscatter-assisted communication networks and future Internet of Things. Graduate students, researchers, and engineers in the field of communication networks can benefit from the book.

✦ Table of Contents

Preface
Contents
Acronyms
1 Introduction
1.1 Background
1.2 Network Structures
1.2.1 Backscatter-Assisted RF-Powered CR Networks
1.2.2 Backscatter-Assisted Hybrid Relay Networks
1.3 Organization
References
2 Auction-Based Time Scheduling
2.1 Introduction
2.2 System Model and Auction Model
2.2.1 System Model
2.2.2 Auction Model
2.3 Fixed-Demand Auction-Based Time Scheduling Mechanism
2.3.1 Winner Determination and Time Scheduling
2.3.2 Pricing Scheme
2.3.3 Analysis of Economic Properties
2.3.4 Computational Efficiency
2.4 Variable-Demand Auction-Based Time Scheduling Mechanism
2.4.1 Winner Determination and Time Scheduling
2.4.2 Pricing Scheme
2.4.3 Analysis of Economic Properties
2.4.4 Computational Efficiency
2.5 Simulation Results
2.6 Conclusions
References
3 Contract-Based Time Assignment
3.1 Introduction
3.2 System Model
3.2.1 Network Model
3.2.2 Contract Model
3.2.3 Utility Functions
3.3 Optimal Contract Design
3.3.1 Contract Formulation
3.3.2 Optimal Pricing
3.3.3 Optimal Backscatter Time
3.4 Simulation Results
3.5 Conclusions
References
4 Evolutionary Game-Based Access Point and Service Selection
4.1 Introduction
4.2 System Model
4.2.1 Network Model
4.2.2 Utility Functions
4.3 Evolutionary Game Formulation and Analysis
4.3.1 Evolutionary Game Formulation
4.3.2 Existence and Uniqueness of the Evolutionary Equilibrium
4.3.3 Stability Analysis of the Evolutionary Equilibrium
4.3.4 Delay in Replicator Dynamics
4.4 Stability Region of Delayed Replicator Dynamics in a Special Case
4.4.1 Descriptions of the Special Case
4.4.2 Stability Region of the Delayed Replicator Dynamics
4.5 Algorithm of the AP and Service Selection
4.6 Numerical Results
4.7 Conclusions
References
5 Throughput-Maximized Relay Mode Selection and Resource Sharing
5.1 Introduction
5.2 System Model
5.2.1 Two-Hop Hybrid Relaying Scheme
5.2.2 Channel Enhancement via Passive Relays
5.3 Problem Formulation
5.4 Performance Maximization with Hybrid Relay Communications
5.4.1 Relay Performance with Fixed Mode Selection
5.4.2 Iterative Algorithm for Relay Mode Selection
5.5 Numerical Results
5.5.1 Motivation for Hybrid Relay Communications
5.5.2 Comparison of Different Mode Selection Algorithms
5.5.3 Throughput Dyanmics in the Max-SNR Algorithm
5.6 Conclusions
References
6 Summary
6.1 Summary of Contributions
6.2 Future Directions
6.2.1 Multi-objective Resource Allocation in Backscatter-Assisted Communication Networks
6.2.2 Robust Resource Allocation in Backscatter-Assisted Communication Networks
6.2.3 Incentive Resource Allocation in Backscatter-Assisted Mobile Communication Networks
6.2.4 Incentive Resource Allocation in Backscatter-Assisted Hybrid Relay Networks
6.2.5 Incentive Resource Allocation in Backscatter-Assisted Communication Networks with Non-orthogonal Multiple Access (NOMA)