Description
Book SynopsisThis book introduces readers to the fundamentals of the cross-technology coexistence problem in heterogeneous wireless networks. It also highlights a range of mechanisms designed to combat this problem and improve network performance, including protocol design, theoretical analysis, and experimental evaluation.
In turn, the book proposes three mechanisms that can be combined to combat the cross-technology coexistence problem and improve network performance. First, the authors present a fast signal identification method. It provides the basis for the subsequent protocol design and allows heterogeneous devices to adopt proper transmission strategies. Second, the authors present two cross-technology interference management mechanisms in both the time domain and the frequency domain, which can mitigate interference and increase transmission opportunities for heterogeneous devices, thus improving network performance. Third, they present a cross-technology communication mechanism based on symbol-level energy modulation, which allows heterogeneous devices to transmit information directly without a gateway, improving transmission efficiency and paving the way for new applications in IoT scenarios. Lastly, they outline several potential research directions to further improve the efficiency of cross-technology coexistence.
This book is intended for researchers, computer scientists, and engineers who are interested in the research areas of wireless networking, wireless communication, mobile computing, and Internet of Things. Advanced-level students studying these topics will benefit from the book as well.
Table of Contents1. Introduction
1.1 Overview
1.2 Background
1.2.1 The Channel Specifications
1.2.2 The PHY Layer Specifications
1.2.3 The MAC Layer Specifications
1.3 Cross-technology coexistence problem
1.4 Book structure
2. Heterogeneous Signal Identification
2.1 Introduction
2.2 Motivation
2.3 System design
2.3.1 Dataset Construction
2.3.2 Signal identification through FFT features
2.3.3 Signal identification through deep learning
2.4 Experimental evaluation
2.5 Summary
3. Cross-Technology Communication through Symbol-Level Energy Modulation
3.1 Introduction
3.2 Motivation
3.3 System design
3.3.1 Overview
3.3.1 CTC design at the transmitter side
3.3.2 CTC design at the receiver side
3.4 Theoretical analysis
3.5 Experimental evaluation
3.6 Summary
4. Cross-Technology Interference Management in Frequency domain
4.1 Introduction
4.2 Motivation
4.3 System design
4.3.1 Overview
4.3.2 Standard WiFi transmission process
4.3.3 Payload encoding at WiFi transmitter
4.3.4 Process at WiFi transmitter
4.4 Experimental evaluation
4.5 Summary
5. Cross-Technology Interference Management in Time Domain
5.1 Introduction
5.2 Motivation
5.3 System design
5.3.1 Overview
5.3.2 E-CCA design
5.4 Performance Evaluation
5.5 Summary
6. Conclusion and Future Work
6.1 Conclusions
6.2 Future research directions
