Buch, Englisch, 234 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 553 g
Reihe: Wireless Networks
Buch, Englisch, 234 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 553 g
Reihe: Wireless Networks
ISBN: 978-3-031-41811-2
Verlag: Springer
This book discusses the problems of Physical Layer Security (PLS) in Intelligent Reflecting Surface (IRS)-assisted wireless networks.
It also discusses the corresponding methods to solve these problems in a comprehensive style. Furthermore, some potential challenges are well analyzed.
This book is divided into 11 chapters. Chapter 1 introduces the propagation characteristics of IRS-aided PLS communications. From Chapter 2 to Chapter 10,
The authors mainly provide deep investigations of different PLS problems of IRS-aided wireless networks, namely, directional modulation (DM) networks. Chapter 11 draws a conclusion and includes the future research directions.
Researchers working in wireless communications, or advanced-level computer science or electrical engineering students, can learn about secure communication in the physical layer through our book.
Professionals or engineers working in this field will also benefit from this book.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Contents 1 Intelligent Reflecting Surface-aided Physical-layer Security Communications
1.1 Overview of Physical-layer Security
1.2 Overview of Intelligent Reflecting Surface
1.3 Organization of the Monograph
References
2 Enhanced Secrecy Rate Maximization for Directional Modulation Networks via IRS
2.1 Introduction
2.2 System Model
2.3 Proposed high-performance GAI-based Max-SR method
2.3.1 Optimize the beamforming vectors v1 and v2 given the IRS phase-shift matrix ???
2.3.2 Optimize IRS phase-shift matrix ???? given the beamforming vectors2.3.3 Overall Algorithm
2.4 Proposed low-complexity NSP-based Max-SR method
2.4.1 Optimization of beamforming vectors given IRS phase-shift matrix ????
2.4.2 Optimization of IRS phase-shift matrix ???? with given beamforming vectors
2.4.3 Overall Algorithm
2.5 Simulation and Discussion
2.5.1 Impact of the Number of IRS Phase-shift
2.5.2 Impact of the IRS Location
2.6 Conclusion .References
Contents 3 High-performance Estimation of Jamming Covariance Matrix for IRS-aided Directional Modulation Network with a Malicious Attacker
3.1 Introduction
3.2 System Model
3.3 Proposed Three Estimation Methods
3.3.1 Proposed EVD method
3.3.2 Proposed PEM-GD method
3.3.3 Proposed PEM-AO method
3.3.4 Computational Complexity Analysis and CRLBs
3.4 Simulation results and Discussions
3.5 Conclusion
References
4 Beamforming and Power Allocation for Double-IRS-aided Two-Way Directional Modulation Network
4.1 Introduction
4.2 System Model and Problem Formulation4.3 Proposed Transmit Beamforming Methods
4.3.1 Proposed GPG Method of Synthesizing the Phase-Shifting Matrices at Two IRSs
4.3.2 Proposed Max-SV Method
4.3.3 Generalized leakage method 4.4 Proposed HICF Power Allocation Strategy
4.4.1 Problem formulation
4.4.2 2D-ES and 1D-ES PA strategies
4.4.3 Proposed HICF PA strategy
4.5 Simulation Results and Discussions
4.6 Conclusion
4.7 Appendix
References
5 Beamforming and Transmit Power Design for Intelligent Reconfigurable Surface-aided Secure Spatial Modulation
5.1 Introduction
5.2 System Model
5.2.1 IRS-Aided Secure Spatial Modulation System5.2.2 Problem Formulation
5.3 Approximation of the Ergodic Mutual Information
5.3.1 Traditional Approximate Secrecy Rate Expression
5.3.2 Proposed Newly Approximate Secrecy Rate Expression
5.4 Beamforming Design for given transmit power based on Approximate expression of SR
5.4.1 Proposed Max-NASR-SCA
5.4.2 Proposed Max-NASR-DA
5.4.3 Proposed Max-TASR-SDR method
5.5 Transmit Power Design for Given Beamforming based on Approximate Expression of SR
5.5.1 Transmit Power Design based on Proposed NASR
5.5.2 Transmit Power Design based on TASR
5.6 Complexity Analysis
5.7 Simulation Results and Analysis5.7.1 Rayleigh fading channel
5.7.2 Rayleigh fading channel considering path loss
5.8 Conclusion
References
6 IRS-Aided Covert Wireless Communications with Delay Constraint
6.1 Introduction
6.2 System Model
6.2.1 Considered Scenario and Assumptions
6.2.2 Binary Hypothesis Testing at Willie
6.2.3 Transmission from Alice to Bob
6.3 Covert Communication Design with Global Channel State Information
6.3.1 Optimization Problem and Perfect Covertness Condition
6.3.2 Joint Transmit Power and Reflect Beamforming Design
6.3.3 Low-Complexity Algorithm
6.4 Covert Communication Design without Willie’s instantaneous CSI6.4.1 Expression for Covertness Constraint
6.4.2 Optimal Design without Willie’s Instantaneous CSI
6.5 Numerical Results
6.5.1 With Global CSI
6.5.2 Without Willie’s Instantaneous CSI
6.6 Conclusion
6.7 Appendix
6.7.1 Proof of Theorem 6.1
6.7.2 Proof of Lemma 6.1
6.7.3 Proof of Theorem 6.2
References
7 Intelligent Reflecting Surface Aided Secure Transmission with Colluding Eavesdroppers
7.1 Introduction
7.2 System Model and Problem Formulation
7.3 Proposed Solutions
7.3.1 SDR-Based Method
7.3.2 Proposed LC-AO Algorithm7.4 Simulation Results
7.5 Conclusion
References
8 Secure Multigroup Multicast Communication Systems via Intelligent Reflecting Surface
8.1 Introduction
8.2 System Model
8.3 SDR-based Alternating Optimization Method
8.3.1 Optimization with respect to {W????, Q}
8.3.2 Optimization with respect to U
8.3.3 Overall Algorithm and Complexity Analysis
8.4 Low-complexity SOCP-based Algorithm
8.4.1 Optimization with respect to beamforming vector and AN
8.4.2 Optimization with respect to phase shifts
8.4.3 Overall Algorithm and Complexity Analysis8.5 Simulation and analysis
8.6 Conclusion
References
9 Beamforming Design for IRS-aided Decode-and-Forward Relay Wireless Network
9.1 Introduction
9.2 System Model
9.3 Proposed Three High-Performance Beamforming Schemes
9.3.1 Proposed AIS-based Max-RP Method
9.3.2 Proposed NSP-based Max-RP plus MRC Method
9.3.3 Proposed IRSES-based Max-RP plus MRC Method
9.4 Numerical Results
9.5 Conclusion
References
10 Performance Analysis of Wireless Network Aided by Discrete[1]Phase-Shifter IRS
10.1 Introduction .
10.2 System Model
10.3 Performance Loss Derivation and Analysis in the LoS Channels
10.3.1 Derivation of Performance Loss in LoS Channels
10.3.2 Performance Loss of SNR at Bob
10.3.3 Performance Loss of Achievable Rate at Bob
10.3.4 Performance Loss of BER at Bob
10.4 Performance Loss Derivation and Analysis in the Rayleigh Channels
10.4.1 Derivation of Performance Loss in the Rayleigh Channels
10.4.2 Performance Loss of SNR at Bob
10.4.3 Performance Loss of Achievable Rate at Bob
10.4.4 Performance Loss of BER at Bob
10.5 Simulation Results and Discussions
10.6 ConclusionReferences
11 Conclusions and Future Research Directions
