Intelligent Reflecting Surface-Aided Physical-Layer Security

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 vectors.- 2.3.3 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 Formulation.- 4.3 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 andDiscussions.- 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 System.- 5.2.2 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 Analysis.- 5.7.1 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 CSI.- 6.4.1 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 Algorithm.- 7.4 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 Analysis.- 8.5 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 Conclusion.- References.- 11 Conclusions and Future Research Directions.