2020/03/25 by Xingbo Lu, Lu, Xingbo, Weiwei Yang +7 · 4 citations
Computer Science · Engineering · Mathematics · #Advanced Wireless Communication Technologies #Antenna Design and Analysis #FOS: Computer and information sciences #FOS: Electrical engineering #Information Theory (cs.IT) #Signal Processing (eess.SP) #Wireless Communication Security Techniques #cs.IT #eess.SP #electronic engineering #information engineering #math.IT
paper · pdf · doi:10.48550/arxiv.2003.11195
We have investigated an RSBF scheme in an IRS-aided mmWave secrecy system, against multiple single antenna Eves. Considering the AoA-based CSI of Eves' channels is imperfectly known by the legitimate transmitter, we maximize the worst case of ASR for both colluding and non-colluding eavesdropping scenarios
arxiv created 2020/03/25 · openalex publication_date 2020/03/25 · arxiv updated 2020/03/26 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In this letter, we investigate the robust and secure beamforming (RSBF) in an intelligent reflecting surface (IRS) aided millimeter wave (mmWave) multiple input single output (MISO) system, where multiple single antenna eavesdroppers (Eves) are arbitrarily distributed nearby the legitimate receiver. Considering the channel state information (CSI) of Eves' channels is imperfectly known at the legitimate transmitter, the RSBF design problems to maximize the worst case of achievable secrecy rate (ASR) are formulated under the total transmission power and unit-modulus constraints. Since the problems are difficult to solve optimally due to their nonconvexity and coupled variables, we substitute the wiretap channels by a weighted combination of discrete samples and propose a RSBF scheme based on alternating optimization and semidefinite relaxation (SDR) techniques, for both colluding and noncolluding eavesdropping scenarios. Simulation results show that the proposed RSBF scheme can effectively improve the ASR and also outperforms other benchmark schemes.