An IRS-aided convex optimization based beamforming solution for secure communication in multi-user and multi-eavesdropper NLoS MISO networks
摘要
Intelligent reflecting surface (IRS) is emanating as a popular performance enhancement technology for next-generation wireless networks. Its ability to intelligently control the propagation environment in order to enhance the security of the network from eavesdroppers (Eves) has attracted attention of many researchers to work in this domain. Hence, this paper investigates the security performance of the downlink IRS-aided multiple input single output (MISO) networks in multi-user and multi-Eve non-line-of-sight (NLoS) scenario. Four different IRS-aided MISO system configurations are studied where an IRS is deployed to provide the communication path between the transmitter (Tx) and the receiver (Rx) and to enhance the security performance of the end users. A new joint beamformer based on maximum ratio transmission (MRT) and zero forcing (ZF) beamforming is proposed that can provide unity gain at the legitimate Rx and zero gain at the Eve. Considering NLoS scenario, the presented IRS-aided solution can provide a “virtual hole through the wall" for the legitimate Rx and can block the communication for the Eve. In the context of secrecy analysis, the secrecy capacity is analyzed for the presented solution and the results are compared with the solutions based on MRT and conventional ZF beamforming. It is observed that the proposed solution can outperform the MRT based and conventional ZF based solutions.