Abstract
In this paper, we propose an intelligent reflecting surface (IRS)-aided secure multi-user downlink, where a single base station with multiple antennas sends information and artificial noises with the aid of transmit beamforming and jamming in the presence of multiple eavesdroppers. We investigate the quality-of-service (QoS)-constrained formulation of an optimization problem of beamforming weights, jamming matrix, and the IRS’s phase shifts in order to reduce the total transmit power while satisfying the constraint of a target secrecy rate. To solve the non-convex optimization problem of our framework, we propose an efficient alternating optimization-based iterative algorithm, where the original non-convex problem is divided into sub-problems. Our performance results demonstrate that the proposed scheme is capable of minimizing the transmit power at the base station while satisfying a target secrecy rate.
Highlights
W IRELESS channels have a broadcast nature that makes communications between legitimate transmitter and receiver inherently vulnerable to eavesdropping
While confidentiality is typically attained by the conventional encryption implemented at upper layers, in recent years, physical layer security techniques have emerged as key enablers for ensuring information-theoretically secure wireless communications, including the encryption-less algorithm [1]–[3], the secret key generation [4], and the secret key authentication [5]
QoS-constrained optimization of intelligent reflecting surface (IRS)-aided secure transmission has been investigated [36], [37], where the total transmit power is minimized while satisfying the constraint of a target secrecy rate
Summary
W IRELESS channels have a broadcast nature that makes communications between legitimate transmitter and receiver inherently vulnerable to eavesdropping. Noise (AN)-aided transmit beamforming was introduced to satisfy a desirable quality-of-service (QoS) constraint, which is imposed to maintain a specific target secrecy rate while minimizing the transmit power. QoS-constrained optimization of IRS-aided secure transmission has been investigated [36], [37], where the total transmit power is minimized while satisfying the constraint of a target secrecy rate. We propose QoS-constrained optimization of secure beamforming and jamming in an IRS-aided multi-user system, where a transmitter equipped with multiple antennas communicates with legitimate single-antenna receivers in the presence of multiple single-antenna eavesdroppers. The transmit power is minimized with the joint optimization of the beamforming weights, the AN covariance matrix, and the IRS’s phase shifts under the QoS constraints of signal-to-interferenceplus-noise ratios (SINRs) at legitimate users and eavesdroppers, i.e., those of target secrecy rates for multi-user downlink. Cm×n and Rm×n denote the spaces of m × n complex and real matrices, respectively
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