Physical Layer Security in IRS-Assisted Cache-Enabled Satellite Communications Networks

Abstract

<p>This paper analyzes the physical layer security performance of cache-enabled hybrid satellite-terrestrial networks with intelligent reflecting surfaces (IRS). Content caches are deployed at both satellite and ground station to help fast content delivery to users. The IRS assists in securing communications from the ground station and satellite to the user against an eavesdropper. The connection probability and the secrecy probability are derived in asymptotic and closed-form expressions for both ground station-IRS-user and satellite-IRS-user links under practical channel models. From the obtained results, the secure transmission probability of the system is evaluated, and then maximized by designing the caching probabilities and the transmission rates. Numerical results verify the accuracy of the analysis and demonstrate the performance gains of having IRS support secure content delivery.</p>

Hybrid IRS-Assisted Secure Satellite Downlink Communications: A Fast Deep Reinforcement Learning Approach

“…Research works on employing IRS to assist in securing wireless communication systems initially investigate simple system model of a single-antenna user and a single-antenna eavesdropper [3]- [5]. In [3], an efficient transmit power allocation scheme is proposed to secure the transmission from a multi-antenna AP to a user against an eavesdropper with the help of an IRS.…”

“…[4] studies the offloading latency in a secure single user mobile edge computing system that is assisted by a hybrid IRS. The physical layer security of an IRS-aided cacheenable satellite-terrestrial system is studied in [5] with the focus on the system secure transmission probability. Considering more complex IRS-aided multiple-input multiple-output (MIMO) systems [6], [7] or IRS-aided multiple-input singleoutput (MISO) systems in the presence of multiple eavesdroppers [8], [9], the joint beamforming design for the base station (BS) and IRS is achieved through traditional optimization approaches, i.e., the alternative optimization algorithm or the semidefinite relaxation method with the assumption of perfect channel state information (CSI) being available to the source node.…”

Hybrid IRS-Assisted Secure Satellite-Terrestrial Communications: A Fast Deep Reinforcement Learning Approach

“…Research works on employing IRS to assist in securing wireless communication systems initially investigate simple system model of a single-antenna user and a single-antenna eavesdropper [3]- [5]. In [3], an efficient transmit power allocation scheme is proposed to secure the transmission from a multi-antenna AP to a user against an eavesdropper with the help of an IRS.…”

“…[4] studies the offloading latency in a secure single user mobile edge computing system that is assisted by a hybrid IRS. The physical layer security of an IRS-aided cacheenable satellite-terrestrial system is studied in [5] with the focus on the system secure transmission probability. Considering more complex IRS-aided multiple-input multiple-output (MIMO) systems [6], [7] or IRS-aided multiple-input singleoutput (MISO) systems in the presence of multiple eavesdroppers [8], [9], the joint beamforming design for the base station (BS) and IRS is achieved through traditional optimization approaches, i.e., the alternative optimization algorithm or the semidefinite relaxation method with the assumption of perfect channel state information (CSI) being available to the source node.…”