Aug 2026· International Conference on Artificial Intelligence, Big Data and Electrical Automation· Vol 14319, pp. 143190Y - 143190Y-8· 0 citations· 10 references
Engineering
TL;DR
Numerical results verify that the proposed soft actor-critic (SAC)-based deep reinforcement learning (DRL) scheme surpasses deep deterministic policy gradient (DDPG) and exceeds conventional successive convex approximation (SCA) at low transmit power.
Abstract
This paper investigates a reconfigurable intelligent surface (RIS)-assisted secure non-orthogonal multiple access (NOMA) network in the presence of both internal eavesdroppers (IEs) and external eavesdroppers (EEs). To mitigate threats of IEs, a reversed successive interference cancellation (SIC) decoding order is adopted. Maximizing the sum secrecy rate is framed as a non-convex optimization challenge, where the primary decision variables are the RIS phase shifts and the transmit precoding matrix. A soft actor-critic (SAC)-based deep reinforcement learning (DRL) scheme is developed to solve this problem. Numerical results verify that the proposed scheme surpasses deep deterministic policy gradient (DDPG) and exceeds conventional successive convex approximation (SCA) at low transmit power. It also converges faster and operates more stably than the DDPG-based approach.
This letter investigates physical layer security (PLS) in a movable-antenna (MA) aided single-input single-output (SISO) orthogonal frequency division multiplexing (OFDM) system, where the eavesdropper (Eve) is known only within a suspicious region and also optimizes its own MA positions. A closed-form artificial noise...
Simulation results demonstrate that compared with benchmark schemes, the proposed algorithm can better guarantee the secrecy rate and effectively track the moving trajectory of the eavesdropper.
Zhen-Dong Li, Wei-Chun Zhao, Zhou Su et al.· 0 citations
Existing secure rate splitting multiple access (RSMA) designs are typically tailored to either external or internal eavesdropping and may be ineffective in mixed scenarios where both coexist. To address mixed internal and external eavesdropping, we propose a novel secure hierarchical RSMA (HRSMA) framework. In this fra...
In this letter, we consider an active simultaneous transmission and reflecting reconfigurable intelligent surface (STAR-RIS) aided spectrum sharing cognitive radio networks, and aims at jointly enhancing the secure transmission performance of primary users (PUs) and secondary users (SUs). Based on the imperfect channel...
Li-Meng Dong, Yin-Chuan Zhang, Yi-Hang Song et al.· IEEE Wireless Communications...· 0 citations
Eavesdropping is a malicious snooping that steals sensitive data during wireless communication. Several researchers have undergone the process of suppressing the eavesdropping challenges in the network. However, the existing methods end with certain limitations, such as complexity issues, high-cost consumption, threa...
A. S. Najan, Shriram D. Markande· International Journal of Coo...· 0 citations
In this paper, we study the physical layer security of reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access (NOMA) downlink systems. A multi-antenna base station (BS) serves two NOMA users in the presence of a passive eavesdropper, and a RIS equipped with N passive phase-shifting elements is em...
Ruwaida A. A. Abdul Kareem, Hussein Ali Alsegmany· ECTI Transactions on Compute...· 0 citations
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