RIS辅助IIoT通信系统中智能联合安全与延迟确定性性能保障策略
Intelligent Joint Security and Delay Determinacy Performance Guarantee Strategy in RIS-Assisted IIoT Communication Systems
AI总结：
针对IIoT服务多样化QoS需求的挑战，本文利用SNC分析RIS辅助系统的确定性延迟，提出联合优化发射功率、CBL和相移矩阵的按需策略，并引入SID-PDQN算法，仿真显示其性能显著优于DQN等基线方法。
摘要：
随着工业物联网（IIoT）的发展，IIoT服务在延迟、确定性和安全性方面呈现出多样化的服务质量（QoS）需求，这对现有网络资源的适配提出了重大挑战。可重构智能表面（RIS）作为IIoT的关键使能技术，不仅能优化信号传播、提升网络性能，还能确保安全通信和确定性延迟，以缓解数据泄露和窃听等威胁。本文利用随机网络演算（SNC），针对RIS辅助IIoT通信系统在指定解码错误率下进行确定性延迟分析。我们提出一种按需联合策略，在保证安全传输性能的同时最大化延迟确定性，该策略通过联合优化用户端的发射功率、信道块长度（CBL）以及RIS的相移矩阵实现。此外，我们引入状态 interdependence 驱动的参数化深度Q网络（SID-PDQN）算法来智能执行按需性能保障。仿真结果表明，与DQN、Dueling-DQN和DDPG等基线方法相比，所提出的SID-PDQN算法显著提升了网络性能。
英文摘要：
With the advancement of the Industrial Internet of Things (IIoT), IIoT services now exhibit diverse Quality of Service (QoS) requirements in terms of delay, determinacy, and security, which pose significant challenges for alignment with existing network resources. Reconfigurable Intelligent Surface (RIS), a key enabling technology for IIoT, not only optimizes signal propagation and enhances network performance but also ensures secure communication and deterministic delays to mitigate threats such as data leakage and eavesdropping. In this paper, we conduct a deterministic delay analysis under a specified decoding error rate for RIS-assisted IIoT communication systems using Stochastic Network Calculus (SNC). We propose an on-demand joint strategy to maximize delay determinacy while guaranteeing secure transmission performance. This is achieved by jointly optimizing the transmit power, channel blocklength (CBL) at the user end, and the phase shift matrix at the RIS. Furthermore, we introduce a State Interdependence-Driven Parameterized Deep Q-Network (SID-PDQN) algorithm to intelligently enforce on-demand performance guarantees. Simulation results demonstrate that the proposed SID-PDQN algorithm significantly enhances network performance compared to baseline methods such as DQN, Dueling-DQN, and DDPG.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
