Wang Xuerong, Rao Shanshan, Zhang Liang
China Telecom Research Institute, Guangzhou, 510630, Guangdong, China.
xFusion International Pte.Ltd, Zhengzhou, 450018, Henan, China.
Sci Rep. 2024 Oct 10;14(1):23660. doi: 10.1038/s41598-024-73374-z.
With the rapid development of Internet of Things (IoT) services, technologies that leverage multimedia computer communication for information sharing in embedded systems have become a research focus. To address the challenges of low spectral efficiency and poor network flexibility in multimedia computer communications, this paper proposes a resource allocation scheme based on parallel Convolutional Neural Network (CNN). The scheme optimizes the base station beamforming vector and the Reconfigurable Intelligent Surface (RIS) phase shifts to maximize the secure transmission rate for cellular users (CUs), while ensuring normal and secure communication for device-to-device (D2D) users. First, to mitigate interference caused by D2D users reusing CU spectrum resources, the RIS phase shifts and beamforming vectors are optimized to suppress interference and enhance system secrecy rates. Second, to maximize the CU secrecy rate, the paper proposes a parallel CNN-based resource allocation model that considers base station transmission power, RIS reflection coefficients, and D2D communication rate constraints, incorporating multi-scale residual modules in the convolutional layers of the model. Simulation results demonstrate that the proposed CNN-based resource allocation scheme significantly improves the secrecy rate of embedded system communications, ensuring secure multimedia computing, and outperforms traditional methods.
随着物联网（IoT）服务的快速发展，利用多媒体计算机通信在嵌入式系统中进行信息共享的技术已成为研究热点。为应对多媒体计算机通信中频谱效率低和网络灵活性差的挑战，本文提出了一种基于并行卷积神经网络（CNN）的资源分配方案。该方案优化基站波束成形向量和可重构智能表面（RIS）相移，以最大化蜂窝用户（CU）的安全传输速率，同时确保设备到设备（D2D）用户的正常和安全通信。首先，为减轻D2D用户复用CU频谱资源所造成的干扰，对RIS相移和波束成形向量进行优化，以抑制干扰并提高系统保密率。其次，为最大化CU保密率，本文提出了一种基于并行CNN的资源分配模型，该模型考虑了基站发射功率、RIS反射系数和D2D通信速率约束，并在模型的卷积层中纳入了多尺度残差模块。仿真结果表明，所提出的基于CNN的资源分配方案显著提高了嵌入式系统通信的保密率，确保了安全的多媒体计算，并且优于传统方法。
