Resource Allocation Driven by Large Models in Future Semantic-Aware Networks

TL;DR

This paper proposes a semantic-aware network architecture utilizing large models and scene graph representations to improve resource allocation efficiency and transmission quality in future intelligent network applications.

Contribution

It introduces a novel network architecture and resource allocation scheme driven by large models, focusing on semantic transmission quality and channel fading effects.

Findings

Achieves high-quality semantic transmission in simulations.

Enhances resource utilization efficiency.

Addresses power allocation with a diffusion model-based scheme.

Abstract

Large model has emerged as a key enabler for the popularity of future networked intelligent applications. However, the surge of data traffic brought by intelligent applications puts pressure on the resource utilization and energy consumption of the future networks. With efficient content understanding capabilities, semantic communication holds significant potential for reducing data transmission in intelligent applications. In this article, resource allocation driven by large models in semantic-aware networks is investigated. Specifically, a semantic-aware communication network architecture based on scene graph models and multimodal pre-trained models is designed to achieve efficient data transmission. On the basis of the proposed network architecture, an intelligent resource allocation scheme in semantic-aware network is proposed to further enhance resource utilization efficiency. In the resource allocation scheme, the semantic transmission quality is adopted as an evaluation metric and the impact of wireless channel fading on semantic transmission is analyzed. To maximize the semantic transmission quality for multiple users, a diffusion model-based decision-making scheme is designed to address the power allocation problem in semantic-aware networks. Simulation results demonstrate that the proposed large-model-driven network architecture and resource allocation scheme achieve high-quality semantic transmission.