DT-Aided Resource Management in Spectrum Sharing Integrated Satellite-Terrestrial Networks

TL;DR

This paper presents a digital twin-aided resource management framework for integrated satellite-terrestrial networks, optimizing spectrum sharing to reduce congestion amid satellite movement and interference.

Contribution

It introduces a novel time-varying digital twin framework with 3D mapping for joint resource optimization in ISTNs, addressing interference and satellite mobility challenges.

Findings

Superior queue length minimization compared to benchmarks

Effective joint optimization of bandwidth, traffic steering, and resource allocation

Demonstrated robustness in dynamic satellite-terrestrial environments

Abstract

The integrated satellite-terrestrial networks (ISTNs) through spectrum sharing have emerged as a promising solution to improve spectral efficiency and meet increasing wireless demand. However, this coexistence introduces significant challenges, including inter-system interference (ISI) and the low Earth orbit satellite (LSat) movements. To capture the actual environment for resource management, we propose a time-varying digital twin (DT)-aided framework for ISTNs incorporating 3D map that enables joint optimization of bandwidth (BW) allocation, traffic steering, and resource allocation, and aims to minimize congestion. The problem is formulated as a mixed-integer nonlinear programming (MINLP), addressed through a two-phase algorithm based on successive convex approximation (SCA) and compressed sensing approaches. Numerical results demonstrate the proposed method's superior performance in queue length minimization compared to benchmarks.