Resource Allocation and Interference Coordination Strategies in Heterogeneous Dual-Layer Satellite Networks

TL;DR

This paper proposes a new strategy to improve communication efficiency in satellite networks by combining LEO and GEO satellites with advanced technologies.

Contribution

A novel resource allocation and interference coordination strategy for dual-layer satellite networks is proposed.

Findings

The proposed algorithm effectively manages resources and reduces interference in dual-layer satellite networks.

Simulation results show significant improvements in network performance.

Integration of MEC, in-network caching, and SDN enhances service efficiency.

Abstract

In the face of rapidly evolving communication technologies and increasing user demands, traditional terrestrial networks are challenged by the need for high-quality, high-speed, and reliable communication. This paper explores the integration of heterogeneous satellite networks (HSN) with emerging technologies such as Mobile Edge Computing (MEC), in-network caching, and Software-Defined Networking (SDN) to enhance service efficiency. By leveraging dual-layer satellite networks combining Low Earth Orbit (LEO) and Geostationary Earth Orbit (GEO) satellites, the study addresses resource allocation and interference coordination challenges. This paper proposes a novel resource allocation and interference coordination strategy for dual-layer satellite networks integrating LEO and GEO satellites. We formulate a mathematical optimization problem to optimize resource allocation while minimizing co-channel interference and develop an ADMM-based distributed algorithm for efficient problem-solving. The proposed scheme enhances service efficiency by incorporating MEC, in-network caching, and SDN technologies into the satellite network. Simulation results demonstrate that our proposed algorithm significantly improves network performance by effectively managing resources and reducing interference.

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