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

Area of Science:

• * Satellite Communications
• * Network Engineering

Background:

• * Traditional terrestrial networks face challenges meeting demands for high-speed, reliable communication.
• * Emerging technologies like Mobile Edge Computing (MEC), in-network caching, and Software-Defined Networking (SDN) offer potential solutions.
• * Heterogeneous Satellite Networks (HSN) are crucial for expanding communication coverage and capacity.

Purpose of the Study:

• * To propose a novel resource allocation and interference coordination strategy for dual-layer satellite networks.
• * To enhance service efficiency in HSN by integrating MEC, in-network caching, and SDN.
• * To address challenges in resource allocation and interference coordination within LEO-GEO satellite systems.

Main Methods:

• * Formulation of a mathematical optimization problem for resource allocation and interference minimization.
• * Development of a distributed algorithm based on Alternating Direction Method of Multipliers (ADMM).
• * Integration of MEC, in-network caching, and SDN principles into the satellite network architecture.

Main Results:

• * The proposed strategy effectively manages resources in dual-layer satellite networks.
• * Significant reduction in co-channel interference was achieved.
• * Enhanced overall network performance and service efficiency demonstrated through simulations.

Conclusions:

• * The integrated approach of LEO-GEO satellites with MEC, caching, and SDN improves network capabilities.
• * The ADMM-based algorithm provides an efficient solution for resource allocation and interference coordination.
• * This research contributes to the development of more robust and efficient satellite communication systems.