Multi-Layer Satellite Offloading via Reinforcement Learning
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Solution Overview
Problem
Terrestrial access networks are inadequate for covering large, maritime, and desert areas due to lack of infrastructure, necessitating a satellite-based network infrastructure to expand communication connections, especially with the advent of 6G networks in fields like transportation, industry, and energy.
Innovation Solution
A multi-layer satellite intelligent transportation system utilizing first, second, and third satellites with varying communication coverage, cost, and resources, along with mobile nodes equipped with communication equipment, employs a multi-agent reinforcement learning model to optimize offloading tasks by selecting the most efficient satellite for processing and resource allocation, minimizing processing time and cost.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If terrestrial access networks are used, then communication infrastructure is established in developed regions, but coverage is limited to areas with infrastructure availability
Solution Approach 1:
The patent transitions from terrestrial two-dimensional network coverage to three-dimensional satellite-based coverage by utilizing multiple satellite layers (geostationary, medium earth orbit, and low earth orbit satellites). This spatial dimensionality change enables comprehensive coverage across oceans, deserts, and remote areas where terrestrial infrastructure is unavailable, directly resolving the contradiction between coverage area and environmental adaptability.
2Area of stationary object
If multi-layer satellite system is deployed, then communication coverage is expanded to all regions, but system complexity increases
Solution Approach 1:
The patent segments the satellite communication system into three distinct operational layers: geostationary earth orbit (GEO) satellites for broad coverage, medium earth orbit (MEO) satellites for regional services, and low earth orbit (LEO) satellites for high-capacity communication. This segmentation allows each layer to serve specific functions and geographic regions, managing overall system complexity through modular organization while achieving comprehensive global coverage.
Solution Approach 2:
The patent implements dynamic resource allocation and handover mechanisms that allow mobile nodes to dynamically select optimal satellites based on real-time conditions such as signal strength, communication cost, and resource availability. The system dynamically adjusts routing paths and resource distribution across different satellite layers, transforming the static multi-layer structure into an adaptive, flexible network that manages complexity through dynamic operation.
3Reliability
If communication resources are allocated to multiple satellites, then service quality is improved, but resource allocation complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where mobile nodes continuously report communication quality metrics and resource availability status back to the network controller. Based on this feedback, the system dynamically adjusts resource allocation decisions, optimizing service quality by reallocating resources to satellites with better available capacity and lower costs. This feedback loop enables intelligent resource management that improves reliability while controlling complexity through data-driven decision-making.
Solution Approach 2:
The patent changes key allocation parameters including communication cost weights, resource priority levels, and satellite selection criteria based on real-time network conditions and user requirements. By dynamically adjusting these parameters, the system optimizes resource distribution across multiple satellites to maximize service quality while managing allocation complexity through parameter-based control rather than complex routing algorithms.
Data Source
AI summary
An intelligent transportation system uses a multi-layer satellite. The intelligent transportation system according to an embodiment includes a first satellite, a second satellite that is different from the first satellite in one or more of a communication coverage, a communication cost, and a communication-related resource, a third satellite that is different from the first satellite and the second satellite in one or more of the communication coverage, the communication cost, and the communication-related resource, and one or more mobile nodes that perform data communication with one or more of the first satellite, the second satellite, and the third satellite, and are means of equipped with communication equipment.