Integrated Satellite Resource Planning for Constraint Compliance
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Solution Overview
Problem
Current resource allocation in satellite systems is disjointed, leading to potential violations of system constraints, necessitating an integrated solution for ensuring proper allocation of resources like frequency spectrum and power.
Innovation Solution
The development of resource allocation tools that manage and integrate multiple technologies within satellite systems, including production terminals, satellite frequency spectrum, ground-based beam former resources, and geostationary earth orbit mobile radio resources, to ensure compliance with system constraints and generate configuration profiles for satellite systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are allocated in a disjointed effort, then resource allocation can be performed, but system constraints may be violated
Solution Approach 1:
The patent combines multiple resource allocation functions (frequency spectrum allocation, power allocation, beamformer resource allocation, terminal resource allocation) into a single integrated resource allocation system. This unified approach ensures that all system constraints are simultaneously satisfied while allocating resources, resolving the contradiction between allocation efficiency and constraint compliance.
Solution Approach 2:
The integrated resource allocation system performs multiple allocation functions simultaneously - allocating frequency spectrum, power, beamformer resources, and terminal resources within a single unified framework. This multi-functional approach ensures comprehensive constraint satisfaction across all resource types while maintaining efficient allocation.
2Reliability
If multiple technologies are integrated, then system compliance is ensured, but system complexity increases
Solution Approach 1:
The patent segments the complex integrated resource allocation problem into distinct functional modules: frequency spectrum allocation, power allocation, beamformer resource allocation, and terminal resource allocation. Each module handles specific constraints and resources independently, yet they work together within the unified system, reducing overall system complexity while maintaining comprehensive compliance.
Data Source
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AI summary
A system, method, and apparatus for integrated resource planning for satellite systems are disclosed. The method involves obtaining user communication demand for at least one region. The method further involves generating a beam map comprising at least one beam for each of the regions according to the user communication demand. Also, the method involves generating at least one configuration profile for the satellite system by using the beam map. Additionally, the method involves performing a performance analysis by comparing: the user communication demand versus one of the configuration profiles, the user communication demand versus actual communication demand, one of the configuration profiles versus the actual communication demand, and/or one of the configuration profiles versus another one of the configuration profiles. Further, the method optionally involves determining power flux spectral density (PFSD) for the beam frequency spectrum for each of the beams by using at least one of the configuration profiles.