Satellite Communication Strategy Computation
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Solution Overview
Problem
Current satellite communication networks, particularly Low Earth Orbit (LEO) constellations, lack visibility into their performance and operational conditions, leading to inconsistent and unreliable data communication services for mobile endpoints, as classical routing protocols are inadequate for managing dynamic satellite communication paths across multiple constellations.
Innovation Solution
A system that computes communication strategies by collecting and analyzing real-time telemetry data, including satellite orbit, topographic, weather, and network performance metrics, to dynamically switch between primary and secondary satellite networks, ensuring resilient and efficient data communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single LEO satellite constellation is used for data communication, then device complexity is reduced, but reliability and network coverage consistency deteriorate
Solution Approach 1:
The patent combines multiple LEO satellite constellations (e.g., Starlink, OneWeb, Iridium) into a unified communication system. The endpoint device maintains connections to satellites from different constellations simultaneously, allowing seamless failover and load balancing. This merging approach resolves the contradiction by achieving high reliability through multi-constellation diversity while managing complexity through standardized protocol stacks and unified routing logic.
Solution Approach 2:
The communication system is designed with multi-functionality to operate across multiple satellite constellations and transmission protocols. The endpoint device incorporates universal transceivers that can interface with different satellite networks, and the routing system can dynamically select among multiple communication paths. This universality enables reliable communication regardless of which specific constellation is available, resolving the reliability-complexity tradeoff.
2Ease of operation
If classical routing protocols are used for satellite communication, then ease of operation is maintained, but adaptability to dynamic satellite conditions deteriorates
Solution Approach 1:
The routing system implements dynamic adaptability by continuously monitoring satellite positions, signal quality, and network conditions. Routing decisions are updated in real-time based on changing orbital mechanics and atmospheric conditions. The system dynamically adjusts transmission parameters, selects optimal satellites, and reroutes traffic as satellites move in and out of coverage areas, resolving the contradiction between operational simplicity and dynamic adaptability through automated real-time optimization.
Solution Approach 2:
The system incorporates feedback mechanisms where communication performance metrics (signal strength, latency, packet loss) are continuously measured and fed back to the routing logic. This feedback enables the system to learn from past performance and adapt routing decisions accordingly. The feedback loop automatically adjusts routing strategies without manual intervention, maintaining ease of operation while achieving high adaptability to dynamic satellite conditions.
3Reliability
If multiple satellite constellations are integrated for communication, then reliability and coverage are improved, but device complexity and path selection difficulty increase
Solution Approach 1:
The patent introduces an intermediary routing system that mediates between the endpoint device and multiple satellite constellations. This intermediary layer handles the complexity of multi-constellation management by implementing standardized interface protocols, unified authentication mechanisms, and centralized routing logic. The intermediary abstracts the underlying complexity from the endpoint device, allowing reliable multi-constellation operation without proportionally increasing device complexity.
Solution Approach 2:
The system manages multi-constellation complexity by dynamically changing operational parameters such as transmission frequency, modulation scheme, and antenna beamforming patterns based on which constellation is being used. These parameter changes are automatically adjusted according to the selected satellite network, allowing the device to adapt to different constellations without requiring fundamentally different hardware architectures, thereby managing complexity while maintaining reliability.
Data Source
AI summary
According to one or more implementations of the disclosure, a device may determine a path of travel of the vehicle. The device may obtain telemetry data associated with the path of travel. The device may compute, based on the telemetry data, a communication strategy whereby the vehicle switches from using a first transceiver to communicate with a primary satellite network and a second transceiver to communicate with a secondary satellite network. The device may cause the vehicle to communicate according to the communication strategy.