Satellite Payload Terminal Resource Allocation for QoS Prioritization
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Solution Overview
Problem
Satellite communication networks face performance degradation due to destructive interference and congestion caused by unpredictable flow requests from ground terminals, leading to dropped packets and degraded user data experience, necessitating optimized resource allocation.
Innovation Solution
A method and system for prioritizing flow requests based on attributes like Quality of Service (QOS), rate request, and file size, and dynamically allocating satellite payload terminal resources such as bandwidth and time slots using an optimization process to ensure efficient resource utilization and prevent interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ground terminals are assigned the same time slot and frequency band, then resource utilization increases, but destructive interference arises resulting in performance degradation
Solution Approach 1:
The patent segments the resource allocation into discrete time slots and frequency bands, assigning them systematically to different ground terminals. This segmentation prevents overlapping assignments that would cause interference while maintaining efficient resource utilization through structured allocation.
Solution Approach 2:
The patent implements dynamic resource allocation where time slot and frequency band assignments are adjusted in real-time based on traffic conditions and QOS requirements. This dynamic approach allows optimal resource utilization while preventing interference by adapting assignments to current network state.
2Device complexity
If flow requests are managed without prioritization, then system complexity is reduced, but congestion occurs when offered load exceeds payload capacity resulting in dropped packets
Solution Approach 1:
The patent applies preliminary action by prioritizing flow requests before resource allocation based on QOS levels and traffic characteristics. This pre-prioritization ensures that high-priority traffic is served first during congestion, maintaining packet delivery reliability without requiring complex real-time arbitration.
Solution Approach 2:
The patent changes the parameter of flow request handling by introducing priority levels and QOS-based classification. This transformation converts a simple first-come-first-served approach into a multi-parameter sorting system that maintains reliability while managing complexity through structured classification.
3Speed
If resources are allocated without considering QOS levels, then allocation speed increases, but quality of service degradation occurs due to unpredictable statistical fluctuations
Solution Approach 1:
The patent performs preliminary classification of flow requests by QOS level and traffic type before resource allocation. This pre-processing step enables fast allocation within each priority class while ensuring that high-QOS traffic receives appropriate resource guarantees, maintaining both speed and service quality.
Solution Approach 2:
The patent applies local quality by providing differentiated resource allocation strategies for different QOS levels. High-priority traffic receives guaranteed bandwidth and preferential scheduling, while lower-priority traffic uses available capacity, ensuring QOS guarantees are met without significantly impacting overall allocation speed.
Data Source
AI summary
A method and system for allocating a satellite payload terminal's (payload terminal) resources in response to a plurality of flow requests received by the payload terminal from one or more ground terminals is provided. The method includes, prioritizing the plurality of flow requests received at the payload terminal for a given epoch time based upon one or more attributes of said flow requests; and allocating resources of payload terminal to each said flow requests during said epoch time based on priority of flow requests. The attributes of said flow requests includes one or more of Quality of Service (QOS), rate request, and file size. The system includes one or more payload terminals having a processing unit capable of executing an optimization processes to allocate resources payload terminal resources in response to a plurality of flow request from one or more ground terminals.