Satellite Beam Layout Optimization for Non-Uniform Traffic Demand
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Solution Overview
Problem
Conventional phased-array satellite systems with static beam layouts are suboptimal for non-uniform user and demand distributions, leading to degraded system performance in high throughput or user density regions.
Innovation Solution
A method and system for optimizing beam layout by determining optimal beam centre positions and generating a layout that minimizes distances from these centres, using a parameter density function to map traffic distribution and network state, and incorporating minimization methods to ensure global or near-global minimums are achieved.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a static beam layout with congruent beams is used, then the system provides stable coverage structure, but system performance is degraded in high throughput demand regions located at beam edges
Solution Approach 1:
The patent implements dynamic beam layout optimization by periodically recalculating beam centre positions based on current traffic distribution and network state. The system transitions from static congruent beams to dynamically adjusted beam configurations that adapt to changing user density and throughput demands, resolving the contradiction between structural stability and adaptability to non-uniform traffic patterns
Solution Approach 2:
The system changes key parameters including beam centre positions, beam shapes, and logical boundaries based on optimized calculations. By modifying these parameters in response to traffic distribution changes, the system improves performance in high-demand regions while maintaining overall coverage stability through controlled parameter adjustment
2Adaptability or versatility
If manual beam-by-beam updates are performed, then individual beam configurations can be adjusted, but the optimization process is time-consuming and cannot adapt to evolving traffic patterns
Solution Approach 1:
The system performs preliminary optimization calculations by determining optimal beam centre positions and configurations in advance based on current traffic distribution. This pre-calculated optimization is then applied system-wide, avoiding time-consuming manual beam-by-beam adjustments while maintaining adaptability to traffic patterns through periodic recalculation
Solution Approach 2:
The system implements continuous monitoring of traffic distribution and network state, using this feedback to periodically trigger beam layout optimization. This feedback mechanism enables automatic adaptation to evolving traffic patterns without manual intervention, resolving the time loss associated with manual updates while maintaining configuration flexibility
3Productivity
If additional antenna beams are added for high traffic demand areas, then coverage for hotspots is improved, but the overall beam layout complexity increases
Solution Approach 1:
The patent applies local quality by allowing beam centre positions and beam shapes to vary locally based on traffic density and demand characteristics. High-traffic regions receive optimized beam configurations with appropriate centre positions, while low-traffic regions use standard configurations, improving throughput in hotspots without uniformly increasing overall system complexity
Data Source
AI summary
A beam layout is optimised for a given traffic distribution and network state by determining optimum beam centre positions and generating a beam layout so as to meet system requirements and minimise the distances of locations within a coverage area from the optimum beam centre positions. Adjacent beams in low traffic areas may be merged.