HAPS Area Control Using Subarea Antenna Optimization
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Solution Overview
Problem
Existing methods for optimizing communication quality in areas served by high-altitude pseudo-satellites face increased complexity and calculation time when dealing with non-uniform user equipment distribution, particularly in areas with many cells.
Innovation Solution
A communication relay apparatus divides the service area into subareas and optimizes antenna parameters for each subarea, reducing interdependence by adjusting granularity based on user positions and using genetic algorithms for optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optimization is performed for each cell to handle non-uniform UE distribution, then communication quality is improved, but calculation complexity and time required increase exponentially
Solution Approach 1:
The service area is divided into multiple subareas, and optimization is performed sequentially for each subarea rather than for the entire area or each individual cell simultaneously. This segmentation reduces the calculation complexity from exponential to polynomial while maintaining adaptation to non-uniform UE distribution through subarea-level optimization.
Solution Approach 2:
The patent implements dynamic adjustment of optimization granularity, switching between cell-level optimization (for high precision requirements) and subarea-level optimization (for reduced complexity). This dynamic approach allows the system to adapt calculation depth to actual needs, balancing communication quality with computational resources.
2Reliability
If optimization is performed for each cell to handle non-uniform UE distribution, then communication quality is improved, but time required for optimization increases
Solution Approach 1:
By dividing the service area into subareas and performing sequential optimization, the total optimization time is reduced from exponential O(N!) to polynomial O(N^2) or O(N^3), making real-time or near-real-time optimization feasible while still adapting to non-uniform UE distribution.
Solution Approach 2:
The patent optimizes parameters at the subarea level rather than at the finest cell level, accepting a slight reduction in precision to achieve significant time savings. This partial action approach provides sufficient communication quality improvement without the prohibitive time cost of full cell-level optimization.
3Manufacturing precision
If antenna parameters are optimized at fine granularity for each cell, then communication quality is improved, but calculation amount increases exponentially
Solution Approach 1:
The service area is divided into multiple subareas, and optimization is performed sequentially for each subarea rather than for the entire area or each individual cell simultaneously. This segmentation reduces the calculation complexity from exponential to polynomial while maintaining adaptation to non-uniform UE distribution through subarea-level optimization.
Solution Approach 2:
The patent applies different optimization granularities to different regions: cell-level optimization is applied where high precision is needed (e.g., areas with dense UE distribution), while subarea-level optimization is applied in other regions. This local quality approach maintains necessary precision while reducing overall calculation burden.
Data Source
AI summary
It is provided of a communication relay apparatus of aerial-floating type (HAPS) capable of appropriately performing a division into subareas used for an area optimization in dynamic area control that can respond to a change in distribution of terminal apparatuses in a service area configured with plural cells formed toward the ground, depending on a status of the service area. The communication relay apparatus of aerial-floating type (HAPS) estimates positions of plural terminal apparatuses positioned in a service area, divides the service area into plural subareas including plural cells, optimizes plural kinds of antenna parameters of an antenna for service link for each of the subareas, based on an estimation result of positions of plural terminal apparatuses, and applies, to the antenna for service link, optimal values of the plural kinds of antenna parameters after completing the optimization of each subarea for all of the plural subareas. The service area is divided into plural subareas so that an interdependence between the subareas is reduced.