Stratospheric Flying Object Arrangement for Wireless Coverage
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Solution Overview
Problem
There is a need for an effective technology to optimally arrange a limited number of flying objects in the stratosphere to provide comprehensive wireless communication coverage, especially when a sufficient number of objects cannot be secured to cover an entire region.
Innovation Solution
The arrangement designing system determines the optimal placement of flying objects by dividing the target region into meshes, calculating points for each potential arrangement based on coverage area and constraint conditions, and using a genetic algorithm to maximize coverage points, ensuring that the highest total points are achieved while considering factors like no-fly areas and communication capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a sufficient number of flying objects are secured to cover the entire region, then wireless communication coverage is improved, but the cost and availability of flying objects deteriorate
Solution Approach 1:
The target region is divided into multiple meshes, and the arrangement determination unit determines optimal positions for flying objects in each mesh independently. This segmentation allows comprehensive coverage to be achieved through coordinated placement of fewer objects across divided regions, rather than requiring a single large-scale deployment that would demand more resources.
2Area of stationary object
If flying objects are arranged to maximize coverage area, then communication capacity is improved, but constraint conditions like no-fly areas and interference may be violated
Solution Approach 1:
The arrangement determination unit pre-evaluates multiple candidate positions within each mesh, calculating coverage area and constraint compliance for each position before finalizing the arrangement. By performing this preliminary assessment, the system ensures that selected positions inherently satisfy no-fly area restrictions and interference constraints while maximizing coverage, rather than attempting corrections after deployment.
Solution Approach 2:
The system calculates total points by combining coverage area metrics with constraint compliance indicators for each arrangement candidate. This feedback mechanism guides the selection process to choose arrangements that simultaneously optimize coverage and satisfy constraints, with the point calculation serving as a quantitative feedback signal for evaluating arrangement quality.
3Manufacturing precision
If a systematic method is used to determine optimal arrangement, then arrangement precision is improved, but computational complexity and processing time increase
Solution Approach 1:
The target region is divided into multiple meshes, and the arrangement determination is performed independently for each mesh. This segmentation reduces the overall computational complexity by breaking down a large-scale optimization problem into smaller, more manageable sub-problems, while still achieving precise overall arrangement through coordination of local solutions.
Solution Approach 2:
The system evaluates and optimizes arrangement positions locally within each mesh based on specific local conditions such as no-fly areas, interference patterns, and coverage requirements unique to that region. This local optimization approach achieves high arrangement precision tailored to local conditions without requiring computationally expensive global optimization of the entire region simultaneously.
Data Source
AI summary
An arrangement determination apparatus is provided comprising a target region identifying unit configured to identify a target region for providing service by a plurality of flying objects, the plurality of flying objects forming a wireless communication area on a ground by emitting a beam toward the ground, a flying object number retrieving unit configured to retrieve a number of the plurality of flying objects, a point retrieving unit configured to retrieve a point for each of a plurality of meshes obtained by dividing the target region, and an arrangement determination unit configured to determine an arrangement of the plurality of flying objects over the target region based on the number of flying objects and the point for each of the plurality of meshes.