5G Weight Value Optimization Using 3D Grid Mapping
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Solution Overview
Problem
Existing 5G mobile communication technology weight value optimization schemes for vertical scenarios lack accuracy in evaluating 5G wireless signal coverage due to reliance on 2D data for 3D space optimization, failing to effectively identify vertical dimension information.
Innovation Solution
An adaptive optimization method that establishes a 3D grid using 5G Measurement Report (MR) sample points, identifies business and weak depth coverage grid elements, and determines weight value combinations based on path loss to improve coverage, incorporating vertical dimension information for precise signal evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If 2D data is used for 3D space optimization, then the optimization process is simplified, but the accuracy of 5G wireless signal coverage evaluation deteriorates
Solution Approach 1:
The patent transforms the optimization from 2D to 3D space by establishing a three-dimensional grid system that incorporates vertical dimension information. This allows accurate evaluation of 5G wireless signal coverage in vertical scenarios while maintaining computational feasibility through systematic grid-based discretization of the 3D space.
2Measurement precision
If vertical dimension information is incorporated, then coverage evaluation accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent segments the 3D space into a three-dimensional grid of discrete elements, where each grid element can be independently processed. This segmentation allows the complex 3D coverage evaluation to be broken down into manageable units, improving computational efficiency while maintaining vertical dimension accuracy.
Solution Approach 2:
The patent applies different processing strategies to different grid elements based on their characteristics. Business grid elements and weak depth coverage grid elements are identified and processed differently, allowing computational resources to be allocated efficiently based on local coverage requirements and priorities.
3Loss of information
If 5G MR sample points are mapped to 3D grid elements, then vertical dimension information is captured, but data processing complexity increases
Solution Approach 1:
The patent introduces a three-dimensional grid as an intermediary structure that bridges the 5G MR sample points and the coverage evaluation system. This grid serves as a mediator that organizes and represents spatial information, enabling vertical dimension capture while providing a structured approach to data processing through grid-based indexing and classification.
Data Source
AI summary
An adaptive optimization method for a 5G weight value includes: mapping 5G MR sample points to grid elements of a 3D grid; identifying a type of each grid element; determining a weight value combination; determining a first coverage value based on a first path loss for a center grid element of the business distribution center grid cluster and each weight value combination, determining a first coverage improvement value based on the first coverage value, determining from the weight value combination an initial weight value combination; determining a second coverage value for a weak depth coverage grid element based on a second path loss and each initial weight value combination, determining a second coverage improvement value based on the second coverage value, and determining, from the initial weight value combination, a final weight value combination.