Wireless Network Asset Selection for Air-to-Ground Deployment
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Solution Overview
Problem
Existing wireless communication network upgrades are hindered by time-to-market and cost inefficiencies, particularly due to the lack of ubiquity and high costs associated with backhaul services, and the three-dimensional nature of air-to-ground communications introduces additional complexity.
Innovation Solution
A method is developed to automatically evaluate and select existing wireless network assets using multidimensional criteria, which can be mathematically weighted to determine optimal sites for deploying new wireless communication technologies, including air-to-ground communications, thereby reducing construction and operating costs and accelerating deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional ground based wireless communications methodology is used for air-to-ground communication, then two dimensional coverage paradigm is applied, but three dimensional coverage requirements are not met
Solution Approach 1:
The patent transitions from a two-dimensional ground-based coverage model to a three-dimensional air-to-ground coverage model. This involves considering vertical dimensions and aerial propagation characteristics when deploying wireless networks for aircraft communication, thereby adapting the coverage paradigm to match the spatial requirements of air-to-ground communications.
2Area of stationary object
If new sites are proposed for base station deployment, then coverage area is expanded, but time-to-market and construction costs increase due to backhaul deployment requirements
Solution Approach 1:
The patent performs preliminary identification and evaluation of suitable existing sites that already have or can accommodate backhaul infrastructure. By pre-assessing potential locations and their backhaul readiness before actual deployment, the system accelerates the site selection process and reduces time-to-market for new base station deployments.
Solution Approach 2:
The patent leverages existing backhaul infrastructure and assets that are already in place at potential deployment sites. By utilizing pre-existing infrastructure rather than requiring new backhaul construction for each site, the system reduces both construction costs and deployment time while still achieving expanded coverage.
3Ease of operation
If manual site selection methodology is used, then deployment decisions are made, but construction and operating costs increase
Solution Approach 1:
The patent implements an automated evaluation system that provides feedback on site suitability by comparing existing assets against deployment criteria. This systematic feedback mechanism enables objective decision-making that optimizes for both operational ease and cost efficiency, eliminating manual trial-and-error approaches.
Solution Approach 2:
The patent changes the approach from manual qualitative assessment to automated quantitative evaluation by defining and applying specific parameters and criteria for site selection. This parameter-based evaluation system objectively assesses sites based on multiple factors including backhaul availability, infrastructure characteristics, and deployment requirements, leading to cost-optimized decisions.
Data Source
AI summary
A system and method are provided for generating a network design based on existing network assets. One or more parameters regarding a plurality of existing wireless network assets used to provide support for a wireless communication technology can be determined. The plurality of existing wireless network assets are automatically analyzed for supporting equipment of a new wireless communication technology at least in part by comparing a set of specified criteria to the one or more parameters to determine a subset of the plurality of existing wireless network assets. An indication of the subset of the plurality of existing wireless network assets for supporting the equipment of the new wireless communication technology can accordingly be generated.