Roadway Route Selection Using Historic Network Coverage Thresholds
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Solution Overview
Problem
Consumers face challenges in planning travel to ensure reliable and uninterrupted network connectivity due to varying user needs and limited network coverage information, making it difficult to optimize paths for individual connectivity requirements.
Innovation Solution
A mechanism that uses historic network performance data to identify user-optimal paths with threshold network performance, considering user preferences and transportation modes, and updates network performance data in real-time based on user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If consumers travel to remote locations or along routes with limited network coverage, then they can access diverse locations and experiences, but their network connectivity and communication reliability deteriorate
Solution Approach 1:
The system performs preliminary actions by querying historic network performance data before the user actually travels. It identifies paths with adequate network coverage in advance and provides recommendations, allowing users to plan their trips while knowing what network conditions to expect, thus resolving the contradiction between travel flexibility and connectivity reliability
Solution Approach 2:
The system introduces an intermediary layer between the user and the network. Instead of directly experiencing network conditions during travel, users interact with a third-party system that aggregates, analyzes, and presents network performance information from historic data, enabling them to make informed decisions about travel routes without actually being on the network during the travel event
2Area of stationary object
If service providers deploy extensive cell sites across large geographical areas, then they can provide broader network coverage, but the complexity of managing and monitoring network performance increases
Solution Approach 1:
The system extracts relevant network performance information from the complex web of cell site data. It queries and retrieves only the specific historic performance metrics needed for path evaluation, separating the essential information from the overwhelming complexity of full network management data, thus enabling broad coverage analysis without proportional increase in management complexity
Solution Approach 2:
The system creates a simplified copy or representation of network performance characteristics from historic data. Instead of managing complex real-time network parameters directly, it works with aggregated, pre-processed performance metrics that capture essential patterns, allowing broad area analysis through a simplified data model rather than full network complexity
3Measurement precision
If service providers collect and analyze extensive historic network performance data, then they can provide more accurate path recommendations, but the system complexity and data processing requirements increase
Solution Approach 1:
The system applies partial action by querying and analyzing only the specific historic performance data relevant to the user's intended path and requirements. Rather than processing all available network data, it selectively retrieves and evaluates only the necessary metrics for path evaluation, achieving accurate recommendations with reduced data processing complexity
Solution Approach 2:
The system applies local quality by focusing analysis on specific local characteristics of network performance along particular paths rather than treating the entire network uniformly. It evaluates path-specific performance attributes (such as coverage along a route, signal strength at specific locations) separately, achieving precise localized recommendations without the complexity of analyzing all network parameters globally
Data Source
AI summary
Systems and methods to identify network performance on paths (e.g., roads, highways, hiking routes, etc.) to enhance a customer's experience with a telecommunications service provider during travel are disclosed. The method includes receiving, such as from a user at a mobile device, a request to generate a user-optimal path having at least a threshold level of network performance indicator (e.g., network coverage strength) from a first to second location. The method includes identifying paths between the locations, wherein each path includes reference points with associated network performance indicators and generating a recommendation for optimal paths selected from the paths based on user preferences, network performance indicators at reference points, a mode of transportation, and a telecommunications service provider associated with the user equipment. A user can then use the generated path to better plan their trip to ensure network performance that conforms to their needs.