Cellular Connectivity Analysis for Optimal Wireless Service
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Solution Overview
Problem
Existing wireless service plans often provide non-optimal service due to suboptimal allocation of bands and technologies, leading to poor performance for wireless devices in specific geographic locations, such as indoors or near tall buildings.
Innovation Solution
A system and method that analyzes cellular connectivity information from various wireless networks and devices to determine the cause of poor performance, allowing for the identification of optimal wireless equipment and service based on geographic location and device type, and outputs recommendations for improving service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If wireless service providers allocate bands and technologies uniformly across all geographic areas, then network deployment complexity is reduced, but wireless service performance deteriorates in specific locations such as indoors or near tall buildings
Solution Approach 1:
The system implements location-specific network optimization by analyzing cellular connectivity data from multiple wireless networks and devices at specific geographic coordinates. It determines optimal band allocations and technology configurations tailored to each location's characteristics (indoor, outdoor, near tall buildings, etc.), rather than applying uniform configurations across all areas. This resolves the contradiction by allowing simplified deployment processes while achieving location-optimized service performance.
2Measurement precision
If wireless providers collect and analyze cellular connectivity information from multiple networks and devices, then service optimization accuracy improves, but system complexity increases
Solution Approach 1:
The system creates a universal analysis platform that processes cellular connectivity information from multiple wireless networks and diverse device types through a single standardized framework. The processor analyzes data from various sources (different carriers, device models, operating systems) using unified algorithms to determine optimal network configurations. This multi-functional approach achieves high optimization accuracy while managing system complexity through standardized processing methods.
Solution Approach 2:
The system introduces an intermediary analysis layer between raw connectivity data and network configuration decisions. The processor acts as a mediator that collects data from multiple networks and devices, analyzes patterns in this diverse information, and translates findings into specific optimization recommendations. This intermediary processing layer enables accurate service optimization by systematically handling the complexity of multi-source data through structured analysis procedures.
3Ease of operation
If a particular wireless network implements a specific allocation of bands and technologies, then network configuration simplicity is maintained, but wireless service quality deteriorates for users in specific geographic locations
Solution Approach 1:
The system implements dynamic network configuration optimization by determining location-specific band allocations and technology settings based on analyzed connectivity data. Instead of static, uniform network configurations, the system identifies optimal dynamic settings for different geographic areas (indoor environments, areas near tall buildings, rural locations, etc.). This allows the network to adapt configurations to local conditions while maintaining operational simplicity through automated analysis and recommendation processes.
Data Source
AI summary
A system configured to analyze cellular connectivity information for at least one wireless network and at least one wireless device includes a processor configured to receive cellular connectivity information from at least one wireless network for at least one wireless device; the processor further configured to receive geographic location information from the at least one wireless network for the at least one wireless device. The system also includes a database configured to store the cellular connectivity information, the geographic location information, and equipment type information related to the at least one wireless device. The processor further configured to analyze the cellular connectivity information and determine a wireless device having poor wireless service performance based on the analysis of the cellular connectivity information. The disclosure additionally includes a process to analyze cellular connectivity information for at least one wireless network and at least one wireless device.