Location-Based Dynamic Radio Selection for Multi-Radio Devices
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Solution Overview
Problem
Current communication systems in heterogeneous wireless access networks face challenges in dynamically selecting the optimal radio access technology based on location-specific conditions, leading to suboptimal service quality and network performance.
Innovation Solution
A method and system for location-based dynamic radio selection, where a multi-radio mobile device acquires location-based radio information, selects the best radio based on weights calculated from signal strength measurements, and communicates these reports to a remote server to refine radio quality information and weights for other devices, enabling optimal radio selection across different technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a multi-radio mobile device uses multiple different radios in a heterogeneous wireless access network system, then the network connection availability and service quality are improved, but the complexity of selecting the optimal radio access technology increases
Solution Approach 1:
The system performs preliminary actions by collecting radio quality measurements from multiple devices and computing location profiles in advance. The location server stores pre-computed radio quality information and weights for different locations, so when a device needs to select a radio, the decision can be made quickly based on pre-analyzed data rather than real-time complex calculations.
Solution Approach 2:
A location server acts as an intermediary between mobile devices and the heterogeneous wireless access network. The server receives radio quality measurements from devices, computes aggregated location profiles, and provides recommendation data back to devices. This intermediary handles the complex analysis work, simplifying the radio selection process for individual devices while improving overall network reliability.
2Measurement precision
If location-based radio information is collected and processed in real-time, then the accuracy of radio selection is improved, but the processing time and system resources increase
Solution Approach 1:
The system merges radio quality measurements from multiple different devices at the same location to create aggregated location profiles. By combining data from multiple sources, the system achieves higher measurement accuracy and more reliable radio quality assessment. The location server aggregates these measurements and computes representative location profiles that reflect the actual radio conditions at each location.
Solution Approach 2:
The location server performs preliminary computation of location profiles by aggregating and averaging quality information from multiple devices in advance. These pre-computed location profiles are stored and can be quickly retrieved when needed, avoiding the need for real-time processing of individual measurements and significantly reducing processing time for radio selection decisions.
3Reliability
If radio quality measurements are aggregated from multiple devices, then the reliability of location profiles is improved, but the quantity of data to be processed increases
Solution Approach 1:
The system applies local quality by creating specific location profiles for different geographic locations rather than using a single global profile. Each location profile contains radio quality information and weights specific to that location, allowing the system to provide locally optimized radio selection recommendations. This approach improves reliability by capturing location-specific characteristics while managing data volume through spatial organization.
Solution Approach 2:
The location server transforms raw radio quality measurements into processed location profiles with computed average quality information and radio weights. By changing the parameters from individual device measurements to aggregated location-level statistics, the system maintains high reliability through data aggregation while reducing the complexity and volume of data that individual devices need to process for making radio selection decisions.
Data Source
AI summary
A multi-radio mobile device comprises a plurality of different radios. When a location update occurs, the multi-radio mobile device, at a specific location, acquires location-based radio information from a remote location server. The multi-radio mobile device selects a radio for use in the specific location based on the acquired location-based radio information comprising available radios in the specific location and radio weights. The radio is selected from the available radios based on the radio weights in the specific location. Transmissions of a desired service are received in the specific location utilizing the selected radio. Location-based radio measurements reports to the remote location server are generated utilizing signal strength measurements for the received signals. Radio quality information of the available radios is calculated by the location server utilizing location-based radio measurement reports from associated users. The radio weights of the available radios are determined based on the calculated radio quality information.