Wireless Device Radio Selection and Application Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wireless communication devices face challenges in selecting the optimal radio for supporting multiple applications with varying requirements, such as throughput, latency, and interference, leading to suboptimal performance and interference issues among radios.
Innovation Solution
The device determines application requirements and radio preferences, iteratively selects and maps applications to radios based on performance metrics, including interference, to achieve optimal performance by dynamically adjusting radio settings and modifying application requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple radios are used to support different wireless networks, then the device can serve multiple applications with varying requirements, but interference between radios increases and performance becomes suboptimal
Solution Approach 1:
The patent segments the radio selection process into multiple evaluation dimensions including throughput requirements, latency requirements, jitter requirements, connection time requirements, and call drop rate requirements. Each radio is evaluated against these segmented criteria to determine optimal application-radio mapping, thereby reducing interference while maintaining versatility.
Solution Approach 2:
The system dynamically adjusts radio selection and application mapping based on real-time performance metrics. The connection manager iteratively selects radios and maps applications based on current network conditions and application requirements, allowing adaptive optimization that reduces interference while maintaining service quality.
2Productivity
If iterative selection and mapping of applications to radios is performed, then performance is optimized, but device complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where the connection manager monitors performance metrics (throughput, latency, jitter, connection time, call drop rate) and uses this information to iteratively adjust radio selection and application mapping. This feedback-driven optimization improves performance while managing complexity through systematic evaluation procedures.
Solution Approach 2:
The system changes parameters such as radio priorities, selection criteria weights, and mapping configurations based on performance measurements. By adjusting these parameters iteratively, the system optimizes communication performance across different wireless networks while maintaining manageable complexity through parameterized control.
Data Source
AI summary
Techniques for selecting radios and mapping applications to radios on a wireless device are described. The wireless network may have at least one application that is active and a plurality of radios that are available for use. In one design, the wireless device determines requirements of the at least one application, which may be related to throughput, latency, jitter, etc. The wireless device selects at least one radio among the plurality of radios based on the requirements of the at least one application and possibly other factors. The wireless device determines a mapping of the at least one application to the at least one radio based on the requirements of the at least one application, the performance of the at least one radio, and/or other factors. The wireless device maps the at least one application to the at least one radio based on the mapping.