Power-Per-Data-Rate Path Selection for Mobile Heterogeneous Networks
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Solution Overview
Problem
Mobile devices face challenges in extending battery life and ensuring quick data communication due to varying power requirements and data rates across different communication paths in heterogeneous networks, which existing technologies do not effectively address.
Innovation Solution
A method is developed to identify multiple communication paths, calculate a power efficiency metric by dividing the power level by the data rate for each path, and select the path with the lowest ratio for efficient data transmission, considering both power consumption and data rate, while also implementing a credit mechanism for power expenditure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If mobile devices use multiple communication paths in heterogeneous networks, then data transfer capability is improved, but power consumption increases
Solution Approach 1:
The patent changes the parameter selection criterion from simple power consumption to a composite metric (power per data rate ratio). This allows the system to select communication paths that optimize the balance between power consumption and data transfer capability, rather than minimizing power alone. The processor calculates this ratio for multiple available paths and selects the one with the optimal balance.
Solution Approach 2:
The system dynamically evaluates multiple communication paths and their characteristics (power levels, data rates) in real-time. The processor can switch between different communication paths based on current network conditions, device state, and the calculated power per data rate ratios, making the power consumption adaptive to actual usage requirements.
2Duration of action of moving object
If mobile devices extend battery life by reducing power consumption, then duration of action is improved, but data transfer speed deteriorates
Solution Approach 1:
The patent transforms the single-parameter optimization (power consumption) into a multi-parameter optimization problem by introducing the power per data rate ratio. This allows the system to maintain acceptable data transfer speeds while minimizing power consumption, as the selection criterion explicitly considers both power and data rate rather than power alone.
Solution Approach 2:
The system dynamically adjusts communication path selection based on the calculated ratios, allowing it to adapt to different data transfer requirements. When fast data transfer is needed, the system can select paths with higher data rates even if power consumption increases, while for routine communications, it selects the most power-efficient paths.
Data Source
AI summary
A method includes identifying multiple communication paths extending from a source device and for each path, determining a data rate, a power level used to communicate over at least a portion of the path and a power per data rate value by dividing the power level by the data rate. One of the multiple communication paths is selected such that the selected communication path has the lowest power per data rate value given quality of service requirements of an application. The power per data rate can be optimized from the device perspective as well as an overall network perspective. A message is then sent over the selected communication path.