Filtering Closed Loop Power for Accurate Data Rate Requests
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Solution Overview
Problem
In CDMA communication systems, mobile devices often request a lower data rate than they are capable of achieving based on power and traffic conditions due to instantaneous sampling of closed loop correction parameters, leading to poor performance, especially in marginal RF coverage areas.
Innovation Solution
The method involves filtering closed loop correction power values using moving average or infinite impulse response (IIR) filters to provide a more accurate representation of network conditions, allowing mobile devices to request a data rate that better reflects their capabilities, thereby optimizing performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If instantaneous sampling of closed loop correction parameters is used to determine data rate, then the device can quickly adapt to changing conditions, but the device requests a lower data rate than it is capable of achieving
Solution Approach 1:
The patent applies preliminary action by filtering closed loop correction parameters before using them to determine data rate requests. The filtering process (using moving average or IIR filters) prepares the channel quality indicators in advance, smoothing out instantaneous fluctuations that would otherwise cause the device to request lower data rates than its actual capability. This preliminary processing ensures that the data rate determination is based on more stable and accurate channel conditions.
2Stability of the object's composition
If periodic rate determination is used (every 1-5 seconds), then the system maintains stability, but the device operates at suboptimal data rates due to not capturing peak channel conditions
Solution Approach 1:
The patent implements continuity of useful action by continuously filtering closed loop correction parameters rather than relying on periodic sampling. The filtering process operates continuously between periodic updates, maintaining a smoothed view of channel conditions that captures peak conditions more effectively. This continuous processing ensures that data rate requests are based on the most recent and accurate channel quality assessment, improving productivity while maintaining system stability.
3Productivity
If unfiltered closed loop correction values are used, then the device can request higher data rates based on peak conditions, but wild fluctuations in network conditions lead to poor performance
Solution Approach 1:
The patent introduces an intermediary element - the filter (moving average or IIR filter) - that processes closed loop correction parameters before they are used for data rate determination. This intermediary smooths out wild fluctuations in network conditions while preserving the essential information about channel quality. The filter acts as a mediator between the raw, fluctuating channel measurements and the data rate request, producing a more reliable basis for rate selection that reflects true device capability.
Data Source
AI summary
A method and system for obtaining reverse channel resources for a mobile device, the method filtering a closed loop correction power value; calculating a data rate utilizing the filtered closed loop correction power value; and sending a supplemental channel request message, including the calculated data rate, to a base station transceiver system.