Digital Video Receiver Power Management via Channel Adaptation
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Solution Overview
Problem
Existing digital video devices, especially handheld ones, face a trade-off between low power consumption and maintaining high-quality service in mobile environments, as current power-saving schemes like time-slicing and frame-slicing reduce service data rates.
Innovation Solution
An active power reduction scheme that dynamically adjusts the operational complexity of receiver modules based on real-time channel conditions, using an error-detector like an RS decoder to switch between normal and simplified modes of operation, reducing power consumption without compromising service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sophisticated signal processing algorithms are implemented to provide high quality services in mobile environments, then service quality is improved, but power consumption increases considerably
Solution Approach 1:
The receiver dynamically adjusts its operational mode based on real-time channel conditions. When channel quality is good, the receiver uses simplified signal processing algorithms with lower power consumption. When channel quality deteriorates, the receiver automatically switches to more sophisticated algorithms to maintain service quality. This dynamic adaptation resolves the contradiction by making power consumption variable rather than fixed.
Solution Approach 2:
The system changes processing parameters (algorithm complexity, processing intensity) based on measured channel conditions. The error detector continuously monitors channel quality and triggers parameter changes in the signal processing chain, allowing the receiver to optimize the balance between service quality and power consumption according to actual transmission conditions.
2Use of energy by moving object
If time-slicing technique is used to reduce power consumption, then power saving is achieved, but service data rate is reduced
Solution Approach 1:
The system incorporates an error detector that provides feedback on channel quality to the signal processing modules. This feedback mechanism allows the receiver to continuously adapt its processing strategy, switching between different algorithm complexities based on actual channel conditions rather than using fixed time-slicing patterns, thereby maintaining data rates while managing power consumption.
Solution Approach 2:
Rather than using static time-slicing with predetermined power-save periods, the system dynamically adjusts processing intensity based on real-time channel assessments. When channels are favorable, the receiver processes data at higher rates; when channels deteriorate, it reduces processing intensity. This dynamic approach eliminates the need for restrictive time-slicing while adapting power consumption to actual service requirements.
3Use of energy by moving object
If frame-slicing technique is used to reduce power consumption, then power saving is achieved, but service data rate is reduced
Solution Approach 1:
The system changes processing parameters dynamically based on channel conditions rather than using fixed frame-slicing patterns. The error detector monitors channel quality and triggers parameter adjustments in the signal processing chain, allowing the receiver to optimize the balance between power consumption and data rate according to actual transmission conditions, thereby avoiding the data rate reduction inherent in frame-slicing approaches.
Data Source
AI summary
An apparatus is operable to receive a digital video signal transmitted over a channel and comprises an operational module configured to operate in a first mode of operation and in a second mode. The apparatus is configured to switch operation of the operational module from the first mode to the second mode in dependence of an estimate of an environment (condition) of the channel.