Configurable Precision Digital Circuitry for Adaptive Communication
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Solution Overview
Problem
Digital circuitry for communication systems faces inefficiencies in power consumption due to fixed numerical precision settings, which do not adapt to varying channel conditions, leading to overprovisioning and unnecessary power usage.
Innovation Solution
Implementing digital circuitry with configurable numerical precision based on real-time channel information, allowing for adaptive precision adjustments to match performance requirements, achieved through a controller that obtains channel data and adjusts precision dynamically, potentially using machine learning models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed numerical precision is set based on worst-case scenario, then communication reliability is improved, but power consumption increases due to overprovisioning
Solution Approach 1:
The patent applies dynamics by making the numerical precision configurable and adaptable based on real-time channel conditions. The system transitions from a static fixed-precision architecture to a dynamic one where precision levels can be adjusted according to actual communication needs, thereby avoiding continuous overprovisioning and reducing power consumption while maintaining reliability when required.
Solution Approach 2:
The patent implements parameter changes by modifying the numerical precision parameter of the digital circuitry based on channel information. The controller adjusts precision levels dynamically, changing this critical parameter to match actual channel conditions rather than maintaining a constant worst-case setting, thus resolving the contradiction between reliability and power consumption.
2Reliability
If highest numerical precision is used, then performance requirement is fulfilled, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the digital circuitry into multiple precision levels or modes. Instead of implementing a single high-precision circuit that handles all cases, the system segments processing into different precision tiers, activating only the necessary level based on channel conditions, thus reducing overall device complexity while maintaining performance when needed.
Solution Approach 2:
The system uses dynamics to switch between different precision levels adaptively. The controller dynamically adjusts the operational precision of the circuitry based on real-time channel assessments, enabling the system to use lower complexity modes when high precision is unnecessary, thereby reducing device complexity while ensuring performance requirements are met when channel conditions demand it.
3Ease of operation
If fixed precision is set for all scenarios, then ease of operation is improved, but adaptability to varying channel conditions deteriorates
Solution Approach 1:
The patent implements self-service by enabling the communication system to automatically adjust its own numerical precision based on channel conditions without requiring manual intervention. The controller autonomously monitors channel quality and adapts precision levels accordingly, maintaining ease of operation while significantly improving adaptability to varying communication environments.
Solution Approach 2:
The system employs feedback mechanisms where channel information is continuously monitored and fed back to the controller, which then adjusts the numerical precision settings. This closed-loop feedback approach maintains operational simplicity for the user while enabling automatic adaptation to changing channel conditions, resolving the contradiction between ease of operation and adaptability.
Data Source
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AI summary
Example embodiments describe a communication system (100) comprising digital circuitry (120-125, 130-135) configured to process digital communication signals (140, 160) with a configurable numerical precision, and comprising a controller (101) comprising at least one processor and at least one memory including computer program code, the at least one memory and computer program code configured to i) obtain channel information indicative for a performance of a communication channel (110) transporting the communication signals, and ii) adapt the numerical precision of the digital circuitry based on the obtained information.