Power Line Communication Channel Status Adaptation
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Solution Overview
Problem
Power line communication systems face challenges in adapting to varying channel capacities due to diverse load and noise conditions, leading to suboptimal data transmission rates as existing methods struggle to accurately divide alternating current cycles into time windows that reflect actual channel capacity variations.
Innovation Solution
A method where a first node determines the channel status within an alternating current cycle, divides it into time windows based on channel status variations, and adjusts modulation coding parameters accordingly, using timestamps indicating transition states to optimize time window division and improve data transmission rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the alternating current cycle is equally divided into a plurality of time windows, then the modulation coding parameters can be determined for each time window, but the actual channel capacity variation cannot be adapted due to diverse load and noise conditions on power lines
Solution Approach 1:
The patent applies dynamics by making the time window division adaptive rather than fixed. The alternating current cycle is dynamically divided into time windows based on detected transition states in channel status, allowing the division to adjust to varying load and noise conditions. This resolves the contradiction by making the system flexible (improving adaptability) while maintaining precise division at actual transition points (improving measurement precision).
Solution Approach 2:
The patent changes the parameter of time window boundaries from fixed equal divisions to variable divisions based on channel status transition states. By detecting transition states in channel status and using them to determine time window boundaries, the system adapts to channel capacity variations while maintaining precise alignment with actual capacity changes, resolving the contradiction between adaptability and precision.
2Productivity
If fixed modulation coding parameters are used for data transmission, then the system is simple to operate, but the data transmission rate cannot reach the actual channel capacity due to time-varying load and noise
Solution Approach 1:
The patent applies preliminary action by detecting transition states in channel status before determining time windows and modulation coding parameters. The system proactively identifies when channel capacity changes occur and prepares appropriate parameter adjustments in advance, enabling the data transmission rate to reach actual channel capacity while managing complexity through structured preliminary detection and classification of transition states.
Solution Approach 2:
The patent implements feedback by continuously monitoring channel status to detect transition states, then using this information to adjust modulation coding parameters for subsequent time windows. This closed-loop feedback mechanism enables the system to adapt to channel capacity variations and maximize data transmission rate, with the complexity managed through automated detection and systematic parameter adjustment based on feedback information.
Data Source
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AI summary
This application provides a power line communication method and an apparatus. In the method, a first node determines a channel status of a channel between a second node and the first node in an alternating current cycle, where the channel status is used to reflect a status of a channel capacity. Then, the first node may divide the alternating current cycle into time windows based on the channel status, and determine modulation coding parameters used for data transmission between the second node and the first node in the time window obtained through division. Further, the first node may send information about the time window obtained through division and the modulation coding parameters used in the time window obtained through division to the second node. According to the foregoing method, division into time windows based on a variation of the channel status can better reflect an actual variation of the channel capacity, and the determined modulation coding parameters corresponding to the time window obtained through division is more accurate, so that a transmission rate during data transmission can be increased and maximally approach an actual channel capacity.