Interference-Aware Link Adaptation With Coherence Prediction
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Solution Overview
Problem
Existing communication systems fail to effectively manage unpredictable interference patterns and resource availability due to assumptions of constant interference states and limited observations, leading to unreliable link adaptation strategies.
Innovation Solution
A method for dynamic link adaptation that includes predicting interference and determining communication parameters based on coherence characteristics, using probabilistic or deterministic methods to optimize modulation and coding schemes for varying interference conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If interference prediction models assume constant interference states, then the complexity of the system is reduced, but the reliability of link adaptation deteriorates due to unpredictable interference patterns
Solution Approach 1:
The patent applies dynamics by transitioning from static interference state assumptions to dynamic interference prediction. The system continuously updates interference predictions based on observed interference patterns and coherence characteristics, allowing link adaptation to respond to changing interference conditions rather than assuming constant states. This resolves the contradiction by introducing temporal variability that improves reliability while managing complexity through structured prediction models.
Solution Approach 2:
The patent implements preliminary action by performing interference prediction before link adaptation decisions are made. The system proactively estimates future interference states and coherence characteristics, allowing the link adaptation to be optimized in advance based on predicted conditions rather than reacting to current constant state assumptions. This提前 prediction improves reliability by accounting for upcoming interference patterns.
2Loss of time
If the number of sensing observations is limited, then the loss of time and energy is reduced, but the measurement precision of interference prediction deteriorates
Solution Approach 1:
The patent applies parameter changes by utilizing coherence characteristics as an additional parameter that enhances prediction precision without requiring proportionally more sensing observations. Instead of simply increasing the number of observations, the system changes the approach by incorporating coherence measurements that provide more information per observation, thereby improving measurement precision while limiting the time and energy spent on sensing.
Solution Approach 2:
The patent introduces coherence characteristics as an intermediary that bridges the gap between limited observations and precise prediction. The coherence characteristic acts as a mediator that extracts additional predictive information from the available sensing data, allowing the system to achieve higher measurement precision without proportionally increasing the number of observations or the associated time and energy costs.
3Device complexity
If interference coherence characteristic is not considered, then the device complexity is reduced, but the adaptability of communication parameters deteriorates in dynamic environments
Solution Approach 1:
The patent applies dynamics by incorporating coherence characteristics that capture the temporal evolution of interference patterns. This allows communication parameters to adapt dynamically to changing interference conditions rather than treating each moment as independent. The coherence characteristic provides a dynamic descriptor that enables the system to adjust to interference patterns over time while managing processing complexity through efficient coherence estimation.
4Ease of operation
If deterministic interference prediction is used, then the ease of operation is improved, but the reliability deteriorates in the presence of unpredictable interference patterns
Solution Approach 1:
The patent applies parameter changes by transitioning from deterministic to probabilistic interference prediction. Instead of predicting a single definite interference state, the system predicts probability distributions of interference states, incorporating uncertainty into the prediction model. This maintains ease of operation through structured probabilistic methods while significantly improving reliability by accounting for unpredictable interference patterns through their inherent uncertainty representation.
Data Source
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AI summary
The invention relates to a method for implementing a dynamic link for transmitting data over a communication channel, the method comprising: - obtaining a prediction of an interference on the communication channel, where the prediction is associated with a communication resource of the communication channel, the communication resource being a time resource, a frequency resource or a space resource; - obtaining a coherence characteristic of the interference on the communication channel; and - determining a communication parameter for use in the dynamic link for the communication resource, the determination being based on the prediction of the interference and/or on the coherence characteristic.