Self-Interference Canceller Tuning for Full-Duplex Drift Adaptation
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Solution Overview
Problem
Full-duplex wireless communication systems face challenges due to self-interference, as they are not easily adaptable to changing interference characteristics and component drifts, limiting their effectiveness in maintaining high self-interference cancellation performance over time.
Innovation Solution
A system and method for dynamic tuning of self-interference cancellers, incorporating a tuning circuit that controls parameters of both analog and digital self-interference cancellers, allowing for simultaneous and parallel cancellation of interference, using digital and analog circuitry with programmable components to adapt to changing conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If full-duplex wireless communication systems are implemented to enable simultaneous transmission and reception, then spectral efficiency is improved, but self-interference occurs that degrades system performance
Solution Approach 1:
The self-interference cancellation process is segmented into multiple stages: analog cancellation in the RF domain, digital cancellation in the baseband domain, and iterative refinement. Each stage handles specific portions of the interference, dividing the complex cancellation task into manageable segments that can be processed independently and sequentially
Solution Approach 2:
Analog self-interference cancellers are introduced as intermediary components that generate cancellation signals in the RF domain before the signal enters the receiver chain. These cancellers act as mediators by creating artificial signals that counteract the self-interference, allowing the receiver to process the desired signal more effectively
2Device complexity
If static self-interference cancellation is used, then system complexity is reduced, but the system cannot adapt to changing interference characteristics and component drifts
Solution Approach 1:
The system transitions from static cancellation parameters to dynamic, time-varying cancellation parameters. The analog self-interference cancellers incorporate tunable components such as variable capacitors, inductors, or digitally controlled attenuators that can adjust their characteristics in real-time to track changing interference conditions and component drifts
Solution Approach 2:
A feedback mechanism is implemented where the receiver monitors the residual self-interference after cancellation and feeds this information back to the analog self-interference cancellers. This feedback loop enables the system to automatically adjust cancellation parameters to maintain optimal performance despite changing conditions
3Reliability
If analog self-interference cancellation is used, then cancellation effectiveness is improved, but component drifts and changing conditions degrade performance over time
Solution Approach 1:
The system employs parameter changes in the analog self-interference cancellers, specifically in the transfer functions of the filter banks and modulation/demodulation parameters. By dynamically adjusting these parameters based on current operating conditions, the system maintains cancellation effectiveness despite component drifts and environmental changes
Data Source
AI summary
A method for tuning an analog self-interference canceller includes detecting a tuning trigger, calculating a set of tuning parameters (the tuning parameters including complex weights for a set of taps of the analog self-interference canceller) in response to the tuning trigger, and applying the set of tuning parameters based on component calibration data.