Pilot Signal Based Self-Interference Cancellation Tuning
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Solution Overview
Problem
Full-duplex wireless communication systems face challenges with self-interference due to the need for frequent retuning of self-interference cancellation systems, which can be time-consuming and ineffective in adapting to rapidly changing interference conditions.
Innovation Solution
The method involves using pilot signals for preliminary tuning of self-interference cancellers, allowing for faster and more effective self-interference cancellation by detecting tuning triggers, transmitting pilot signals, and adjusting configuration parameters of both analog and digital self-interference cancellation systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional self-interference cancellation systems are used in full-duplex communications, then self-interference can be reduced, but the system requires frequent retuning which is time-consuming and ineffective for rapidly changing interference conditions
Solution Approach 1:
The system performs preliminary tuning actions by detecting tuning triggers that indicate when self-interference cancellation parameters need adjustment. Pilot signals are transmitted before actual data transmission to pre-adjust the cancellation parameters, so that when data transmission begins, the system is already optimized and ready to handle rapidly changing interference conditions without time-consuming retuning.
Solution Approach 2:
The system uses feedback from pilot signal measurements to continuously monitor and adjust self-interference cancellation parameters. By measuring the self-interference characteristics during pilot signal transmission and feeding this information back to the parameter adjustment mechanism, the system can dynamically optimize cancellation performance in real-time without requiring frequent complete retuning cycles.
2Adaptability or versatility
If frequent retuning of self-interference cancellation systems is performed, then adaptation to changing interference conditions improves, but system productivity decreases due to time-consuming tuning processes
Solution Approach 1:
The system performs preliminary tuning actions by detecting tuning triggers that indicate when self-interference cancellation parameters need adjustment. Pilot signals are transmitted before actual data transmission to pre-adjust the cancellation parameters, so that when data transmission begins, the system is already optimized and ready to handle rapidly changing interference conditions without time-consuming retuning.
Solution Approach 2:
The system implements periodic tuning actions at strategically determined intervals based on tuning trigger detection rather than continuous retuning. This periodic approach with pilot signal-based parameter adjustment maintains adaptability to changing interference conditions while minimizing the frequency of tuning operations, thereby preserving spectral efficiency and overall system productivity.
3Measurement precision
If pilot signals are used for preliminary tuning, then tuning performance is enhanced and self-interference cancellation is more effective, but additional signal transmission is required
Solution Approach 1:
The system uses partial action by transmitting pilot signals only when tuning triggers are detected, rather than continuously transmitting pilot signals for every adjustment. This selective approach provides sufficient tuning performance improvement while avoiding excessive consumption of signal transmission resources, achieving an optimal balance between measurement precision and resource usage.
Data Source
AI summary
A method for pilot signal based self-interference cancellation tuning includes detecting a tuning trigger and in response to the tuning trigger, generating a pilot transmit signal according to the trigger data; and transmitting, at the transmitter, the pilot transmit signal; receiving, at the receiver, a pilot receive signal; cancelling, at the self-interference canceller, a portion of self-interference in the receive pilot signal, resulting in a composite pilot signal; analyzing the composite pilot signal; and tuning a configuration parameter of the self-interference canceller, based on analysis of the composite pilot signal, resulting in reduced self-interference in the composite pilot signal.