MIMO Full-Duplex Transceiver Interference Cancellation
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Solution Overview
Problem
In same-channel full-duplex communications, strong interference components from local transmitting antennas significantly increase bit-error rates and degrade the quality and spectral efficiency of wireless links, as existing techniques fail to effectively isolate the received signal from strong interference.
Innovation Solution
The implementation of MIMO (Multiple-Input Multiple-Output) processing techniques, which utilize baseband samples from multiple antennas to perform channel estimation and generate interference-cancellation signals, allowing for the subtraction of interference components from the received radio signal, thereby isolating the signal component and enhancing spectral efficiency and link reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If same-channel full-duplex communication is implemented to increase spectral efficiency, then spectral efficiency is improved, but strong interference from local transmitting antennas increases bit-error rates and degrades link quality
Solution Approach 1:
The patent converts the harmful self-interference signal into a useful component for interference cancellation. By capturing baseband samples of the transmitted signal and processing them through channel estimation, the system generates an interference-cancellation signal that actively removes the harmful interference from the received signal, thereby enabling reliable full-duplex operation
Solution Approach 2:
The system performs preliminary interference cancellation by generating the interference-cancellation signal before the received signal is fully processed. The baseband samples are captured and processed in advance to create the cancellation signal, which is then subtracted from the received signal to prevent interference from degrading the link quality
2Reliability
If interference cancellation techniques are applied to isolate received signals from strong interference, then link quality is improved, but device complexity increases due to additional signal processing requirements
Solution Approach 1:
The system uses its own transmitted signal to generate the interference cancellation signal. By capturing baseband samples of its own transmission and processing them through channel estimation, the transceiver creates a self-generated interference model that accurately represents the self-interference without requiring external reference signals or additional hardware
Solution Approach 2:
The baseband samples serve multiple functions: they represent the transmitted signal for modulation purposes and simultaneously serve as the foundation for generating the interference-cancellation signal. This multi-functional use of the same signal data reduces the need for separate processing paths and minimizes additional hardware requirements
Data Source
AI summary
Same-channel full-duplex communications can be adapted for multiple-input multiple-output (MIMO) processing in order to derive increased signal performance through the exploitation of spatial diversity. Strong interference components from transmissions over multiple local antennas can be removed from a received radio signal to allow array and diversity gain benefits of MIMO to be enjoyed in same-channel full-duplex communications. More specifically, baseband samples of two or more MIMO transmission signals may be used to perform channel estimation on a received radio signal by correlating the baseband signals with the radio signal to estimate interference channels associated with the MIMO transmission signals. The estimated interference channels are used to subtract corresponding interference components from the received radio signals.