Full-Duplex Yield Interval Scheduling for Self-Interference Channel Estimation
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Solution Overview
Problem
In full-duplex communication systems, self-interference cancellation (SIC) is hindered by the challenge of accurately estimating the self-interference channel, especially in mobile environments where channel variance occurs, leading to deteriorated SIC performance due to interference from desired signals during channel estimation.
Innovation Solution
A method and apparatus for enhancing self-interference channel estimation by scheduling yield intervals for nodes in a full-duplex communication system, where nodes transmit signals at reduced power to prevent interference with channel estimation, allowing for non-overlapping intervals and optimized yield interval lengths to maximize frequency efficiency and improve SIC performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If nodes transmit signals at full power during full-duplex communication, then frequency efficiency is improved, but self-interference channel estimation accuracy deteriorates due to interference from desired signals
Solution Approach 1:
The transmission time is segmented into different intervals: yield intervals where nodes transmit at reduced power for channel estimation, and communication intervals where nodes transmit at full power for data transmission. This segmentation allows the system to achieve both accurate channel estimation and high frequency efficiency by utilizing different power levels at different times.
Solution Approach 2:
The system implements periodic yield intervals within the transmission frame where nodes periodically reduce their transmission power to allow accurate self-interference channel estimation. This periodic action enables the receiver to estimate channel characteristics without interference from desired signals, while maintaining overall communication efficiency through the periodic nature of these intervals.
2Reliability
If yield intervals are made longer to improve channel estimation accuracy, then self-interference cancellation performance is improved, but frequency efficiency deteriorates due to reduced transmission time
Solution Approach 1:
The system dynamically adjusts the length and positioning of yield intervals based on channel conditions and communication requirements. By changing parameters such as yield interval duration and timing, the system optimizes the balance between achieving sufficient channel estimation accuracy for reliable self-interference cancellation and maintaining adequate frequency efficiency for data transmission.
Solution Approach 2:
The yield interval configuration is made dynamic rather than fixed. The system can adaptively adjust yield interval lengths and positions based on real-time channel conditions, allowing for optimized performance in varying environments. This dynamic approach enables the system to achieve reliable self-interference cancellation when needed while maximizing frequency efficiency during data transmission periods.
3Measurement precision
If nodes transmit at reduced power during yield intervals, then self-interference channel estimation is improved, but signal strength during communication intervals may be insufficient
Solution Approach 1:
The transmission frame is segmented into yield intervals and communication intervals with distinct power levels. During yield intervals, nodes transmit at reduced power to enable accurate channel estimation without interfering with desired signals. During communication intervals, nodes transmit at full power to ensure sufficient signal strength for data transmission. This segmentation allows the system to address different requirements at different times.
Solution Approach 2:
Channel estimation is performed preliminarily during yield intervals before actual data transmission begins. By conducting channel estimation in advance during these dedicated intervals, the system obtains accurate channel state information without the interference present during full-power transmission. This preliminary action ensures that channel characteristics are accurately captured before communication starts.
Data Source
AI summary
The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate than a 4G communication system such as LTE. The disclosure relates to a method and an apparatus for enhancement of self-interference channel estimation performance to secure self-interference removal performance in full-duplex (FD) communication and, more specifically, to a method and an apparatus for scheduling a transmission resource for enhanced self-interference channel estimation in the FD communication.