Full-Duplex MIMO Interference Cancellation via Antenna Grouping
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Solution Overview
Problem
Existing wireless full-duplex MIMO systems face high implementation complexity and low resource utilization during data interference cancellation, particularly in estimating and canceling non-orthogonal self-interference signals.
Innovation Solution
The method involves allocating downlink transmission resources to transmission groups with multiple transmit antennas, allowing for separate downlink data transmission and optimizing resource block allocation to reduce complexity and enhance resource utilization, while also setting antenna array distances for improved isolation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-orthogonal time-frequency resources are used for self-interference channel estimation, then channel estimation can be performed, but the implementation complexity becomes highly complex due to solving N linear equations on each subcarrier
Solution Approach 1:
The patent divides the transmit antennas into multiple transmission groups, where each group shares common downlink transmission resources. This segmentation reduces the number of linear equations that need to be solved simultaneously, as the channel estimation is performed per transmission group rather than per individual antenna, thereby reducing implementation complexity while maintaining estimation accuracy.
Solution Approach 2:
The patent combines multiple transmit antennas into transmission groups that share common downlink transmission resources. By merging the channel estimation process at the transmission group level rather than individual antenna level, the system reduces computational complexity while still achieving accurate self-interference channel estimation through the combined group channel characteristics.
2Device complexity
If orthogonal time-frequency resources are used for self-interference channel estimation, then implementation complexity is reduced, but resource utilization becomes poor
Solution Approach 1:
The patent applies different resource allocation strategies to different transmission groups. Transmission groups within the same group share common downlink transmission resources (non-orthogonal), while different transmission groups use orthogonal resources. This local differentiation optimizes resource utilization by allowing efficient reuse of resources within groups while maintaining orthogonality between groups to manage complexity.
3Measurement precision
If dedicated downlink transmission is performed using half-duplex timeslots for self-interference channel estimation, then channel estimation can be achieved, but resource utilization is reduced
Solution Approach 1:
The patent enables continuous downlink transmission by allowing multiple transmission groups to share downlink resources without requiring dedicated half-duplex timeslots for channel estimation. The self-interference channel estimation is performed by the receive end using the ongoing downlink transmission signals, eliminating idle estimation timeslots and maintaining continuous useful transmission action.
Data Source
AI summary
The present invention provides a data interference cancellation method, a transmit end, a receive end, and a system. The method includes allocating, by a transmit end, a corresponding downlink transmission resource to each transmission group, where at least one transmission group includes at least two transmit antennas and separately sending, by the transmit end, downlink data on the downlink transmission resource corresponding to each transmission group.