Dynamic Interference Cancellation in Wireless Receivers
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Solution Overview
Problem
Conventional wireless communication systems face interference issues due to overlapping wireless networks and directional conflicts, leading to reduced data throughput and performance in wireless devices.
Innovation Solution
Implementing a method using multiple antennas to determine an interference channel matrix and form a noise-cancelling equalization matrix, which is then used to equalize signal vectors and remove interference, thereby improving receiver performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If spatial reuse is implemented to increase the number of devices accessing the wireless network, then network capacity and data throughput are improved, but interference between transmissions increases
Solution Approach 1:
The patent converts harmful interference into useful information by using the interfering signal itself to construct the interference channel matrix. The receiver processes the received signal to extract interference characteristics, then uses these characteristics to build an interference channel matrix that models the interference. This matrix is subsequently used to cancel the interference, transforming the harmful effect into a beneficial cancellation mechanism.
Solution Approach 2:
The patent extracts the interference component from the received signal by determining an interference channel matrix based on the received signal vector. The equalizer then separates the desired signal from the interference by applying the equalization matrix, effectively taking out the interference portion to enable independent processing and cancellation.
2Area of stationary object
If transmission power is maximized to reach far away devices, then coverage range is improved, but interference with other devices increases
Solution Approach 1:
The patent changes the parameter representation of the received signal by transforming it through matrix operations. The interference channel matrix and equalization matrix transform the received signal vector into a form where interference components are separated and can be independently managed, allowing the system to maintain high transmission power while controlling interference effects through parameter transformation.
3Productivity
If multiple devices use the same or similar wireless channels, then spectrum efficiency is improved, but signal distinguishability decreases
Solution Approach 1:
The patent moves the problem from the time-frequency domain to the spatial domain by utilizing multiple antennas and constructing channel matrices. Instead of trying to distinguish signals in the traditional domain, the system uses spatial dimensions (multiple receive antennas) to create separate signal paths, allowing simultaneous channel usage while maintaining signal distinguishability through spatial separation.
Solution Approach 2:
The patent segments the received signal into distinct components by using the equalizer to process the signal vector through the equalization matrix. This segmentation separates the desired signal from interfering signals, allowing each to be processed independently even when they occupy the same frequency resources.
Data Source
AI summary
The present disclosure describes apparatuses and methods for dynamic interference cancellation in wireless receivers. In some aspects, a signal vector transmitted through a wireless environment is received via multiple antennas of a receiver, the signal vector affected by interfering signals in the wireless environment. The receiver determines an interference channel matrix for the signal vector based on the interference received with the signal vector and selects, from the interference channel matrix, columns of the interference channel matrix to form a noise-cancelling equalization matrix. The receiver then equalizes the signal vector with the noise-cancelling equalization matrix to remove a portion of interference from the signal vector to provide noise-cancelled equalized values of the signal vector for decoding. By so doing, the receiver may reduce effects of interference of the wireless environment (e.g., interfering streams or signals) to improve receive performance for signal vectors that are intended for reception by the receiver.


