Interference-Cognitive Transmitter Adaptive Precoding
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Solution Overview
Problem
Conventional MIMO systems face significant reliability and throughput losses due to interference, which traditional methods like carrier frequency scanning and hopping do not effectively address, especially when interference is stronger than background noise.
Innovation Solution
The introduction of interference cognitive devices that can detect and mitigate interference by estimating interference covariance matrices, allowing for adaptive precoding to optimize transmission directions and suppress interference, even in the absence of receiver feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional MIMO transmission is used, then data rate and throughput are achieved, but reliability deteriorates due to strong interference
Solution Approach 1:
The patent implements interference covariance feedback from receiver to transmitter, enabling the transmitter to adapt its precoding strategy based on actual interference conditions. The receiver estimates interference covariance matrices and feeds them back to the transmitter, which then adjusts its transmit precoding to mitigate interference while maintaining data rate.
Solution Approach 2:
The patent dynamically changes transmission parameters (precoding matrices, power allocation) based on interference covariance information. The transmitter adjusts its transmit parameters adaptively according to the feedback, transforming the static MIMO transmission into a dynamic system that responds to interference conditions.
2Object-affected harmful factors
If traditional interference mitigation methods (carrier frequency scanning and hopping) are used, then some interference reduction is achieved, but effectiveness is insufficient when interference is stronger than background noise
Solution Approach 1:
The patent replaces traditional open-loop interference mitigation with closed-loop feedback-based interference covariance estimation. The receiver continuously estimates interference covariance and feeds it back to the transmitter, enabling adaptive precoding that directly addresses the actual interference conditions rather than using fixed frequency hopping patterns.
Solution Approach 2:
The patent dynamically adjusts transmit precoding parameters based on interference covariance feedback, replacing static frequency hopping with adaptive parameter changes that respond to real-time interference conditions, significantly improving effectiveness against strong interference.
3Productivity
If transmit precoding is used to steer energy towards receiver, then throughput is improved, but interference to other users increases
Solution Approach 1:
The patent implements interference covariance feedback that enables the transmitter to understand the interference impact of its precoding on other users. By feeding back interference covariance information, the receiver helps the transmitter adjust its precoding to reduce interference to other users while maintaining its own throughput through adaptive beamforming.
Solution Approach 2:
The patent applies different precoding strategies to different spatial directions based on interference covariance information. The transmitter steers energy towards the intended receiver while applying nulling or attenuation in directions where other users are located, creating local quality variations in the transmitted signal spatial distribution.
Data Source
AI summary
Interference cognitive devices are described. An interference cognitive device can be collocated with a transmitter of an interference cognitive transmitter (ICT), as receive chains or portions thereof at the ICT. An interference cognitive device can also be remote with respect to the transmitter, which operates in an interference cognitive network and receives data directly or indirectly from the interference cognitive device. The ICT uses the data to mitigate interference while continuing to operate in accordance with a performance metric.


