Wireless Interference Mitigation via Blind Sensing and Subtraction
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Solution Overview
Problem
In wireless communication systems, particularly in 3GPP LTE, base stations face challenges in distinguishing between desired uplink data signals and interfering signals, leading to decoding failures due to high interference power, which existing technologies struggle to address effectively.
Innovation Solution
The method involves receiving a signal, constructing a target signal by estimating the target channel and symbols, determining a subspace blind interference sensing bandwidth, identifying candidate interfering bandwidths and DeModulation Reference Signal sequences, constructing interfering signals, and subtracting them from the received signal to decode the target data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the base station receives uplink data signals from multiple subscriber stations, then the coverage and communication capability are improved, but the interference power increases making signal distinction difficult
Solution Approach 1:
The received signal is segmented into target signal components and interference signal components through blind interference sensing and subtraction. The interference mitigation process divides the signal processing into distinct stages: initial signal reception, interference identification, interference subtraction, and target signal decoding, allowing separate handling of different signal types.
Solution Approach 2:
The patent converts the harmful interference signals into useful information by using blind interference sensing to identify and characterize the interference. The detected interference signals are then reconstructed and subtracted from the received signal, transforming the previously harmful interference into a manageable component that can be eliminated to reveal the target signal.
2Reliability
If existing technologies are used to address interference, then some interference mitigation is achieved, but the effectiveness is insufficient for high interference power scenarios
Solution Approach 1:
The patent performs preliminary interference sensing and characterization before attempting to decode the target signal. By proactively identifying and subtracting interference components from the received signal before target signal processing, the system prepares a cleaner signal for subsequent decoding operations, improving reliability in high interference environments.
Solution Approach 2:
The blind interference sensing mechanism provides feedback about the interference characteristics to the signal processing system. This feedback loop allows the system to continuously adapt to changing interference conditions by detecting, characterizing, and compensating for interference signals in real-time, enhancing mitigation effectiveness.
3Productivity
If the base station attempts to decode uplink data signals in high interference environments, then data transmission continues, but decoding failures occur due to interference
Solution Approach 1:
The patent extracts and removes interference components from the received signal through blind interference sensing and subtraction. By separating the interference signals from the target signal and eliminating them, the system maintains data transmission continuity while improving decoding success rates by providing a cleaner signal for processing.
Data Source
AI summary
A method for mitigating interference in a wireless communication system includes receiving a signal transmitted from a mobile station, subtracting a target signal within a target bandwidth (BW) from the received signal to obtain a resultant signal, wherein the target signal is constructed by estimating a target channel and target symbols from the signal, determining a subspace blind interference sensing (BIS) BW by extending resource blocks (RBs) prior to a starting RB and after an ending RB of the target bandwidth using energy detection in each RB, determining a set of candidate interfering BWs in the subspace BIS BW by determining the number of interferers in each RB in the subspace BIS BW, and determining a set of candidate interfering DMRS sequences based on the set of candidate interfering BWs by performing DMRS detection for each candidate interfering BW.


