LTE Receiver Interference Attenuation for Coverage Holes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
LTE-system coverage holes are created due to external interference, which hinders effective communication, particularly in public-safety scenarios where immediate communication is critical.
Innovation Solution
A method and system that receive a signal in a first wireless band, determine if the signal quality is below a threshold due to external interference, and attenuate the signal to improve quality, using metrics like RSRQ and SINR, and demodulate the signal to obtain the signal of interest, while calculating external interference levels and applying iterative attenuation based on interference-prediction data and transmitter-properties.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If external interference is present in the wireless band, then communication coverage is reduced (coverage holes occur), but applying signal attenuation to improve signal quality may also reduce the overall signal strength
Solution Approach 1:
The system performs preliminary actions by measuring signal quality metrics (RSRQ, SINR) and calculating external interference levels before communication occurs. This allows the system to proactively identify coverage holes and predict interference patterns, enabling preventive measures to be taken before communication failures occur, thus improving reliability while managing interference effects.
Solution Approach 2:
The system implements continuous feedback loops by monitoring signal quality metrics and external interference levels in real-time. Based on this feedback, the system dynamically adjusts signal processing parameters and attenuation levels, ensuring optimal communication reliability while adapting to changing interference conditions without requiring manual intervention.
2Reliability
If signal attenuation is applied to reduce external interference, then signal quality improves, but the complexity of the signal processing system increases
Solution Approach 1:
The system manages complexity by changing and optimizing key signal processing parameters such as attenuation levels, measurement thresholds, and interference calculation parameters. By dynamically adjusting these parameters based on measured conditions rather than using fixed complex algorithms, the system achieves improved signal quality while keeping the processing complexity manageable through parameter optimization rather than structural complexity.
3Reliability
If continuous monitoring of signal quality metrics is performed to identify coverage holes, then communication reliability improves, but energy consumption increases
Solution Approach 1:
The system applies partial monitoring action by selectively measuring signal quality metrics and calculating interference levels only when and where coverage holes are detected or suspected. Rather than continuously monitoring all parameters at all times, the system performs measurements strategically based on detected conditions, reducing overall energy consumption while maintaining adequate coverage monitoring for reliable communication identification.
Data Source
AI summary
Disclosed herein are methods and systems for identifying and reducing LTE-system coverage holes due to external interference. One embodiment takes the form of a process that includes receiving a signal in a first wireless band. The received signal comprises a signal of interest. The process also includes determining that a received signal quality of the signal of interest is less than a signal-quality threshold. The process also includes determining that the received signal quality of the signal of interest is less than the signal-quality threshold due to interference external to the first wireless band, and responsively attenuating the received signal. The process also includes demodulating the attenuated received signal to obtain the signal of interest.