UCI Receiver DTX Detection via Noise-Estimated Scaled Threshold
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Solution Overview
Problem
Current wireless communication systems face challenges in accurately detecting Discontinuous Transmission (DTX) signals at Uplink Control Information (UCI) receivers, particularly in small block encoded signals, leading to incorrect ACK/NACK detections and resource wastage due to the absence of cyclic redundancy check (CRC) functionality.
Innovation Solution
A method that processes signals received at a UCI receiver to transform them into likelihood calculations of possible transmitted codewords, determining a maximum magnitude value, and comparing it to a scaled threshold derived from estimated noise and signal power, allowing for accurate differentiation between linear block encoded signals and DTX.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional DTX detection methods are used without noise estimation, then the detection process is simpler and faster, but the detection accuracy deteriorates leading to false ACK/NACK detections
Solution Approach 1:
The patent applies preliminary action by performing noise estimation before the DTX detection process. The base station estimates the noise power in the received signal and uses this estimation to set an appropriate detection threshold. This preliminary noise characterization enables more accurate distinction between DTX (no signal) and actual ACK/NACK signals, reducing false detections while adding manageable complexity through a preprocessing step.
2Reliability
If a fixed threshold is used for DTX detection, then the detection process is simpler, but the reliability deteriorates under varying channel conditions
Solution Approach 1:
The patent implements dynamics by making the detection threshold adaptive rather than fixed. The threshold is dynamically determined based on the estimated noise power in the current channel conditions. When noise power is high, the threshold is adjusted accordingly, and when noise power is low, the threshold is reduced. This dynamic adaptation ensures reliable DTX detection across varying channel conditions while maintaining reasonable computational complexity through efficient noise estimation algorithms.
Data Source
AI summary
Described is a method of processing a signal received at an uplink control information (UCI) receiver in a wireless communication system. The method comprises processing a signal received on an uplink (UL) at said UCI receiver to transform said received signal into a likelihood calculation of possible transmitted codewords (θ1 . . . θi . . . θN) and determining a maximum magnitude θmax value from said likelihood calculation. The method includes comparing said maximum magnitude θmax value to a selected, calculated or predetermined scaled threshold S·τ where τ is a threshold and S is a scaling factor for the threshold τ. The comparison step is such that, where |θmax|2>S·τ, the method comprises determining that the signal received comprises a linear block encoded signal. In the method, prior to said comparison step, the scaling factor S is selected from a plurality of scaling factor options. One scaling factor option (i) is a scaling factor SRE derived from a combination of estimated noise and/or signal power at an output of a resource element (RE) demapper module and an estimated channel response from/before an equalizer module of said UCI receiver. The options also include using a combination of SRE and a suitable scaling factor derived excluding option (i).