PUCCH Format 0 Signal Processing Time Domain Noise Estimation
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Solution Overview
Problem
Existing PUCCH FMT0 signal processing in wireless communications becomes complex and resource-intensive when multiple UEs are multiplexed, leading to increased processing time and noise sensitivity due to frequency domain processing.
Innovation Solution
Processing PUCCH FMT0 signals in the time domain, allowing for collective operations across multiple UEs and using Infinite Impulse Response (IIR) estimation to stabilize noise power calculations, thereby reducing complexity and enhancing signal-to-noise ratio robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If frequency domain processing is used for PUCCH FMT0 signals, then signal processing can be performed, but processing complexity and resource consumption increase linearly with the number of multiplexed UEs
Solution Approach 1:
The patent changes the fundamental parameter of signal processing from frequency domain to time domain. This parameter change transforms the processing approach, allowing collective operations for multiple UEs in the time domain rather than individual frequency domain processing, thereby reducing complexity while maintaining processing capability
Solution Approach 2:
The patent merges the processing operations for multiple UEs into a single collective operation in the time domain. Instead of processing each UE's signal separately in the frequency domain, the method combines and processes signals from multiple UEs together in the time domain, reducing the number of separate processing operations required
2Productivity
If frequency domain processing is used for PUCCH FMT0 signals, then signal processing can be performed, but processing time and resource consumption increase with the number of multiplexed UEs
Solution Approach 1:
The patent changes the fundamental parameter of signal processing from frequency domain to time domain. This parameter change transforms the processing approach, allowing collective operations for multiple UEs in the time domain rather than individual frequency domain processing, thereby reducing complexity while maintaining processing capability
Solution Approach 2:
The patent enables continuous processing of signals from multiple UEs in the time domain without requiring separate discrete processing steps for each UE. The time domain approach allows for more efficient, continuous processing that reduces overall processing time and resource consumption
3Measurement precision
If instant noise power value is used for SNR calculation, then SNR can be determined, but noise fluctuations cause inaccurate SNR values and false alarms
Solution Approach 1:
The patent introduces feedback mechanisms through IIR estimation that uses previous noise power values to inform current noise power calculations. This feedback loop smooths out instantaneous noise fluctuations and provides more stable, accurate noise power estimates that reduce false alarms and improve detection reliability
Solution Approach 2:
The patent applies prior cushioning by using previous noise power values to compensate for instantaneous noise fluctuations. The IIR estimation technique anticipates and cushions against the harmful effects of random noise variations, providing more reliable SNR measurements that are less susceptible to false alarms
Data Source
AI summary
A network device includes receiver and a processor. The receiver receives a signal from a group of terminal devices, over a physical uplink control channel (PUCCH) Format 0 (FMT0). The processor is coupled to the receiver, performs processing on the received signal to detect payloads and obtain SNRs corresponding to the terminal devices in the group, and utilizes the detected payloads and the SNRs for handling further communications with the terminal devices. In the processing, the processor obtains a time domain sequence from the received signal by performing a transform from a frequency domain into a time domain, determines a plurality of correlation power values from the time domain sequence, extracts, from the plurality of correlation power values, a maximum correlation power value corresponding to each terminal device, and determines a current noise power value for SNR based on an instant noise power value, and a previous noise power value.


