PUCCH Format 1 Time Domain Processing Reduces Complexity
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Solution Overview
Problem
The processing of PUCCH FMT1 signals in wireless communications becomes highly complex and resource-intensive as the number of multiplexed UEs increases, leading to reduced network capacity and susceptibility to noise fluctuations.
Innovation Solution
Processing PUCCH FMT1 signals in the time domain allows for collective operations across multiple UEs, reducing complexity and resource consumption, and employing noise power estimation based on previous values to enhance signal-to-noise ratio robustness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency domain processing is used for PUCCH FMT1 signals, then signal processing can be performed, but computational complexity increases linearly with the number of multiplexed UEs
Solution Approach 1:
The patent inverts the conventional frequency domain processing approach by performing PUCCH FMT1 signal processing in the time domain. Instead of transforming received signals to frequency domain for correlation-based processing, the patent directly processes signals in time domain using time-domain correlation between the received signal and reference signal, thereby avoiding the computational complexity that scales with number of UEs in frequency domain approach
2Measurement precision
If frequency domain processing is used for PUCCH FMT1 signals, then signal processing can be performed, but processing time and resource consumption increase
Solution Approach 1:
The patent inverts the conventional frequency domain processing approach by performing PUCCH FMT1 signal processing in the time domain. Instead of transforming received signals to frequency domain for correlation-based processing, the patent directly processes signals in time domain using time-domain correlation between the received signal and reference signal, thereby avoiding the computational complexity that scales with number of UEs in frequency domain approach
3Measurement precision
If conventional noise power estimation is used, then noise measurement can be performed, but the SNR is affected by temporary or random noise fluctuations
Solution Approach 1:
The patent applies preliminary action by performing time-domain processing and noise estimation before final SNR calculation and detection decisions. The method estimates noise power from time-domain signal characteristics and uses this estimation to compensate for temporary noise fluctuations, thereby improving the reliability of SNR measurements and reducing false detections
Solution Approach 2:
The patent implements feedback by using the estimated noise power to adjust and refine the SNR calculation. The noise power estimation feedback loop allows the system to adapt to changing noise conditions and maintain robust SNR measurements even in the presence of temporary or random noise fluctuations
Data Source
AI summary
A network device includes a processor, and receiver circuitry receiving a signal from a plurality of terminal devices, over a physical uplink control channel (PUCCH) format 1 (FMT1). The processor is coupled to the receiver circuitry, and performs processing on the received signal to obtain decoded data and signal-to-noise ratios (SNRs) corresponding to the plurality of terminal devices, and utilizes the decoded data and the SNRs for handling further communications with the plurality of terminal devices. In the processing, the processor obtains, from the received signal, a time domain sequence by performing a transform from a frequency domain into a time domain. The processor extracts, from the time domain sequence, noise blocks and one or more data blocks corresponding to each terminal device among the plurality of terminal devices. The processor further estimates a current noise power value based on the extracted noise blocks and a previous noise power value.