Radio Node Signal Detection With Drift Compensation
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Solution Overview
Problem
In 5G wireless systems, the sparse transmission of synchronization signals poses a challenge for maintaining high reliability and low latency, particularly in scenarios where sensors need to detect alarm events with irregular long time intervals, as it conflicts with the need for accurate synchronization between transmitter and receiver.
Innovation Solution
A method in a radio network node that measures time and frequency drift in wireless devices, adjusts detection settings, and configures synchronization signal transmission accordingly to optimize detector performance and adapt to changing conditions, ensuring high reliability and low latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If synchronization signals are transmitted frequently to maintain accurate synchronization, then synchronization accuracy is improved, but system power consumption and interference increase
Solution Approach 1:
The patent implements dynamic adaptation of detection parameters based on the actual time drift and frequency drift measured from sparse synchronization signals. The radio network node continuously adjusts detection window timing and frequency offsets according to drift compensation values, enabling accurate signal detection without requiring frequent synchronization signal transmissions. This dynamic parameter adjustment resolves the contradiction by maintaining synchronization accuracy through adaptive detection rather than through frequent signal transmission.
2Measurement precision
If synchronization signals are transmitted frequently to maintain accurate synchronization, then synchronization accuracy is improved, but system interference increases
Solution Approach 1:
The patent applies partial action by transmitting synchronization signals only when necessary (sparse transmission) rather than continuously. The system compensates for the reduced signal frequency by enhancing the detection process with drift measurement and compensation mechanisms. This allows the system to achieve adequate synchronization accuracy with minimal signal transmission, thereby reducing interference while maintaining functional performance.
3Use of energy by stationary object
If the synchronization signal rate is reduced to save power and reduce interference, then power consumption and interference are reduced, but synchronization accuracy deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the radio network node measures time drift and frequency drift from received signals, compares these against expected values, and generates drift compensation values. These compensation values are used to adjust detection parameters for subsequent signal detection. This closed-loop feedback system enables accurate detection of data signals even when synchronization signals are transmitted sparsely, resolving the contradiction between reduced power consumption and maintained synchronization accuracy.
Solution Approach 2:
The patent changes detection parameters dynamically based on measured drift characteristics. Specifically, the detection window timing and frequency offsets are adjusted according to drift compensation values derived from sparse synchronization signals. This parameter adaptation allows the system to maintain high detection accuracy despite reduced synchronization signal transmission rates, thereby achieving both low power consumption and high synchronization accuracy simultaneously.
4Use of energy by stationary object
If the synchronization signal rate is reduced to save power and reduce interference, then power consumption and interference are reduced, but detection reliability deteriorates
Solution Approach 1:
The patent performs preliminary measurement of time drift and frequency drift using sparse synchronization signals before actual data signal detection. The radio network node calculates drift compensation values in advance, which are then applied to optimize detection parameters when data signals arrive. This preliminary action ensures that detection is always performed with up-to-date drift compensation, maintaining high reliability even with sparse synchronization signal transmission and low power consumption.
Data Source
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AI summary
The present disclosure relates to methods and devices for signal detection. More particularly the disclosure pertains to methods and arrangements for signal detection systems with sparse synchronization signal rate. According to some aspects, the disclosure relates to a method, performed in a radio network node, of detecting at least one signal transmitted from a wireless device, wherein the radio network node transmits a synchronization signal to the wireless device with a synchronization signal rate. The method comprises determining S2 a period of time that has passed since the most recent transmission of the synchronization signal to the wireless device and configuring S3, in the radio network node, at least one radio setting related to detecting the at least one signal, based on the determined period of time. The method further comprises monitoring S4 a radio spectrum for the at least one signal using the at least one radio setting.