Multi-Beam SI Acquisition Using LLR Combining for Idle UE Power Saving
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Solution Overview
Problem
The power consumption of user equipment (UE) in idle mode is high due to frequent SI acquisition attempts, as it wakes up to receive system information (SI) and may not immediately return to deep sleep, especially when multiple instances of SI are transmitted on different beams.
Innovation Solution
The UE selects a set of synchronization signal block (SSB) beams based on signal-to-noise ratio (SNR) and reference signal received power (RSRP) measurements, performing soft decoding on each beam and combining log likelihood ratio (LLR) information to enhance SI acquisition efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the UE wakes up to receive system information on multiple beams, then the SI acquisition reliability is improved, but the power consumption increases
Solution Approach 1:
The UE performs measurements on SSB beams in advance to identify the strongest beam(s) before attempting SI acquisition. This preliminary action allows the UE to prioritize decoding attempts on beams with highest signal quality, reducing the number of unsuccessful decoding attempts and associated power consumption while maintaining reliable SI acquisition
Solution Approach 2:
The patent divides the SI acquisition process into separate stages: first measuring and identifying candidate beams, then attempting decoding on each candidate beam in order of signal strength. This segmentation allows the UE to stop after successful acquisition on the first valid beam, avoiding unnecessary processing on weaker beams and reducing overall power consumption
2Productivity
If the UE attempts to decode SI on multiple beams, then the SI acquisition speed is improved, but the processing complexity increases
Solution Approach 1:
The patent changes the parameter of beam selection from considering all beams to selecting only the strongest beam(s) based on measurement results. This parameter change reduces the number of decoding attempts required, thereby reducing processing complexity while maintaining or improving acquisition speed through focused processing on high-probability beams
Data Source
AI summary
The present application relates to acquiring system information. In an example, a network can transmit instances of a same system information on multiple SSB beams. A UE can select a set of the SSB beams for system information acquisition. Soft decoding information, such as LLR, from the decoding of the instances received on the selected SSB beams is combined to decode and acquire the system information.


