NTN Random Access Configuration for Mixed GNSS UE Classes
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Solution Overview
Problem
In Non-Terrestrial Networks (NTNs), UEs with different Global Navigation Satellite System (GNSS) capabilities face challenges in random access due to varying levels of propagation delay and Doppler shift, necessitating tailored pre-compensation methods that existing technologies have not adequately addressed.
Innovation Solution
The system defines different UE classes and random access configurations based on pre-compensation capabilities and GNSS availability to optimize resource allocation and ensure successful random access for UEs with varying levels of pre-compensation and GNSS capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the network extends the preamble receiving window to accommodate UEs without GNSS capabilities, then random access becomes possible for non-GNSS UEs, but resource requirements and system complexity increase
Solution Approach 1:
The patent segments the random access procedure by defining different UE classes (first class with GNSS capability, second class without GNSS capability) and providing separate, optimized configurations for each class. This allows the network to maintain smaller, efficient preamble windows for GNSS-equipped UEs while handling non-GNSS UEs through alternative mechanisms, thus avoiding the need to universally extend the window for all UEs.
Solution Approach 2:
The patent applies local quality by providing class-specific random access configurations tailored to the capabilities of each UE type. GNSS-capable UEs receive configurations optimized for their pre-compensation abilities, while non-GNSS UEs receive configurations adapted to their limitations, ensuring each class operates with appropriate resource allocations without affecting the other.
2Loss of energy
If the network provides class-specific random access configurations, then resource efficiency improves, but device complexity increases due to multiple configuration management
Solution Approach 1:
The patent implements self-service by enabling UEs to autonomously determine their own class based on their GNSS capability and select the appropriate pre-configured random access configuration. This self-determination mechanism eliminates the need for complex network-side classification and configuration assignment, reducing device complexity while maintaining resource efficiency.
Solution Approach 2:
The patent uses parameter changes by introducing a class identifier parameter that UEs use to select from different configuration sets. This simple parameter-based selection mechanism allows UEs to switch between configuration types without complex processing, balancing resource efficiency with manageable device complexity.
Data Source
AI summary
Systems and methods for supporting random access for wireless devices have different levels of random access pre-compensation and/or Global Navigation Satellite System (GNSS) capabilities are disclosed. In one embodiment, a method performed by a wireless device comprises obtaining two or more random access configurations for two or more wireless device classes that support different levels of pre-compensation for random access, have different GNSS capabilities, or both. The method further comprises selecting a random access configuration to be used by the wireless device from the two or more random access configurations. In this manner, random access is tailored to the capabilities of the wireless device.