Random Access Resource Selection for Emergency NPRACH Timeliness
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Solution Overview
Problem
Existing random access methods in NB-IoT and eMTC devices often fail to select resources of sufficient quality, particularly during emergencies, leading to poor timeliness in access procedures.
Innovation Solution
A method for selecting random access resources based on different probabilities for primary and non-primary frequency domain resources, determined by reference information and event types, ensuring higher chances of selecting resources with better quality during emergencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the same rule is used to select NPRACH resources for all random access events, then the selection process is simple, but resources of relatively good quality may not be selected for emergency-triggered random access, affecting access timeliness
Solution Approach 1:
The patent implements dynamic resource selection by adjusting the probability parameters (first probability and second probability) based on the trigger event type. For emergency events, the first probability is increased to favor primary frequency domain resources with better quality, while for normal events, the second probability is increased to utilize non-primary resources. This dynamic adjustment resolves the contradiction by making the selection process adaptive to different scenarios without requiring completely different selection rules for each event type.
Solution Approach 2:
The patent changes the probability parameters (first probability and second probability) according to the random access trigger event type. When an emergency event occurs, the first probability is set to a higher value to increase the likelihood of selecting primary frequency domain resources with better quality. This parameter change approach allows the system to optimize access timeliness for emergencies while maintaining a unified resource selection framework, thus resolving the contradiction between timeliness and complexity.
2Reliability
If primary frequency domain resources are always selected, then resource quality is high, but resource utilization efficiency decreases due to congestion on primary resources
Solution Approach 1:
The patent applies local quality by differentiating the selection probability for different types of frequency domain resources based on the random access event type. For normal events, non-primary frequency domain resources are favored (higher second probability) to distribute load and improve resource utilization efficiency. For emergency events, primary frequency domain resources with better quality are favored (higher first probability). This localized quality adjustment resolves the contradiction by optimizing resource selection for different scenarios rather than uniformly selecting primary resources.
Solution Approach 2:
The patent dynamically adjusts the probability distribution between primary and non-primary frequency domain resources based on the trigger event. During normal operations, the system dynamically shifts preference toward non-primary resources to improve utilization efficiency. During emergencies, it dynamically shifts preference toward primary resources to ensure quality and timeliness. This dynamic behavior resolves the contradiction between reliability and productivity by adapting resource selection to current needs.
Data Source
AI summary
This application discloses random access resource selection methods and apparatuses. In an implementation, a method includes obtaining reference information, and in response to determining that a first parameter and the reference information satisfies a preset condition, selecting a primary frequency domain resource or a non-primary frequency domain resource based on a first probability corresponding to the primary frequency domain resource and a second probability corresponding to the non-primary frequency domain resource.