NB-IoT Power Class Based CE Level Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current NB-IOT technologies fail to optimize random access procedures effectively, leading to increased failure rates and inefficient battery consumption due to the lack of consideration for the power class of user equipment in PRACH resource selection for CE level determination.
Innovation Solution
The method involves taking the power class of user equipment into account when selecting PRACH resources, adjusting RSRP thresholds based on the power class parameter to optimize CE level determination, thereby improving network access procedures in NB-IOT systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RSRP thresholds are adjusted based on power class parameter, then random access failure rate is reduced, but device complexity increases
Solution Approach 1:
The patent adjusts RSRP thresholds dynamically based on the power class parameter of the user equipment. Different power classes (e.g., 14dBm, 20dBm, 23dBm) have different RSRP threshold values applied, allowing the system to adapt to varying device capabilities and reduce random access failures without requiring complex hardware changes
Solution Approach 2:
The user equipment autonomously determines its own power class parameter and selects appropriate PRACH resources based on adjusted RSRP thresholds. This self-service mechanism reduces the need for complex network-side control and minimizes signaling overhead while improving access reliability
2Use of energy by moving object
If power class parameter is considered in PRACH resource selection, then battery consumption is optimized, but measurement precision requirements increase
Solution Approach 1:
The patent applies different RSRP threshold adjustments locally tailored to each power class. Devices with lower power classes (e.g., 14dBm) receive more aggressive threshold adjustments and coverage enhancement configurations compared to higher power classes (e.g., 23dBm), optimizing battery consumption for each device category without requiring ultra-precise measurements across all devices
Solution Approach 2:
The system applies partial adjustments to RSRP thresholds based on power class, rather than requiring perfect precision. The adjustment mechanism uses discrete power class categories and corresponding threshold offsets, providing sufficient optimization for battery consumption without demanding extreme measurement precision
Data Source
Figure 1
Figure 2
Figure 3
AI summary
In accordance with the exemplary embodiments of the invention there is at least a method and apparatus to perform receiving, by a user equipment, signaling including at least one of a plurality of reference signal received power (RSRP) threshold levels; determining, by the user equipment, a power class parameter associated with the user equipment; and selecting, based on at least the at least one of the plurality of reference signal received power threshold levels and said power class parameter, a resource set of one or more resource sets to perform a network access procedure with a communication network.