AI-Native RACH Parameter Selection for UE-Specific Access
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Solution Overview
Problem
Existing wireless communication systems, particularly in 5G NR, face challenges in optimizing random access channel (RACH) procedures due to rigid network-defined parameter configurations, which do not account for the unique conditions and performance metrics of individual user equipment (UEs).
Innovation Solution
Implementing an AI/ML model at the UE to flexibly select RACH parameters such as initial preamble power, retransmission quantity, power ramp-up step, scaling factor, and contention resolution timer within configurable ranges, based on historical performance metrics, allowing for optimized RACH procedures tailored to the specific UE conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network-defined parameter configurations are used for RACH procedures, then system-wide consistency and simplicity are maintained, but adaptability to individual UE conditions and performance optimization are limited
Solution Approach 1:
The patent implements dynamic RACH parameter selection at the UE level, where the device can adaptively adjust parameters such as preamble power, time offset, and frequency offset based on real-time channel conditions and historical performance metrics. This transforms the static network-defined configuration into a dynamic, UE-specific optimization mechanism that resolves the contradiction between adaptability and complexity.
Solution Approach 2:
The patent enables the UE to modify multiple RACH parameters simultaneously based on monitored performance metrics and channel conditions. The device can change power levels, timing offsets, and frequency offsets independently for different RACH attempts, allowing fine-grained optimization of access performance while maintaining manageable complexity through structured parameter groups.
2Productivity
If rigid network-defined parameter configurations are used, then implementation simplicity is maintained, but RACH procedure performance and communication efficiency deteriorate
Solution Approach 1:
The patent implements a feedback mechanism where the UE monitors RACH procedure outcomes and channel conditions, then uses this information to adjust parameters for subsequent attempts. The device tracks success/failure patterns and adapts power, timing, and frequency parameters based on observed performance, creating a closed-loop optimization system that improves communication efficiency while managing complexity through systematic feedback processing.
Solution Approach 2:
The patent enables the UE to perform preliminary assessments of channel conditions and select optimal RACH parameters before actual transmission. The device can pre-calculate appropriate power levels and timing offsets based on current measurements, allowing it to execute optimized RACH procedures without requiring complex real-time adjustments during the critical access phase.
Data Source
AI summary
Apparatus, methods, and computer program products for wireless communication are provided. An example method may include monitoring a set of KPIs associated with at least one RACH procedure. The example method may further include performing a RACH procedure based on a type of the RACH procedure, at least one transmit power within at least one transmit power range, a maximum quantity of preambles within a range of maximum quantity of preambles, a scaling factor within a range of scaling factor, or at least one reference signal threshold within at least one reference signal threshold range, the RACH procedure being separate from the at least one RACH procedure, the type of the RACH procedure, the at least one reference signal threshold range, the range of maximum quantity of preambles, the range of scaling factor, or the at least one transmit power range being based on the set of KPIs.