UE Random Access Parameter Reporting for LTE Optimization
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Solution Overview
Problem
Current LTE networks face challenges in accurately reflecting contention, delay, and failure issues caused by improper PRACH configuration parameters during random access procedures, leading to inefficient network optimization and high manpower costs.
Innovation Solution
User Equipment (UE) measures and reports parameter information, including contention and delay metrics, during random access procedures to the base station, enabling more precise optimization of random access channel configurations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual field testing and parameter modification is used to optimize random access channel configuration, then system performance can be improved, but network optimization efficiency remains low and manpower costs are high
Solution Approach 1:
The system enables self-service optimization by allowing the network to automatically collect, analyze, and adjust random access parameters based on real-time measurements from multiple UEs, eliminating the need for manual field testing and continuous human intervention while maintaining high optimization efficiency
Solution Approach 2:
The patent implements a feedback mechanism where UEs measure random access parameters (contention, delay, success rate) and report them to the base station, which then uses this feedback to automatically adjust PRACH configuration parameters, creating a closed-loop optimization system that continuously improves performance
2Reliability
If PRACH configuration parameters are manually optimized after cell establishment, then random access performance can be improved, but the complexity of radio environment makes manual optimization ineffective and time-consuming
Solution Approach 1:
The patent replaces the manual mechanical optimization process with an automated electronic measurement and adjustment system. UEs automatically measure random access parameters under various radio conditions and the base station electronically adjusts parameters based on this data, eliminating the need for manual intervention in complex radio environments
Solution Approach 2:
The system dynamically changes PRACH configuration parameters (such as preamble format, time-frequency resources, power levels) based on measured performance metrics and current radio conditions, allowing the network to adapt to varying radio environment complexity without manual reconfiguration
3Quantity of substance
If 64 preamble sequence codes are divided into three groups for competition-based and non-competition-based access, then random access capacity is increased, but contention phenomena still occur leading to access failures and time delays
Solution Approach 1:
The patent makes the preamble code group assignment dynamic by allowing the base station to adjust which UEs use which preamble groups based on real-time measurements of contention levels, delay, and success rates. This dynamic allocation optimizes the utilization of all 64 preamble codes and reduces contention-related failures
Solution Approach 2:
The system changes the configuration parameters of preamble code groups (such as the number of codes allocated to each group, which groups are used for competition-based vs. non-competition-based access) based on measured performance metrics, allowing optimal distribution of the 64 available codes to minimize contention and maximize success rate
Data Source
AI summary
The present invention discloses a method and User Equipment (UE) for acquiring random access information. The method comprises: during a random access procedure, the UE measures and acquires parameter information in the random access procedure; and after the success of the random access, the UE reports partial or all of acquired parameter information to a base station. According to the present invention, the base station can optimize the random access according to the parameter information reported by the terminal, thereby improving the precision of the random access optimization.