5G NR Random Access Feedback for Unlicensed Band Success
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 5G NR technology faces challenges in successfully accessing unlicensed frequency bands due to issues with channel condition selection and initial transmission power settings, leading to a low success rate of random access processes.
Innovation Solution
A method where terminals record association information during random access and report it to the base station after establishing an RRC connection, allowing the base station to determine parameters for other terminals, such as initial transmission power and random access type, thereby improving the success rate of random access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If terminals attempt random access in unlicensed frequency bands using conventional methods, then the random access process can be initiated, but the success rate is low due to inappropriate channel condition selection and initial transmission power settings
Solution Approach 1:
The base station performs preliminary actions by determining appropriate random access parameters (channel conditions, initial transmission power) for different terminals before the actual random access occurs. These parameters are stored in advance and retrieved during the random access process, eliminating the need for terminals to independently configure complex parameters and ensuring optimal settings are used from the start.
Solution Approach 2:
The system implements feedback mechanisms where the base station receives random access results from terminals and uses this information to adjust and optimize the predetermined random access parameters for future attempts. This closed-loop approach continuously improves the random access success rate by learning from actual performance data and refining parameter selections.
2Measurement precision
If terminals independently select channel conditions and transmission power for random access, then the process can be autonomous, but the selection accuracy is insufficient leading to low success rates
Solution Approach 1:
The base station acts as an intermediary that determines optimal random access parameters on behalf of terminals. Instead of terminals directly selecting channel conditions and transmission power, the base station calculates these parameters based on its comprehensive knowledge of network state and terminal characteristics, then provides them to terminals for execution. This mediator approach significantly improves selection accuracy while reducing terminal complexity requirements.
Solution Approach 2:
The system dynamically adjusts random access parameters (channel conditions, initial transmission power, random access preamble formats) based on terminal-specific characteristics and network conditions. The base station customizes parameter sets for different terminals rather than using fixed or terminal-autoselected values, enabling precise adaptation to varying scenarios and improving measurement precision in parameter selection.
Data Source
AI summary
A random access method performed by a terminal includes: recording association information related to a random access process of attempting to access a base station during the random access process; and reporting the association information to the base station after establishing a radio resource control (RRC) connection with the base station.