Random Access Fallback Feedback for 2-Step NR Configuration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In LTE and NR communication, terminal devices frequently fall back to the 4-step random access process due to inadequate network configuration of the 2-step random access process, reducing the success rate of random access.
Innovation Solution
A communication method where a network device receives a report from a terminal device indicating the fallback manner from 2-step to 4-step random access, allowing the network to adjust configuration parameters such as time-frequency resources and quality thresholds to optimize 2-step random access, thereby minimizing frequent fallbacks and improving success rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the network side uses default configuration for 2-step random access, then the configuration process is simple, but the terminal device frequently falls back to 4-step random access reducing success rate
Solution Approach 1:
The terminal device feeds back fallback information to the network side, indicating whether it performed active or passive fallback from 2-step to 4-step random access. The network side uses this feedback to adjust configuration parameters such as msgA transmission opportunities, time-frequency resources, and quality thresholds, creating a closed-loop optimization system that improves random access success rate while maintaining manageable configuration complexity.
Solution Approach 2:
The network side dynamically adjusts 2-step random access configuration parameters based on terminal feedback, including modifying the quantity of msgA transmission opportunities, allocating time-frequency resources for msgA transmission, and adjusting quality thresholds. These parameter changes optimize the 2-step random access process to reduce frequent fallbacks while keeping the configuration process tractable.
2Reliability
If the network side increases msgA transmission opportunities, then the random access success rate improves, but the time-frequency resource consumption increases
Solution Approach 1:
The network side dynamically allocates time-frequency resources for msgA transmission based on terminal feedback and network conditions. Rather than statically increasing resources for all terminals, the system adaptively assigns resources only to terminals that benefit from additional msgA opportunities, optimizing the balance between random access success rate and resource consumption.
Solution Approach 2:
The network side applies different configuration strategies to different terminal devices based on their specific fallback behavior patterns. Terminals exhibiting frequent fallback receive tailored configuration adjustments such as increased msgA opportunities or modified quality thresholds, while terminals with good 2-step random access performance use default configurations, thereby optimizing resource allocation locally rather than uniformly across all terminals.
Data Source
AI summary
Embodiments of this application provide a communication method and a communication apparatus, and relate to the communication field. The method includes: A first network device receives a first report from a terminal device, where the first report includes first information, and the first information indicates that the terminal device passively falls back from 2-step random access to 4-step random access, or actively falls back from 2-step random access to 4-step random access. The first network device performs processing based on the first report.