RACH Parameter Optimization via UE Failure Feedback
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Solution Overview
Problem
Existing communication systems face inefficiencies in random access and resource allocation due to improper configuration of random access channel (RACH) parameters, leading to lower success rates and system capacity issues.
Innovation Solution
User Equipment (UE) records and reports random access or resource request failure information to the network device, enabling network management to optimize RACH parameters and improve allocation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RACH parameters are configured without failure feedback, then the system structure remains simple, but random access success rate and system capacity are reduced
Solution Approach 1:
The patent implements a feedback mechanism where the UE records random access failure information and reports it to the network device. The network device uses this feedback to optimize RACH parameters dynamically, thereby improving random access success rate and system capacity while managing complexity through structured information collection and processing.
2Productivity
If failure information recording and reporting is implemented, then parameter optimization capability is improved, but UE and network processing complexity increases
Solution Approach 1:
The UE autonomously records failure information and determines when to report it to the network device without requiring continuous network control. This self-service approach enables the UE to manage its own optimization data while reducing network processing burden, thereby improving optimization efficiency while controlling complexity.
Solution Approach 2:
The patent extracts only the essential failure information needed for optimization from the complete random access process logs. By selecting and reporting only critical parameters rather than all data, the system reduces information processing complexity while maintaining sufficient data for effective parameter optimization.
3Loss of time
If RACH resource allocation is not optimized based on failure data, then system operation remains simple, but call setup delay and handover delay increase
Solution Approach 1:
The system performs preliminary recording of failure information during random access attempts, which is then used for subsequent parameter optimization. This preliminary action enables the network to learn from past failures and adjust resource allocation in advance, reducing call setup delay and handover delay without requiring complex real-time optimization during active communication.
Data Source
AI summary
A method for data transmission, a method for parameter optimization, an apparatus, and a device are provided. The method for data transmission includes: initiating, by user equipment UE, a random access request or a resource request to a network device; recording, by the UE, random access failure information or resource request failure information; and when detecting that the UE has successfully accessed the network device, sending the random access failure information or the resource request failure information to the network device, so that the network device sends the random access failure information or the resource request failure information to a network management device for parameter optimization processing.