Random Access Feature Reporting for Adaptive Resource Allocation
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Solution Overview
Problem
The introduction of new features such as coverage enhancement, network slice, and small data transmission in communication networks poses challenges in optimizing the random access procedure, leading to inefficient resource allocation and reduced network performance.
Innovation Solution
A method where user equipment (UE) records and reports information about the requested feature combination, including parameters and conditions of random access (RA), enabling network devices to optimize RA resources and improve utilization rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If new features (coverage enhancement, network slice, small data transmission) are introduced to enhance network performance, then network functionality and service quality are improved, but the random access procedure becomes more complex and resource allocation efficiency deteriorates
Solution Approach 1:
The patent segments the random access procedure by introducing feature combination indication information that categorizes different access scenarios (e.g., coverage enhancement, network slice, small data transmission). This segmentation allows the network to handle different feature combinations with dedicated parameters and procedures, reducing overall complexity while maintaining versatility.
Solution Approach 2:
The patent implements dynamic parameter configuration where RA parameters are adjusted based on the indicated feature combination. The network device dynamically selects and configures appropriate parameters (such as preamble formats, power ramping steps, timing adjustments) according to the UE's requested feature combination, enabling adaptive optimization without fixed complex procedures.
2Reliability
If random access procedure is optimized for specific features, then network performance for those features is improved, but resource allocation efficiency and overall network utilization deteriorate
Solution Approach 1:
The patent employs feedback mechanisms where the UE indicates its requested feature combination and parameters to the network device during the random access procedure. The network device uses this feedback information to allocate resources efficiently, adjusting parameters dynamically based on actual UE needs rather than using fixed or inefficient allocation schemes.
Solution Approach 2:
The patent changes RA parameters dynamically based on the indicated feature combination. Different feature combinations trigger different parameter sets (e.g., different preamble formats, power control steps, timing advance values). This parameter adaptation optimizes network performance for each feature while maintaining efficient resource utilization across all scenarios.
3Measurement precision
If detailed parameter information is collected and reported for each feature combination, then network optimization capability is improved, but information processing complexity and overhead increase
Solution Approach 1:
The patent extracts only the essential feature combination indication information from the complex set of possible RA parameters. Instead of collecting and processing every detailed parameter value, the system extracts the key identifier (feature combination type) and uses this to automatically determine the appropriate parameters, reducing processing complexity while maintaining measurement precision.
Solution Approach 2:
The patent creates a universal indication mechanism that handles multiple feature combinations through a single parameter set structure. The feature combination indication information serves multiple purposes: identifying the scenario type, selecting appropriate parameters, and configuring behavior. This multi-functionality reduces the need for separate processing paths for each feature.
Data Source
AI summary
Disclosed are an information processing method and a related device. In the method, a UE sends first information about random access (RA), wherein the first information indicates a parameter of a feature combination requested by the RA initiated by a user equipment (UE).