Random Access Control by Coverage Level in MTC Networks
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Solution Overview
Problem
Existing Machine-type Communication (MTC) technologies face challenges in efficiently managing access control and load balancing in varying coverage levels, particularly in deep coverage scenarios, leading to resource congestion and inaccurate RSRP measurements.
Innovation Solution
Implementing access control parameters specific to predefined coverage levels, including access class barring mechanisms tailored for each coverage enhancement level (CE level) to manage Random Access procedures, allowing networks to prioritize deep coverage UEs and optimize resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If access control parameters are not differentiated by coverage level, then the system structure remains simple, but resource allocation efficiency deteriorates and deep coverage UEs cannot be prioritized during congestion
Solution Approach 1:
The patent segments access control parameters by coverage level (CE level), creating separate parameter sets for different coverage conditions. This allows the system to apply appropriate parameters for each coverage level, improving resource allocation efficiency while maintaining manageable complexity through structured organization.
Solution Approach 2:
The patent applies different access control parameters locally to specific coverage levels rather than using uniform parameters system-wide. This enables deep coverage UEs to receive prioritized treatment during congestion through coverage-level-specific parameters, while shallow coverage areas operate with standard parameters.
2Measurement precision
If coverage-level specific access control parameters are implemented, then access control precision is improved, but signaling overhead increases
Solution Approach 1:
The access control parameters are segmented into coverage-level-specific groups, allowing precise control for each CE level. This segmentation enables the system to broadcast only the necessary parameters for each coverage level, managing signaling overhead through structured parameter organization.
Solution Approach 2:
The patent adds a coverage level dimension to the access control parameter structure, organizing parameters along this new dimension. This dimensional organization allows the system to efficiently manage and broadcast parameters specific to each coverage level without excessive signaling overhead.
3Reliability
If uniform access control is applied to all coverage levels, then system operation is simple, but deep coverage UEs suffer during network congestion
Solution Approach 1:
The patent applies different access control characteristics locally to deep coverage UEs through coverage-level-specific parameters. During congestion, deep coverage UEs benefit from prioritized parameter settings, while the overall system maintains operational simplicity through automated coverage level identification and parameter application.
Solution Approach 2:
The system automatically identifies the coverage level of each UE and applies the appropriate access control parameters without requiring manual configuration or complex intervention. This self-service mechanism improves reliability for deep coverage UEs while keeping the control mechanism manageable through automated operation.
Data Source
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AI summary
An apparatus comprising circuitry configured to perform a Random Access procedure that is based on one or more access control parameters that are specific for a predefined coverage level.