Autonomous Serving Cell Management in Wireless Terminals
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Solution Overview
Problem
In wireless communication systems, existing methods for managing serving cells in user equipment (UE) are inefficient, as they do not adaptively configure serving cells based on quality and capabilities, leading to unnecessary configuration of LTE cells and suboptimal network operation when switching between Radio Access Technologies (RATs).
Innovation Solution
A communication method where UE autonomously manages serving cells by determining whether to deactivate, delete, activate, or add serving cells based on predefined conditions related to measurement quality and capabilities, allowing adaptive configuration and efficient service provision through carrier aggregation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If serving cells are configured based on existing methods, then LTE cell configuration is provided, but unnecessary configuration occurs and network operation becomes suboptimal when switching between RATs
Solution Approach 1:
The UE autonomously manages serving cell configuration by evaluating measurement quality and capability conditions itself, without requiring continuous network control for each configuration decision. The UE determines whether to activate, deactivate, add, or delete serving cells based on predefined conditions related to measurement quality and UE capabilities, enabling self-service configuration that adapts to RAT switching requirements.
Solution Approach 2:
The serving cell configuration is made dynamic through autonomous UE management that continuously evaluates measurement quality and capability conditions. The configuration can change adaptively based on current network conditions and UE state, allowing the system to transition between different serving cell sets depending on whether LTE or other RATs are being used, rather than maintaining static configuration.
2Productivity
If autonomous serving cell management is implemented, then service efficiency is improved, but UE processing complexity increases
Solution Approach 1:
The UE performs autonomous management only for specific serving cells that meet certain conditions, rather than managing all serving cells uniformly. The UE evaluates measurement quality thresholds and capability conditions to determine which cells require autonomous management actions, applying partial action only where necessary to improve service efficiency without unnecessarily increasing processing complexity for all cells.
Solution Approach 2:
The serving cell management function is segmented into distinct operations: evaluating measurement quality, determining capability conditions, deciding activation/deactivation/addition/deletion actions, and reporting to the network. This segmentation allows the UE to process each aspect separately, reducing overall processing complexity while maintaining service efficiency through systematic autonomous management.
3Reliability
If measurement quality thresholds are used for serving cell management, then suboptimal network operation is prevented, but measurement and detection difficulty increases
Solution Approach 1:
The system uses measurable parameters such as reference signal received power (RSRP) and reference signal received quality (RSRQ) to evaluate serving cell quality. By changing the management approach to rely on these standardized radio measurement parameters, the system prevents suboptimal network operation while using well-defined measurement methods that UE equipment is already capable of performing, thus managing the difficulty of detection and measurement.
Data Source
AI summary
Disclosed is a communication method performed by a terminal in a wireless communication system. The method comprises: determining whether a serving cell management condition is satisfied; and managing a cell set including at least one serving cell for the terminal according to the satisfied serving cell management condition.