UE Mobility Handling with NES Cell Measurement Configurations
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Solution Overview
Problem
Current network energy saving technologies face challenges in efficiently managing handover procedures and energy consumption when target cells are in a network energy saving state, leading to latency and increased energy usage due to the need for cell reactivation and potential ping-pong effects between active and energy saving states.
Innovation Solution
Implementing a method where user equipment and network nodes use multiple measurement and reporting configurations based on the network energy saving state of target cells, allowing for dynamic adjustment of RRM measurements and reporting, including explicit or implicit determination of NES states through reference signal types and periodicity, to optimize handover decisions and reduce unnecessary energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the network node reconfigures measurement parameters when a target cell enters or exits NES state, then measurement accuracy is improved, but signaling overhead increases
Solution Approach 1:
The network node pre-configures multiple measurement parameter sets corresponding to different NES states of target cells before handover decisions are made. This allows the UE to immediately apply the appropriate measurement parameters based on the current NES state without waiting for reconfiguration signaling, thus improving measurement accuracy while reducing signaling overhead.
Solution Approach 2:
The measurement configuration is made dynamic by providing multiple parameter sets that can be selected based on the changing NES state of the target cell. The UE dynamically switches between different measurement parameter sets according to whether the target cell is in NES state or active state, ensuring optimal measurement accuracy adaptively without requiring continuous reconfiguration signaling.
2Measurement precision
If the network node waits for measurement reports before handover execution, then handover accuracy is improved, but handover latency increases
Solution Approach 1:
The network node pre-configures multiple measurement parameter sets corresponding to different NES states of target cells before handover decisions are made. This allows the UE to immediately apply the appropriate measurement parameters based on the current NES state without waiting for reconfiguration signaling, thus improving measurement accuracy while reducing signaling overhead.
Solution Approach 2:
The measurement configuration is made dynamic by providing multiple parameter sets that can be selected based on the changing NES state of the target cell. The UE dynamically switches between different measurement parameter sets according to whether the target cell is in NES state or active state, ensuring optimal measurement accuracy adaptively without requiring continuous reconfiguration signaling.
3Adaptability or versatility
If the network node frequently reconfigures measurement parameters to adapt to NES state changes, then adaptability is improved, but device complexity increases
Solution Approach 1:
The network node pre-configures multiple measurement parameter sets corresponding to different NES states of target cells before handover decisions are made. This allows the UE to immediately apply the appropriate measurement parameters based on the current NES state without waiting for reconfiguration signaling, thus improving measurement accuracy while reducing signaling overhead.
Solution Approach 2:
The measurement configuration is made dynamic by providing multiple parameter sets that can be selected based on the changing NES state of the target cell. The UE dynamically switches between different measurement parameter sets according to whether the target cell is in NES state or active state, ensuring optimal measurement accuracy adaptively without requiring continuous reconfiguration signaling.
Data Source
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AI summary
A method including determining, with a user equipment, to use a measurement and reporting configuration based, at least partially, upon a network energy saving state of a target cell; measuring, with the user equipment, with use of the measurement and reporting configuration; and determining, with the user equipment, to transmit a measurement report based upon the determined measurement and reporting configuration.