UE Assistance Information Message Parameter Segmentation
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Solution Overview
Problem
The existing parameters for user equipment (UE) assistance information messages in wireless communication systems, such as 5G NR, are inadequate for modern devices, leading to high signaling overhead and inefficient power management, particularly for UEs with reduced capabilities like smartwatches and IoT devices.
Innovation Solution
The introduction of operation complexity control, network coverage control, and channel monitoring control parameters in UE assistance information messages, allowing UEs to dynamically adjust radio resource configurations based on performance objectives, including power savings and reduced hardware resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing parameters are used in UE assistance information messages, then the system maintains compatibility with legacy devices, but the parameters are inadequate for modern devices with reduced capabilities leading to high signaling overhead
Solution Approach 1:
The parameter set is segmented into multiple groups including operation complexity control parameters, network coverage control parameters, and channel monitoring control parameters. Each group addresses specific aspects of UE behavior, allowing the network to selectively apply appropriate parameters rather than transmitting all possible parameters, thereby reducing signaling overhead while improving adaptability for modern devices with reduced capabilities
Solution Approach 2:
The parameter configuration becomes dynamic rather than static. The network can adaptively select and configure parameters based on the specific capabilities and operational state of each UE, allowing the system to optimize for modern devices with reduced capabilities without being constrained by legacy parameter sets, thus resolving the contradiction between parameter adequacy and signaling overhead
2Adaptability or versatility
If more RRC parameters are configured to support diverse UE capabilities, then the system becomes more adaptable to different device types, but the signaling overhead increases
Solution Approach 1:
Different parameter configurations are applied locally to different UE types based on their specific capabilities. The network can identify UEs with reduced capabilities and apply tailored parameter sets that are appropriate for those specific devices, rather than using a universal comprehensive parameter set for all UEs. This localized approach maintains high adaptability for diverse device types while minimizing the signaling overhead for each individual UE
Solution Approach 2:
The system utilizes parameter changes to adapt to different UE capabilities without increasing overall signaling overhead. By introducing new parameter types (operation complexity control, network coverage control, channel monitoring control) that can take on different values based on UE capability, the system achieves greater adaptability while the actual number of parameters transmitted remains controlled through selective configuration based on device type
Data Source
AI summary
A user equipment (UE) may request to change its radio resource control (RRC) parameters by transmitting a UE assistance information message to a base station. However, the existing RRC parameters that a UE may request to change via a UE assistance information message may not be inadequate for some UEs and may cause a high signaling overhead. The aspects described herein include an apparatus that obtains configuration information for a UE assistance information message, the configuration information indicating a set of parameters the apparatus is allowed to indicate in the UE assistance information message, the set of parameters including at least one of an operation complexity control parameter, a network coverage control parameter, or a channel monitoring control parameter. The apparatus transmits the UE assistance information message, wherein the UE assistance information message is based on at least a portion of the set of parameters.