Wireless Resource Configuration via UE Preference Selection
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Solution Overview
Problem
Current 5G/NextGen wireless communication systems lack a method for users to indirectly select their preferred resource operation scheme, leading to inefficient resource allocation and service continuity across varying mobility levels and service demands.
Innovation Solution
A method where a network node receives resource preference information from user equipment (UE) to configure resources accordingly, selecting specific resource operation units based on performance-centric or energy-centric preferences, including DRX cycles, power saving modes, session schemes, QoS levels, and CQI reporting periods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the network node automatically configures resources for UE without user preference information, then resource allocation can be simplified and network burden reduced, but resource allocation efficiency and service continuity for varying mobility levels and service demands deteriorates
Solution Approach 1:
The UE autonomously determines its own resource operation preferences based on its mobility level, service type, and energy status, then communicates these preferences to the network node. This self-service approach allows the network to allocate resources efficiently according to actual user needs without requiring complex network-side analysis of each UE's requirements.
Solution Approach 2:
The network node pre-configures multiple resource operation units with different characteristics (e.g., different DRX cycles, power saving modes, QoS levels) before needing to allocate resources. When receiving resource preference information from UE, the network can quickly select from these pre-configured options, reducing allocation complexity while maintaining efficiency.
2Adaptability or versatility
If the network node configures multiple resource operation units with different characteristics, then resource allocation can be optimized for various user preferences and service types, but network processing burden and configuration complexity increases
Solution Approach 1:
The resource space is segmented into multiple discrete resource operation units, each representing a specific combination of resource characteristics (DRX cycle, power saving mode, session scheme, QoS level, CQI reporting period). This segmentation allows the network to offer standardized resource configurations that balance adaptability with manageable complexity.
Solution Approach 2:
Different resource operation units are defined by varying key parameters such as DRX cycle length, power saving mode activation, session persistence settings, QoS levels, and CQI reporting frequencies. By systematically varying these parameters across different units, the network achieves comprehensive adaptability while maintaining a structured configuration approach.
3Reliability
If the network node selects specific resource operation units based on user preference information, then resource allocation aligns with user needs and service continuity improves, but network processing overhead increases
Solution Approach 1:
The network node performs partial processing by only evaluating resource operation units that match the received user preference information, rather than analyzing all possible resource configurations. This selective approach ensures service continuity through appropriate resource selection while minimizing unnecessary network processing energy consumption.
4Adaptability or versatility
If the system supports various mobility levels and service continuity requirements, then service coverage and user satisfaction improve, but resource management complexity and network burden increase
Solution Approach 1:
The UE autonomously assesses its own mobility level and service requirements, then communicates these preferences to the network. This self-service mechanism allows the system to support various mobility levels and service continuity requirements without requiring the network to perform complex real-time analysis of each UE's mobility state and service needs.
Solution Approach 2:
The system adapts to different mobility levels by selecting resource operation units with appropriate parameter configurations, such as adjusting DRX cycles for high-mobility scenarios, configuring power saving modes for low-activity services, and setting appropriate QoS levels for different service types. This parameter-based adaptation maintains resource management efficiency while supporting diverse mobility requirements.
Data Source
AI summary
In one aspect of the present invention, there is provided a method for configuring, by a network node, a resource of a user equipment (UE) in a wireless communication system including receiving resource preference information of the UE; configuring a resource for the UE based on the resource preference information; and transmitting, to the UE, a result of configuring the resource for the UE, wherein the configuring of the resource for the UE based on the resource preference information includes, when a plurality of resource operation units in which an entire available resource range is divided into a predetermined number is configured for the UE, selecting a specific resource operation unit among the plurality of resource operation units according to the resource preference information of the UE.