5G RRM Measurement Relaxation for Stationary RedCap Terminals
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Solution Overview
Problem
Existing RRM measurement methods for stationary terminals in 5G communication systems are inefficient, leading to unnecessary energy consumption and battery drain in devices with limited power sources.
Innovation Solution
A method for performing relaxed RRM measurement by exchanging RRC messages between terminals and base stations to identify and confirm stationary characteristics, allowing for enhanced relaxation criteria for RRM operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If RRM measurement is performed frequently to ensure network optimization, then measurement precision is improved, but energy consumption increases
Solution Approach 1:
The patent applies dynamics by making the RRM measurement configuration adaptive rather than static. The base station dynamically adjusts measurement requirements based on terminal mobility characteristics - stationary terminals receive relaxed measurement configurations while mobile terminals receive standard configurations. This resolves the contradiction by making measurement precision and energy consumption dependent on the terminal's movement state rather than applying a uniform approach to all terminals.
Solution Approach 2:
The patent changes the measurement parameters (measurement frequency, reporting intervals, etc.) based on the terminal's stationary or mobile state. For stationary terminals, measurement parameters are relaxed (lower frequency, longer intervals), while for mobile terminals, standard parameters are maintained. This parameter adaptation directly addresses the contradiction by adjusting measurement intensity to match actual terminal behavior patterns.
2Reliability
If RRM measurement is performed frequently to ensure network optimization, then reliability is improved, but loss of energy increases
Solution Approach 1:
The system dynamically adapts measurement reliability requirements based on terminal mobility. For stationary terminals, relaxed measurement configurations maintain sufficient network optimization reliability while significantly reducing energy loss. For mobile terminals, standard measurement configurations ensure reliability is maintained. This dynamic approach resolves the contradiction between reliability and energy loss.
Solution Approach 2:
The terminal autonomously determines its own mobility state and reports it to the base station, which then autonomously adjusts the measurement configuration. This self-service mechanism allows the system to optimize reliability and energy efficiency without continuous human intervention or complex centralized control, resolving the contradiction through autonomous adaptation.
3Measurement precision
If standard RRM measurement operations are used for all terminals, then measurement consistency is improved, but device complexity increases for reduced capability devices
Solution Approach 1:
The patent applies local quality by providing different measurement configurations tailored to specific terminal types. Reduced capability devices with stationary characteristics receive simplified, relaxed measurement configurations that match their capabilities, while other terminals receive standard configurations. This resolves the contradiction by making measurement consistency applicable locally to each terminal type rather than universally.
Solution Approach 2:
The patent changes measurement parameters based on terminal capability and mobility state. For reduced capability devices, parameters are adjusted to be less demanding (longer intervals, lower frequency), which reduces processing complexity while maintaining sufficient measurement consistency for their specific use case. This parameter differentiation resolves the contradiction between consistency and complexity.
Data Source
AI summary
The present disclosure relates to: a communication technique for merging an IoT technology with a 5G communication system for supporting a higher data transmission rate than a 4G system; and a system therefor. The present disclosure can be applied to intelligent services (for example, smart homes, smart buildings, smart cities, smart cars or connected cars, healthcare, digital education, retail businesses, security- and safety-related services, and the like) on the basis of a 5G communication technology and an IoT-related technology. A method and apparatus for performing relaxed radio resource management (RRM) measurement are disclosed.