Dynamic Measurement Reporting for Wireless Device Energy Efficiency
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Solution Overview
Problem
Conventional wireless telecommunication networks face energy inefficiencies due to static measurement reporting intervals in user equipment (UE), which consume limited processing and power resources without considering device activity, power characteristics, or UE density, leading to potential battery life reduction without compromising network decision-making capabilities.
Innovation Solution
A dynamic measurement reporting scheme that adjusts reporting frequency based on UE power state, mobility, and density, allowing for reduced reporting intervals when necessary to conserve energy without jeopardizing network operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static measurement reporting intervals are used, then network operational decisions can be made, but UE energy consumption increases
Solution Approach 1:
The patent implements dynamic measurement reporting intervals that adjust based on UE conditions such as power state, mobility, and UE density. Instead of using fixed static intervals, the system modifies the reporting frequency adaptively - extending intervals when UE energy is abundant or conditions are stable, and reducing intervals when energy is critical or conditions change rapidly. This resolves the contradiction by making the reporting mechanism flexible rather than rigid.
Solution Approach 2:
The system changes the temporal parameter (reporting interval duration) based on multiple input parameters including UE power state, mobility status, and UE density. By dynamically adjusting this key parameter, the system optimizes the balance between providing sufficient measurement data for network decisions and conserving UE energy resources.
2Measurement precision
If frequent measurement reporting is performed, then network decision-making accuracy is maintained, but UE battery life is reduced
Solution Approach 1:
The measurement reporting frequency is dynamically adjusted based on real-time UE conditions. When UE battery level is high or conditions are stable, the system extends reporting intervals to conserve energy. When battery is low or conditions change rapidly (high mobility), the system increases reporting frequency to maintain measurement accuracy. This dynamic adaptation resolves the contradiction between measurement precision and battery life.
Solution Approach 2:
The system modifies the reporting interval parameter in response to changing conditions, using inputs such as power state, mobility, and UE density to determine optimal reporting frequency. This parameter adjustment strategy ensures measurement accuracy is maintained only when necessary, thereby preserving battery life.
3Loss of energy
If measurement reporting considers UE conditions, then energy efficiency improves, but system complexity increases
Solution Approach 1:
The system applies different measurement reporting strategies to different UEs based on their individual conditions. Each UE receives customized reporting interval adjustments based on its specific power state, mobility characteristics, and local UE density. This localized approach improves energy efficiency without requiring a completely new system architecture.
Solution Approach 2:
The system uses feedback from UE conditions (power state, mobility, density) to continuously adjust reporting intervals. This feedback mechanism enables automatic adaptation to changing conditions, improving energy efficiency through a relatively simple closed-loop control structure rather than complex centralized optimization.
Data Source
AI summary
Systems and method are provided for improving the energy efficiency of a wireless communication device that is configured to provide measurement reports characterizing the air interface. Conventionally, devices are configured to provide measurement reports at a static and predetermined interval. The present disclosure modifies the periodicity of measurement reports based on one or more of several factors including a device power state, proximity to other devices, and device movement. Under certain circumstances, the time between subsequent measurement reports is increased, conserving processing and transmission power of the affected device.