Wireless Terminal Power State Parameter Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for setting power state parameters in wireless terminals are inefficient in balancing power savings with the need to avoid temporary inactive states, leading to suboptimal battery consumption and resource usage in cellular networks.
Innovation Solution
A method that simulates and determines optimal power state parameters based on traffic characterization parameters, such as inter packet arrival times, to minimize power and resource usage while maintaining packet delay, involving the evaluation of multiple sets of parameters and their association with specific traffic flows, and sending these parameters to wireless terminals only when significant changes occur.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power state parameters are set to save power, then battery consumption is reduced, but packet delay increases and service quality deteriorates
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting power state parameters (such as DRX cycle duration, on-duration, inactivity timer values) based on traffic characteristics. The system evaluates multiple parameter sets and selects optimal values that balance power savings with service quality requirements, resolving the contradiction between energy efficiency and reliability.
Solution Approach 2:
The patent implements dynamics by making power state parameters adaptive rather than static. The system continuously monitors traffic patterns and adjusts parameters in real-time to match actual service requirements. This dynamic adjustment allows the system to optimize the trade-off between power consumption and service quality based on current operational conditions.
2Reliability
If power state parameters are set to minimize inactive states, then service quality is maintained, but power consumption increases
Solution Approach 1:
The system changes power state parameters based on traffic characterization to achieve optimal balance. By analyzing inter-packet arrival times and traffic patterns, the system adjusts parameters to minimize unnecessary inactive states while still achieving significant power savings, resolving the contradiction between service quality and power consumption.
Solution Approach 2:
The patent employs feedback mechanisms where the system monitors actual traffic conditions and adjusts power state parameters accordingly. This feedback loop enables the system to learn from actual service requirements and optimize parameter settings to minimize the trade-off between maintaining service quality and reducing power consumption.
3Ease of manufacture
If power state parameters are determined using service class only, then configuration is simple, but power saving optimization is insufficient
Solution Approach 1:
The patent applies segmentation by dividing the parameter determination process into multiple stages: traffic characterization, simulation of multiple parameter sets, cost evaluation, and selection. This segmented approach maintains configurability while adding sophisticated optimization based on actual traffic patterns, resolving the contradiction between simplicity and optimization.
Solution Approach 2:
The system performs preliminary traffic characterization and simulation before final parameter selection. By pre-evaluating multiple parameter sets against simulated traffic patterns, the system prepares optimized configurations in advance, maintaining ease of configuration while achieving superior power saving optimization.
Data Source
Figure 1~2B
Figure 2C~3
Figure 4
AI summary
According to a first aspect, it is presented a method, performed by a network device, for determining a set of power state parameters at least partly defining when a wireless terminal is to be in an active state or a power saving state. The method comprises the steps of: obtaining at least one traffic characterisation parameter; for each traffic flow, simulating a plurality of sets of power state parameters; obtaining at least one operational traffic characterisation parameter; associating the operational traffic with a selected traffic flow; finding an applicable set of power state parameters by finding a set of power state parameters with a low cost, wherein the set of power state parameters are associated with the selected traffic flow; and sending the applicable set of power state parameters to the wireless terminal in operation. A corresponding network node, computer program and computer program product are also presented.