Dynamic Power Saving for Wireless Traffic Patterns
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Solution Overview
Problem
Conventional power saving mechanisms in wireless communication systems are designed for burst-based traffic patterns and fail to optimize power usage for various user scenarios like voice/video calls and web browsing, as they consume power at a fixed level and cannot dynamically adjust performance.
Innovation Solution
The system implements dynamic power saving by monitoring real-time traffic patterns, including density and periodicity, to switch between different power saving mechanisms, balancing power saving and communication performance, and adjusting parameters such as Traffic Absence Period (TAP) and query packet intervals to optimize power efficiency across different applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If conventional power saving mechanisms operate at fixed power levels, then power consumption is reduced, but communication performance deteriorates for various user scenarios
Solution Approach 1:
The patent implements dynamic power saving by continuously monitoring traffic patterns (density and periodicity) and switching between different power saving mechanisms based on real-time conditions. The system adjusts power consumption levels dynamically rather than operating at fixed levels, allowing optimal balance between power saving and communication performance for different user scenarios such as voice calls, video streaming, and web browsing.
Solution Approach 2:
The system changes operational parameters including Traffic Absence Period (TAP) values and query packet intervals based on detected traffic patterns. By adjusting these parameters dynamically, the system adapts power consumption to match actual communication needs, resolving the contradiction between fixed power saving and variable performance requirements.
2Loss of energy
If power saving mechanisms are optimized for burst-based traffic, then power efficiency is improved for specific patterns, but adaptability to other traffic patterns deteriorates
Solution Approach 1:
The patent implements a universal power saving mechanism that can handle multiple traffic patterns (burst-based, voice calls, video streaming, web browsing) through a single unified system. The system monitors traffic characteristics and selects appropriate power saving mechanisms from multiple options, making it adaptable to various user scenarios rather than being optimized for just one pattern.
Solution Approach 2:
The system dynamically adapts to different traffic patterns by continuously monitoring characteristics such as traffic density and periodicity. Based on these observations, it switches between different power saving mechanisms, providing both high power efficiency for specific patterns and broad adaptability across diverse traffic types.
3Loss of energy
If the system continuously monitors traffic patterns to dynamically adjust power saving, then power saving efficiency is improved, but device complexity increases
Solution Approach 1:
The system performs self-service by autonomously monitoring its own traffic patterns and automatically selecting appropriate power saving mechanisms without requiring complex external control. The device monitors its communication traffic, analyzes patterns, and adjusts power consumption independently, reducing the need for complex external management while maintaining high power saving efficiency.
Solution Approach 2:
The system uses feedback from continuous traffic pattern monitoring to dynamically adjust power saving operations. By implementing closed-loop control where traffic observations feed into power mechanism selection, the system achieves high power saving efficiency through relatively simple monitoring and decision logic rather than complex predetermined configurations.
Data Source
AI summary
In some aspects, the disclosure is directed to methods and systems for providing dynamic power saving. A wireless device generates traffic statistics by determining density and periodicity of data traffic with a network. The data traffic is categorized into a first traffic pattern of a plurality of traffic patterns using the generated traffic statistics. The wireless device dynamically selects one of a plurality of predefined power management mechanisms in accordance to the first traffic pattern. The wireless device is configured to use the selected power management mechanism in accordance to the first traffic pattern.