5G User Equipment CPU Core Clock Adjustment
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Solution Overview
Problem
Current 5G networks face challenges in dynamically adjusting CPU clock speeds of multicore processors, leading to processing bottlenecks and inefficient power usage, as existing mechanisms are static and unable to modify clock speeds independently or dynamically based on situational computational needs.
Innovation Solution
A method is introduced to dynamically adjust CPU clock speeds of user equipment in 5G networks using AI-based dynamic clock management, which generates a secured dedicated logical channel to collect device information, identifies situational insights, and recommends optimal clock speeds for each core based on workload forecasts, enabling dynamic overclocking or underclocking to address emergency situations and optimize battery life.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static clock speed mechanisms are used, then device complexity is reduced, but processing productivity deteriorates due to bottlenecks in emergency situations
Solution Approach 1:
The patent implements dynamic clock speed adjustment by transitioning from static to dynamic clock management. The system continuously monitors workload conditions and adjusts CPU clock speeds in real-time based on actual processing demands, allowing the clock management system to adapt its behavior dynamically rather than operating with fixed predetermined settings.
Solution Approach 2:
The clock management system performs self-adjustment by autonomously monitoring its own workload conditions and making independent decisions about clock speed changes. The system uses internal sensors and feedback mechanisms to detect processing demands and automatically modifies clock speeds without requiring external intervention, enabling the system to serve its own clock management needs.
2Use of energy by moving object
If dynamic clock speed adjustment is implemented, then power usage efficiency is improved, but device complexity increases due to additional monitoring and control mechanisms
Solution Approach 1:
The patent implements a feedback mechanism where the clock management system continuously monitors workload conditions, processing demands, and power consumption levels. This feedback loop enables the system to adjust clock speeds based on actual operational conditions, optimizing power efficiency by reducing clock speeds during low-demand periods and maintaining high performance when needed, while the feedback information itself guides the adjustment decisions.
Solution Approach 2:
The system optimizes power efficiency by dynamically changing the clock speed parameter based on workload conditions. The patent modifies the operational parameters of the CPU cores by adjusting clock frequencies according to actual processing demands, thereby achieving better power efficiency without requiring fundamental changes to the hardware architecture.
3Adaptability or versatility
If independent per-core clock adjustment is enabled, then adaptability to different computational needs is improved, but ease of operation deteriorates due to complex control requirements
Solution Approach 1:
The patent applies segmentation by enabling independent clock speed control for each CPU core rather than managing all cores uniformly. This allows different cores to operate at different clock speeds based on their specific workload requirements, with each core's clock management being segmented and handled independently according to its own computational demands.
Solution Approach 2:
The system implements local quality by allowing each CPU core to have its own customized clock speed settings based on local workload conditions. Rather than applying a uniform clock management policy across all cores, the patent enables each core to operate with quality parameters (clock speeds) tailored to its specific computational needs and operational context.
4Productivity
If AI-based dynamic clock management is deployed, then computing performance is enhanced, but loss of information increases due to additional data collection requirements
Solution Approach 1:
The patent implements preliminary action by establishing a dedicated logical channel for AI-based clock management before actual clock adjustment operations begin. This pre-configured channel enables the system to collect necessary workload information and training data in advance, allowing the AI model to learn optimal clock management strategies proactively rather than reactively, thereby enhancing computing performance while managing information collection requirements.
Data Source
AI summary
Aspects of the present invention disclose a method for dynamically adjusting a clock speed of a core of a multicore processor of user equipment. The method includes one or more processors generating a dedicated logical channel from a user device to a multidomain service orchestration layer of a fifth generation (5G) telecom network. The method further includes collecting information of the user device through the dedicated logical channel. The method further includes identifying situational insight of the user device based at least in part on the information of the user device. The method further includes identifying determining a workload forecast of one or more cores of the user device based at least in part on the situational insight. The method further includes identifying determining a recommended central processing unit (CPU) clock speed for a CPU core of the user device based at least in part on the workload forecast.