Dynamic Thermal Management for 5G Wireless Devices
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Solution Overview
Problem
Modern wireless devices face challenges in managing thermal energy effectively, especially with the emergence of 5G technologies, where conventional thermal management policies become unsuitable due to changes in heat generation patterns, leading to potential overheating and reduced performance.
Innovation Solution
Implementing a dynamic thermal management system that uses multiple temperature sensors to differentiate between CPU-centric and 5G-centric workloads, allowing for intelligent selection and application of thermal management policies to throttle components, adjust clock frequencies, and balance performance and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If conventional thermal management policies are used, then device structure remains simple and implementation is easy, but thermal performance deteriorates under 5G workload conditions leading to overheating
Solution Approach 1:
The thermal management system dynamically adapts its behavior based on real-time temperature readings from multiple sensors. The system transitions from static conventional policies to dynamic policy selection, where the active thermal management policy is selected based on current temperature conditions and workload characteristics, allowing the system to respond flexibly to changing thermal states without requiring complete system redesign
Solution Approach 2:
The thermal management approach is segmented into multiple specialized policies (CPU-centric policy and modem-centric policy) that address different thermal challenges. Additionally, multiple temperature sensors are strategically placed to monitor different regions of the device, enabling localized thermal assessment and targeted policy application rather than uniform management across the entire device
2Measurement precision
If multiple temperature sensors are deployed to differentiate workload types, then workload detection accuracy improves, but device complexity and manufacturing cost increase
Solution Approach 1:
Different temperature sensors are placed in specific locations optimized for detecting thermal signatures of different workload types. The modem temperature sensor is positioned to detect modem-specific thermal patterns, while the CPU temperature sensor monitors CPU-related thermal characteristics. This localized sensing approach enables accurate workload differentiation without requiring a uniform sensor distribution across the entire device
Solution Approach 2:
The multiple temperature sensors serve dual purposes: they individually detect thermal conditions specific to their nearby components (modem or CPU), and collectively provide comprehensive thermal state information for overall device thermal management. This multi-functionality allows the sensor system to support both specialized workload detection and general thermal control without requiring separate sensor sets for each function
3Temperature
If dynamic thermal management policies are applied, then thermal performance improves and temperatures are controlled, but power consumption increases due to continuous monitoring and processing
Solution Approach 1:
The system implements feedback mechanisms where temperature sensor readings continuously inform thermal management policy selection and adjustment. The processor monitors temperature conditions and dynamically adjusts the active thermal management policy based on real-time feedback, creating a closed-loop control system that optimizes thermal performance while avoiding unnecessary interventions when thermal conditions are acceptable
Solution Approach 2:
The thermal management system applies targeted actions only when and where needed rather than continuously managing all components. The policy selection mechanism activates specific thermal management strategies (CPU-centric or modem-centric) only when temperature conditions warrant intervention, allowing partial action on specific components rather than exhaustive management of the entire system, thereby reducing unnecessary power consumption
Data Source
AI summary
Various aspects of the present disclosure include methods, components and wireless devices configured to determine appropriate generalized system-wide thermal management policies and settings in wireless devices depending upon whether communication activities are driving or otherwise causing thermal conditions. In various aspects, a processor may determine workload characteristics and select and apply an appropriate thermal management policy/solution (or thermal configuration, settings etc.) based on the determine workload characteristics. The processor may determine workload characteristics based upon data from two or more temperature sensors within the wireless device. The processor may select a generalized system-wide thermal management policy suitable for operating when communication activities (e.g., 5G communication activities) are generating so much heat that CPU-centric thermal management policies are in appropriate.