Baseband Chip Frequency Control for Thermal Management
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Solution Overview
Problem
Mobile phone terminals experience energy consumption-related interruptions due to heat generation from baseband chip calculations, leading to reduced computing capabilities and potential communication disruptions, especially in high-rate mobile communication applications like 5G and Beyond 5G systems, where heat dissipation is inadequate, causing surface temperatures to exceed human skin safety levels.
Innovation Solution
A method is introduced to predict the probability of energy consumption-related interruptions using an energy consumption-related interruption probability model, which adjusts the operating frequency of the baseband chip to mitigate heat generation and maintain communication quality. The model considers factors like chip temperature, communication duration, and heat transfer coefficients, and adjusts the operating frequency based on predicted interruption probabilities to prevent overheating.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the baseband chip operates at high computing capabilities to support high-rate mobile communication applications, then the transmission rate is improved, but the heat generation power increases causing the surface temperature to exceed safety levels
Solution Approach 1:
The patent implements dynamic frequency adjustment of the baseband chip based on real-time temperature monitoring and interruption probability prediction. The operating frequency is continuously adapted to balance transmission rate requirements with thermal safety constraints, transitioning from static to dynamic operation modes
Solution Approach 2:
The system changes operational parameters (frequency, power consumption) based on predicted interruption probabilities and actual temperature measurements. By adjusting these parameters dynamically, the system optimizes the trade-off between transmission performance and thermal management
2Temperature
If the baseband chip reduces computing capabilities to reduce heat generation, then the surface temperature is controlled, but the transmission rate decreases
Solution Approach 1:
The system employs feedback mechanisms where temperature measurements and interruption probability predictions are continuously fed back to adjust the operating frequency. This closed-loop control ensures temperature remains within safety limits while maximizing transmission rate within thermal constraints
Solution Approach 2:
The system performs preliminary action by predicting interruption probabilities in advance and proactively adjusting operating frequency before temperature exceeds safety thresholds. This preventive approach avoids thermal violations while maintaining optimal performance
3Duration of action of stationary object
If the communication duration is extended to provide seamless coverage, then the network coverage is improved, but the heat accumulation increases causing energy consumption-related interruptions
Solution Approach 1:
The system implements periodic temperature monitoring and probability prediction at defined time intervals (e.g., every 100ms). This periodic action allows the system to manage thermal accumulation over extended communication durations by regularly assessing and adjusting operational parameters
4Productivity
If the baseband chip operates continuously at high frequency to maintain peak performance, then the computing capability is maintained, but the energy consumption increases causing interruptions
Solution Approach 1:
The system dynamically adjusts operating frequency based on actual interruption probability predictions rather than maintaining static peak performance. This dynamic operation optimizes the balance between computing capability and energy consumption by adapting to real-time thermal and performance conditions
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively reduces the occurrence of energy consumption-related interruptions by balancing chip temperature, communication duration, and downlink rate, ensuring stable communication performance and user safety by adjusting the baseband chip's operating frequency and voltage, thereby preventing computational overload and maintaining peak processor performance.
Implementation Method 1
heat generated from the calculation by a baseband chip of a mobile phone terminal device causes an increase in surface temperature
Implementation Method 2
heat transfer coefficients
Data Source
AI summary
A method for optimizing a mobile phone terminal based on a probability of an energy consumption-related interruption is disclosed. The method includes: S1. predicting a probability of an energy consumption-related interruption in real time; and S2. adjusting an operating frequency of a baseband chip of a mobile phone terminal according to the predicted probability of an energy consumption-related interruption.

