DFT Channel Identification Reducing Mobile Phone Energy Consumption
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Solution Overview
Problem
Current methods for synchronizing a mobile phone with a communication cell, such as PLMN search and HFO correction, are inefficient and consume significant energy due to the need for continuous radio receiver operation, leading to reduced autonomy and imprecise frequency corrections, especially when the frequency offset exceeds a certain range.
Innovation Solution
A method using firmware to process stored signal samples through Discrete Fourier Transform (DFT) for power spectral density determination, allowing for faster and more accurate channel identification, enabling the radio receiver to be shut down and improving autonomy, while also enabling simultaneous operation of different communication modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the radio receiver is kept on to perform channel scanning and synchronization, then the synchronization process can be performed, but energy consumption increases and autonomy decreases
Solution Approach 1:
The patent applies preliminary action by performing channel scanning and synchronization processes before the radio receiver needs to be activated for actual communication. The device pre-processes signal samples stored in memory using DFT algorithms to identify channels and determine power spectral density, so that when the radio receiver is turned on, the synchronization is already prepared or can be quickly completed without requiring continuous operation.
2Measurement precision
If the radio receiver is kept on to perform channel scanning, then channel identification can be performed, but the time required for synchronization increases
Solution Approach 1:
The patent replaces the traditional mechanical/electronic channel scanning method (requiring continuous radio receiver operation) with a computational method using Discrete Fourier Transform (DFT) algorithms processed on stored signal samples. This substitution allows channel identification to be performed through software processing rather than continuous hardware scanning, significantly reducing the time required while maintaining or improving measurement precision through more accurate spectral analysis.
3Productivity
If hardware processing means are used for channel scanning, then the process can be performed, but the device complexity increases
Solution Approach 1:
The patent substitutes complex hardware processing means with firmware-based DFT algorithms that run on the existing processor. Instead of requiring dedicated hardware channels for scanning and synchronization, the invention implements these functions through software/firmware processing of stored samples, reducing device complexity while maintaining productivity through efficient algorithmic implementation.
4Adaptability or versatility
If the radio receiver is kept on for PLMN search and HFO correction, then these functions can be performed, but autonomy is reduced
Solution Approach 1:
The patent applies preliminary action by performing channel identification and signal analysis before the radio receiver is activated for actual communication operations. The device uses stored signal samples and DFT processing to pre-determine channel characteristics and power spectral density, enabling the radio receiver to be turned off during these preparatory stages and thus extending autonomy while maintaining the ability to perform multiple communication modes when needed.
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 enhances the precision and speed of channel selection and synchronization processes, reducing energy consumption and extending mobile phone autonomy by allowing the radio receiver to be turned off during channel identification, while also facilitating the use of multiple communication modes.
Implementation Method 1
performing a first Discrete Fourier Transform (DFT) processing on said stored samples
Data Source
AI summary
Method for identifying within an incident signal at least one frequency communication channel, the incident signal being received on a wireless apparatus, comprising determining a power spectral density (PSD) of that incident signal and identifying the at least one channel from the PSD. The PSD determination comprises storing temporal samples of the incident signal received during a predetermined duration and performing a first Discrete Fourier Transform (DFT) processing on the stored samples.