Frequency Band Selection Using Location Signal Database
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Solution Overview
Problem
Existing wireless communication systems face challenges in selecting the optimal frequency band for wireless devices based on location-specific signal quality, leading to suboptimal performance and potential switching between frequency bands to maintain adequate signal quality.
Innovation Solution
A communication system that constructs a database of signal quality indicators associated with locations and frequency bands, allowing it to select the frequency band with the best signal quality for wireless devices and switch if necessary, using inactive devices to report and calibrate signal quality across multiple channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If wireless devices use a fixed frequency band, then device complexity is reduced, but signal quality deteriorates due to location-specific interference and propagation conditions
Solution Approach 1:
The system performs preliminary measurements of signal quality indicators across multiple frequency bands at different locations before actual communication begins. These measurements are stored in a database so that when a device needs to communicate, the optimal frequency band can be quickly selected based on pre-collected data about the location's characteristics, avoiding real-time complexity while ensuring quality
Solution Approach 2:
A database acts as an intermediary between the wireless devices and the frequency band selection process. The database stores pre-measured signal quality indicators for multiple frequency bands at various locations, allowing devices to query optimal bands without performing complex real-time measurements, thus reducing device complexity while maintaining reliable signal quality through informed selection
2Reliability
If the system switches frequency bands dynamically, then signal quality is maintained, but loss of time increases due to switching overhead and measurements
Solution Approach 1:
Signal quality indicators for multiple frequency bands are measured and stored in advance at various locations. When a device needs to switch bands, the system queries the pre-stored data to quickly determine the optimal band without performing time-consuming real-time measurements, thus maintaining signal quality while minimizing switching time
Solution Approach 2:
The system dynamically selects frequency bands based on location-specific stored data rather than using fixed assignments. This dynamic adaptation allows the system to respond to changing signal conditions by selecting optimal bands from pre-characterized options, balancing the need for quality maintenance with reduced switching overhead compared to exhaustive real-time scanning
3Adaptability or versatility
If multiple frequency bands are measured and stored, then adaptability improves for location-specific optimization, but device complexity increases due to database construction and management
Solution Approach 1:
The system divides the frequency spectrum into multiple discrete bands and measures signal quality indicators for each band separately at various locations. This segmentation allows the database to store organized, location-specific data for each frequency band, making it easier to manage and query the appropriate band for a given location without overwhelming complexity
Solution Approach 2:
The system performs self-calibration by automatically measuring signal quality indicators across multiple frequency bands at different locations and populating the database without requiring manual intervention. This self-service approach to database construction reduces operational complexity while enabling sophisticated location-specific frequency band selection capabilities
Data Source
AI summary
A method of operating a communication system is disclosed. A location associated with a first wireless device is received. For a first frequency band, a first stored signal quality indicator associated with the location is received. For a second frequency band, a second stored signal quality indicator associated with the location is received. Based on the first stored signal quality indicator and the second stored signal quality indicator, the first frequency band is selected.


