USING GEOGRAPHICAL FEATURES TO REDUCE IN-FIELD PROPAGATION EXPERIMENTATION
First Claim
1. An apparatus for determining cell coverage in a region with reduced in-field propagation measurements comprising:
- a cell phone or equivalent device comprising a code segment that obtains wireless signal strength and the global positioning system coordinates;
a data base that comprises geographical features of the region; and
a processor that comprises a non-transitory computer readable medium, comprising instructions stored thereon, that when executed by a computer having a communications interface, one or more databases and one or more processors communicably coupled to the interface and one or more databases, perform the steps comprising;
predicting the number of measurements required to accurately characterize path loss in the region;
oversampling a suburban and a downtown region from cell measurements that comprise signal strength and global positioning system coordinates to determine the path loss prediction accuracy of wardriving and crowdsourcing; and
using a statistical learning framework to build a relationship between these geographical features and the measurements, thereby reducing the number of measurements needed to determine path loss accuracy.
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Abstract
The present invention includes an apparatus and method for determining cell coverage in a region with reduced in-field propagation measurements comprising: obtaining geographical features of the region; predicting the number of measurements required to accurately characterize its path loss; determining the path loss prediction accuracy of wardriving and crowdsourcing by oversampling a suburban and a downtown region from cell measurements that comprise signal strength and global positioning system coordinates; and using statistical learning to build a relationship between these geographical features and the measurements required, thereby reducing the number of measurements needed to determine path loss accuracy.
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Citations
24 Claims
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1. An apparatus for determining cell coverage in a region with reduced in-field propagation measurements comprising:
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a cell phone or equivalent device comprising a code segment that obtains wireless signal strength and the global positioning system coordinates; a data base that comprises geographical features of the region; and a processor that comprises a non-transitory computer readable medium, comprising instructions stored thereon, that when executed by a computer having a communications interface, one or more databases and one or more processors communicably coupled to the interface and one or more databases, perform the steps comprising; predicting the number of measurements required to accurately characterize path loss in the region; oversampling a suburban and a downtown region from cell measurements that comprise signal strength and global positioning system coordinates to determine the path loss prediction accuracy of wardriving and crowdsourcing; and using a statistical learning framework to build a relationship between these geographical features and the measurements, thereby reducing the number of measurements needed to determine path loss accuracy. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method to determine cell coverage in a region with reduced in-field propagation measurements comprising:
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obtaining geographical features of the region; predicting the number of measurements required to accurately characterize its path loss; determining the path loss prediction accuracy of wardriving and crowdsourcing by oversampling a suburban and a downtown region from cell measurements that comprise signal strength and global positioning system coordinates; and using a statistical learning framework to build a relationship between these geographical features and the measurements required, thereby reducing the number of measurements needed to determine path loss accuracy. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
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23. A computerized method for determining cell coverage in a region with reduced in-field propagation measurements, the method comprising:
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obtaining geographical features of the region; predicting the number of measurements required to accurately characterize its path loss using a processor; determining the path loss prediction accuracy of wardriving and crowdsourcing by oversampling a suburban and a downtown region from cell measurements that comprise signal strength and global positioning system coordinates with the processor; and using statistical learning to build a relationship between these geographical features and the measurements required, thereby reducing the number of measurements needed to determine path loss accuracy.
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24. A non-transitory computer readable medium for determining cell coverage in a region with reduced in-field propagation measurements, comprising instructions stored thereon, that when executed by a computer having a communications interface, one or more databases and one or more processors communicably coupled to the interface and one or more databases, perform the steps comprising:
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obtaining geographical features of the region; predicting the number of measurements required to accurately characterize its path loss using a processor; determining the path loss prediction accuracy of wardriving and crowdsourcing by oversampling a suburban and a downtown region from cell measurements that comprise signal strength and global positioning system coordinates with the processor; and using statistical learning to build a relationship between these geographical features and the measurements required, thereby reducing the number of measurements needed to determine path loss accuracy; and at least one of storing or displaying the results obtained thereby.
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Specification