THREE-DIMENSIONAL NETWORK COVERAGE MODELING FOR UAVS
First Claim
1. A system, comprising:
- one or more processors; and
memory having instructions stored therein, the instructions, when executed by the one or more processors, cause the one or more processors to perform acts comprising;
receiving network configuration data for multiple base stations of a wireless communication network that are located in an area;
receiving environmental data that includes information on natural and manmade features in the area;
segregating an airspace above the area into a plurality of vertically layered 3-dimensional sections; and
generating a coverage model based at least on the network configuration data and the environmental data, the coverage model for predicting network coverage of the wireless communication network in the 3-dimensional sections in the airspace above the area.
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Accused Products
Abstract
A coverage model is generated to forecast network coverage robustness for vertically layered 3-dimensional sections of airspace above an area. Network configuration data for multiple base stations of a wireless communication network located in an area are received. Environmental data that includes information on natural and manmade features in the area are received. The airspace above the area into a plurality of vertically layered 3-dimensional sections is segregated. A coverage model is generated based at least on the network configuration data and the environmental data for predicting network coverage of the wireless communication network in the 3-dimensional sections in the airspace above the area.
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Citations
20 Claims
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1. A system, comprising:
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one or more processors; and memory having instructions stored therein, the instructions, when executed by the one or more processors, cause the one or more processors to perform acts comprising; receiving network configuration data for multiple base stations of a wireless communication network that are located in an area; receiving environmental data that includes information on natural and manmade features in the area; segregating an airspace above the area into a plurality of vertically layered 3-dimensional sections; and generating a coverage model based at least on the network configuration data and the environmental data, the coverage model for predicting network coverage of the wireless communication network in the 3-dimensional sections in the airspace above the area. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. One or more non-transitory computer-readable media storing computer-executable instructions that upon execution cause one or more processors to perform acts comprising:
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receiving network configuration data for multiple base stations of a wireless communication network that are located in an area; receiving environmental data that includes information on natural and manmade features in the area; segregating an airspace above the area into a plurality of vertically layered 3-dimensional sections, wherein vertical heights of the plurality of vertically layered 3-dimensional sections being established based on multiple factors that affect radio signal propagation in the area, the multiple factors including at least one of distribution of manmade structures in an area, atmospheric conditions in the area, or natural terrain features in the area; and generating a coverage model based at least on the network configuration data, the environmental data, the coverage model for predicting network coverage of the wireless communication network in the 3-dimensional sections in the airspace above the area. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A computer-implemented method, comprising:
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receiving, at one or more computing devices, network configuration data for multiple base stations of a wireless communication network that are located in an area, the network configuration data including one or more of site location, antenna height, antenna type, antenna orientation, antenna down tilt angle, radio frequency (RF) band, RF power output, or data transmission rate for the multiple base stations; receiving, at the one or more computing devices, environmental data that includes information on one or more of natural obstacles, manmade structures, terrain contours, or vegetation/biomass distribution; segregating, at the one or more computing devices, an airspace above the area into a plurality of vertically layered 3-dimensional sections, wherein vertical heights of the plurality of vertically layered 3-dimensional sections being established based on multiple factors that affect radio signal propagation in the area, the multiple factors including at least one of distribution of manmade structures in an area, atmospheric conditions in the area, or natural terrain features in the area; applying, at the one or more computing devices, a machine learning algorithm to training data that includes the network configuration data, the environmental data, boundary locations of the plurality of vertically layered 3-dimensional sections, and measured signal robustness values at various locations in the airspace of the area to generate a coverage model, the coverage model for predicting network coverage of the wireless communication network in the 3-dimensional sections in the airspace above the area; receiving, at the one or more computing devices, a request for a predicted signal robustness value that measures network coverage in a particular location within a specific 3-dimensional section above the area from a device, the particular location being defined by a longitude value, a latitude value, and an altitude value; computing, at the one or more computing devices, the predicted network signal robustness value for the particular location using the coverage model; and sending, at the one or more computing devices, the predicted network signal robustness value to the device that initiated the request. - View Dependent Claims (19, 20)
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Specification