Abstract:
Determining a location of a user device comprises a wireless system supported by wireless access points receiving signals from a user device. The wireless system estimates a location of the user device based on a coarse calculation based on an angle of arrival of the received signal and determines if the user device is in an area under a access point. If so, the wireless system performs a fine location calculation. The wireless system identifies received signal strength indicator values for the user device and uses the values and the calculated location of the user device to improve calibration of a received signal strength location model. If the system determines that the user is not in the area under the access point, the wireless system combines the coarse calculation location and a received signal strength determined location and estimates a location based on the combined calculations.
Abstract:
In an example embodiment, there is disclosed herein, an apparatus comprising an interface and location determination logic coupled with the interface. The location determination logic receives data representative of measured signal strengths for a wireless device from a plurality of receiving devices at known locations via the interface. The location determination logic determines an estimated location based on the measured signal strengths and a first transmit power for the wireless device. The location determination logic determines a revised transmit power for the wireless device based on the measured signal strengths from the plurality of devices at known locations and the estimated location. The location determination logic determines a revised estimated location based on the measured signal strengths and the revised transmit power for the wireless device.
Abstract:
Determining a location of a user device comprises a wireless computing system supported by an access point. The wireless computing system receives a signal from the user device. The system estimates a location of the user device based on RSSI and calculates a boundary around the estimated location. The wireless computing system selects a plurality of sections inside of the boundary and performs a coarse calculation of a location of the user device based on an angle of arrival of the received signal. The system determines sections of the plurality of sections that have results from the coarse calculation that are more likely to be a location of the user device. The system performs a fine calculation of the location based on the angle of arrival of the received signal within each of the sections. The system identifies a particular section as the location of the user device.
Abstract:
Techniques are presented to optimize location classification accuracy for wireless devices. A controller in communication with one or more wireless access points receives measurement data associated with signals received at one or more wireless access points from a plurality of wireless clients. The controller classifies each of the measurement data associated with a corresponding client as indicative a location inside of a particular region or outside of the particular region. The controller determines information of an actual location for each of the clients and classifies the information of the actual location as indicating a location inside of the particular region or outside of the particular region. For a given client whose classification of the information of the actual location does not match the classification of the corresponding measurement data, the controller modifies the information of the actual location of the given client.
Abstract:
Techniques are provided for determining, for at least one wireless access point in a wireless network, a number of first-time associations created with one or more wireless client devices in the wireless network. Based upon the determined number of first-time associations created, the number of discovery frames to be sent by the at least one wireless access point may be adjusted.
Abstract:
A plurality of time slots are allocated during which a location procedure is performed for one or more target wireless devices. Select ones of a plurality of wireless access points at different positions are assigned to each time slot such that multiple wireless access points assigned to a given time slot are sufficiently separated. In addition, wireless access points are assigned to a corresponding one of a plurality of groups for each time slot such that wireless access points assigned to a group tune to a channel used by a wireless access point in the group that transmits one or more frames that are intended to provoke one or more response frames from the one or more wireless devices.
Abstract:
Techniques are presented for detecting rogue wireless beacon devices. Wireless transmissions from beacon devices are received at a plurality of receiver devices. The wireless transmissions of the beacon devices comprise packets that carry information used for location-based services for mobile wireless devices. Content of one or more fields of the packets transmitted by the beacon devices and received by one or more of the receiver devices is obtained. The content of one or more fields of the packets is analyzed to detect an unauthorized beacon device. The analyzing operation may involve comparing the content of the one or more fields of the packets against a list that contains one or more identifiers for authorized beacon devices. In another form, analyzing may involve analyzing the content of the one or more fields of the packets with pattern information related to advertising content or advertising source.
Abstract:
Determining a location of a user device comprises a wireless computing system supported by an access point. The wireless computing system receives a signal from the user device. The system estimates a location of the user device based on RSSI and calculates a boundary around the estimated location. The wireless computing system selects a plurality of sections inside of the boundary and performs a coarse calculation of a location of the user device based on an angle of arrival of the received signal. The system determines sections of the plurality of sections that have results from the coarse calculation that are more likely to be a location of the user device. The system performs a fine calculation of the location based on the angle of arrival of the received signal within each of the sections. The system identifies a particular section as the location of the user device.
Abstract:
An example method is provided in one example embodiment and may include gathering current wireless local area network (WLAN) data for a WLAN, wherein the WLAN data comprises network data, Radio Frequency (RF) data, and transmission data for a plurality of user equipment (UE) operating within the WLAN; generating a plurality of color maps; merging the plurality of color maps to generate a combined color map; and calculating a predicted application score for at least one UE operating within the WLAN based, at least in part, on application of the combined color map to a trained statistical model that represents linking relationships between the WLAN data gathered for the WLAN and a plurality of possible application scores for the plurality of UE. The plurality of color maps can include an RF color map, a transmission color map, and a Quality of Service color map.
Abstract:
Determining a location of a user device comprises a wireless system supported by wireless access points receiving signals from a user device. The wireless system estimates a location of the user device based on a coarse calculation based on an angle of arrival of the received signal and determines if the user device is in an area under an access point. The wireless system identifies received signal strength indicator values for the user device and uses the values and the calculated location of the user device to improve calibration of a received signal strength location model. If the system determines that the user is not in the area under the access point, the wireless system combines the coarse calculation location, a received signal strength determined location, and a previous received signal strength determined location, and estimates a location based on the combined calculations.