Abstract: Methods and apparatus for executing a client-based, over-the-top (OTT) application, the client-based OTT application for maintaining communications with a second communication device, comprising, in one embodiment, a first transceiver for transmitting and receiving user traffic, a memory for storing processor-executable instructions, and a processor, coupled to the transceiver and the memory, for executing the processor-executable instructions that cause the wireless communication device to establish a first control plane connection, establish a second control plane connection, establish a first data plane for transporting the user traffic, the first data plane connection relating to the first control plane connection, establish a second data plane connection for transporting the user traffic if at least one predetermined event has occurred, the second data plane connection related to the second control plane connection, and to transmit and receive the user traffic over the second data plane connection via th

Abstract: Embodiments respond to a position inference request from a computing device to determine a location of a computing device. The position inference request received from the computing device identifies a set of beacons observed by the computing device. A geographic area is estimated in which the computing device is located using the set of beacons. At least one location method is selected to identify a location of the computing device within the geographic area. In some cases two or more location methods may be employed and their results combined using, for example, a weighting function. The location of the computing device is determined within the geographic area using the set of beacons and the selected location method(s). The location that is determined is communicated to the computing device.

Abstract: Inferring location of a mobile computing device in an indoor environment and crowdsourcing radio frequency data are described herein. A location of the mobile computing device in the indoor environment is inferred based upon known physical constraints of the indoor environment and data from an inertial sensor of the mobile computing device, wherein an initial location in the indoor environment of the mobile computing device is unknown, a heading offset of the mobile computing device is arbitrary, and wherein a placement of the mobile computing device on a user is arbitrary.

Abstract: Methods and apparatus for executing a client-based, over-the-top (OTT) application, the client-based OTT application for maintaining communications with a second communication device, comprising, in one embodiment, a first transceiver for transmitting and receiving user traffic, a memory for storing processor-executable instructions, and a processor, coupled to the transceiver and the memory, for executing the processor-executable instructions that cause the wireless communication device to establish a first control plane connection, establish a second control plane connection, establish a first data plane for transporting the user traffic, the first data plane connection relating to the first control plane connection, establish a second data plane connection for transporting the user traffic if at least one predetermined event has occurred, the second data plane connection related to the second control plane connection, and to transmit and receive the user traffic over the second data plane connection via th

Abstract: Inferring location of a mobile computing device in an indoor environment and crowdsourcing radio frequency data are described herein. A location of the mobile computing device in the indoor environment is inferred based upon known physical constraints of the indoor environment and data from an inertial sensor of the mobile computing device, wherein an initial location in the indoor environment of the mobile computing device is unknown, a heading offset of the mobile computing device is arbitrary, and wherein a placement of the mobile computing device on a user is arbitrary.

Abstract: Embodiments respond to a position inference request from a computing device to determine a location of a computing device. The position inference request received from the computing device identifies a set of beacons observed by the computing device. A geographic area is estimated in which the computing device is located using the set of beacons. At least one location method is selected to identify a location of the computing device within the geographic area. In some cases two or more location methods may he employed and their results combined using, for example, a weighting function. The location of the computing device is determined within the geographic area using the set of beacons and the selected location method(s). The location that is determined is communicated to the computing device.

Abstract: Embodiments provide a position service experimentation system to enable comparison of modeling and inference methods as well as characterization of input datasets for correspondence to output analytics. Crowd-sourced positioned observations are divided into a training dataset and a test dataset. A beacons model is generated based on the training dataset, while device position estimations are calculated for the test dataset based on the beacons model. The device position estimations are compared to the known position of the computing devices generating the positioned observations to produce accuracy values. The accuracy values are assigned to particular geographic areas based on the position of the observing computing device and aggregated to enable a systematic analysis of the accuracy values based on geographic area and/or positioned observations characteristics.