Abstract: Methods and systems for classifying mobile device behavior include configuring a server use a large corpus of mobile device behaviors to generate a full classifier model that includes a finite state machine suitable for conversion into boosted decision stumps and/or which describes all or many of the features relevant to determining whether a mobile device behavior is benign or contributing to the mobile device's degradation over time. A mobile device may receive the full classifier model and use the model to generate a full set of boosted decision stumps from which a more focused or lean classifier model is generated by culling the full set to a subset suitable for efficiently determining whether mobile device behavior are benign. Boosted decision stumps may be culled by selecting all boosted decision stumps that depend upon a limited set of test conditions.

Abstract: Described are devices, methods, techniques and systems for locating a portable services access transceiver (PSAT) for use in aiding emergency “911” services. In one implementation, one or more conditions indicative of movement of a PSAT may initiate a process for obtaining a new estimated location of the PSAT. In another implementation, a location of a PSAT may be determined or updated using indoor navigation techniques.

Abstract: Systems, apparatus and methods for determining a cyclic shift delay (CSD) mode from a plurality of CSD modes is disclosed. A received OFDM signal is converted to a channel impulse response (CIR) signal in the time domain and/or a channel frequency response (CFR) signal in the frequency domain. Matched filters and a comparator are used to determine a most likely current CSD mode. Alternatively, a classifier is used with a number of inputs including outputs from two or more matched filters and one or more outputs from a feature extractor. The feature extractor extracts features in the time domain from the CIR signal and/or in the frequency domain from the CFR signal useful in distinguishing various CSD modes.

Abstract: The subject matter disclosed herein relates to systems, methods, apparatuses, devices, articles, and means for updating radio models. For certain example implementations, a method for one or more server devices may comprise receiving at one or more communication interfaces at least one measurement that corresponds to a position of a first mobile device within an indoor environment. At least one radio model that is stored in one or more memories may be updated based, at least in part, on the at least one measurement to produce at least one updated radio model. The at least one radio model and the at least one updated radio model may correspond to the indoor environment. The at least one updated radio model may be transmitted to enable a second mobile device to use the at least one updated radio model for positioning within the indoor environment. Other example implementations are described herein.

Abstract: The subject matter disclosed herein relates to systems, methods, apparatuses, devices, articles, and means for updating radio models. For certain example implementations, a method for one or more server devices may comprise receiving at one or more communication interfaces at least one measurement that corresponds to a position of a first mobile device within an indoor environment. At least one radio model that is stored in one or more memories may be updated based, at least in part, on the at least one measurement to produce at least one updated radio model. The at least one radio model and the at least one updated radio model may correspond to the indoor environment. The at least one updated radio model may be transmitted to enable a second mobile device to use the at least one updated radio model for positioning within the indoor environment. Other example implementations are described herein.

Abstract: Methods, devices and systems for detecting suspicious or performance-degrading mobile device behaviors intelligently, dynamically, and/or adaptively determine computing device behaviors that are to be observed, the number of behaviors that are to be observed, and the level of detail or granularity at which the mobile device behaviors are to be observed. The various aspects efficiently identify suspicious or performance-degrading mobile device behaviors without requiring an excessive amount of processing, memory, or energy resources.

Abstract: Disclosed are methods and apparatuses for communications by which a data packet is generated for transmission to a node, or by which a data packet is received from a node, the data packet including a header and data, wherein a channel designation for a node to send an acknowledgement to an apparatus or a transmitting node is embedded in the header of the data packet.

Abstract: Techniques are provided for adaptively sampling orientation sensors in positioning systems based on location (e.g., map) data. Embodiments can enable a device to use location, direction, and/or location information to anticipate an expected change in motion. The embodiments can then identify and prioritize a number of sampling strategies to alter sampling rates of orientation sensors, and implement at least one strategy, based on priority.

Abstract: Various methods, apparatuses and/or articles of manufacture are provided for use in one or more electronic devices to perform and/or otherwise support certain positioning capabilities with regard to a mobile device. For example, certain positioning capabilities may make use of one or more portal transition parameters that may be based, at least in part, on a determined likelihood that a mobile device, if located in a first region of a specific environment and within a threshold area of a portal connecting the first region to a second region of the specific environment, may or may not make use of the portal to transition from the first region to the second region, e.g., through the portal.

Abstract: Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized to facilitate or otherwise support one or more processes or operations in connection with binning venues into categories based, at least in part, on signal propagation characteristics associated with such venues.

Abstract: Techniques for provided which may be implemented using various methods and/or apparatuses to allow a mobile device to identify and select certain wireless transmitting devices for use in estimating a location of the mobile device. For example with one method, a mobile device may identify a plurality of wireless transmitting devices from which measurements are obtainable to estimate a location of the mobile device, and select a set of wireless transmitting devices based, at least in part, on a location reliability indicator.

Abstract: The subject matter disclosed herein may relate to methods, apparatuses, systems, devices, articles, or means for conditionally performing a scan responsive to a likelihood of a portal transition, etc. For certain example implementations, a method for a mobile device may comprise determining an indication of a likelihood that a position of the mobile device is transitioning from a first area identifiable by a first location context identifier to a second area identifiable by a second location context identifier via a portal linking the first area and the second area; and conditionally performing a scan for signals transmitted by one or more transmitter devices corresponding to the second area responsive to the indication of the likelihood that the position of the mobile device is transitioning to the second area via the portal. Other example implementations are described herein.

Abstract: Example methods, apparatuses, or articles of manufacture are disclosed herein that may be utilized to facilitate or otherwise support one or more processes or operations in connection with defining and determining a plurality of venue types and binning a plurality of venues into categories based, at least in part, on signal propagation characteristics associated with such venues.

Abstract: Systems, apparatus and methods for determining a cyclic shift diversity (CSD) mode are presented. Examples communicate the CSD mode in a signaling message. Specifically, a CSD mode is set in an access point the sent to a mobile device. The signaling messages may be either a point-to-point message or a broadcast message. The access point or location server may set the current CSD mode from a plurality of mobile devices by crowd sourcing. For example, the plurality of mobile devices may report what CSD mode was detected. Alternative, the plurality of mobile devices may send a channel impulse response (CIR), or the like, to a location server and the location server may determine what CSD mode is currently used by the access point.

Abstract: Disclosed is a method for position determination, including altering or generating at least one radio heatmap value in a collection of radio heatmap values, the altering or generating based, at least in part, on a measurement of one or more characteristics of wireless signals received by a receiver at a first wireless network access point and transmitted by a transmitter at a second wireless network access point; and transmitting at least a portion of the collection of radio heatmap values including the altered or generated radio heatmap value to a mobile station as positioning assistance information.

Abstract: Methods, devices and systems for detecting suspicious or performance-degrading mobile device behaviors intelligently, dynamically, and/or adaptively determine computing device behaviors that are to be observed, the number of behaviors that are to be observed, and the level of detail or granularity at which the mobile device behaviors are to be observed. The various aspects efficiently identify suspicious or performance-degrading mobile device behaviors without requiring an excessive amount of processing, memory, or energy resources.

Abstract: An apparatus and method for communications are disclosed. The apparatus may include a transceiver, and a processing system configured to dynamically allocate a plurality of channels to one or more nodes prior to a data transmission from the transceiver to the one or more nodes.

Abstract: A method of disambiguating a location of a mobile station within a structure includes: obtaining, at the mobile station, regional pressure indications and corresponding region indications indicating regions within a structure that are vertically displaced with respect to each other, each of the regional pressure indications indicating atmospheric pressure information associated with the corresponding region; determining mobile station pressure information associated with a present location of the mobile station; comparing the mobile station pressure information with the regional pressure indications; and based on the comparing, determining in which of the regions the mobile station presently resides.

Abstract: A displacement device for mapping wireless signal fingerprints includes motion sensors and at least one of a received signal strength indicator (RSSI) sensor and a round trip time (RTT) sensor. The motion sensors may include a pedometer and one or more sensors to receive turn information. The start position of the displacement device is initialized and as the displacement device is moved through an environment, the position of each measurement location is determined using the initialized position and data from the motion sensors. The measurement position along with the RSSI and/or RTT measurement is stored in a database, from which a map can be generated. The position of the access point may be determined using the RSSI measurement or RTT measurement. Additionally, accumulated errors in the measurement position may be monitored and when greater than a threshold, a user may be prompted to reinitialize the position of the displacement device.

Abstract: In one implementation, a method may comprise: obtaining a digital map of an indoor region that identifies boundaries between subsections within the indoor region; and approximating locations of walls separating rooms within at least one of the subsections based, at least in part, on locations of feature labels provided in the digital map.