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: 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: 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: 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: A computer-implemented method includes receiving a computer-implemented model adapted to process past online behavior of a user identifier of a networked computing device and determine an online activity type associated with the user identifier based on the past online behavior of the user identifier. The method also includes receiving data representing past online behavior of the user identifier of the networked computing device. The method also includes processing the model and the data representing past online behavior of the user identifier of the network computing device to determine an online activity type associated with the user identifier. The method also includes and providing information about the online activity type to a content selection server to facilitate selection of content to be presented to the user identifier.

Abstract: A computer-implemented method includes receiving a computer-implemented model to process parameters of a content delivery campaign and a bid price for delivery of content in content delivery slots. The price to be paid is based on a losing bid. Processing the parameters and bid price determines an estimated price to be paid for the delivery of content and a metric describing an estimated result of the content delivery campaign. The method also includes receiving parameters of the content delivery campaign and the price to be bid for delivery of content. The method also includes processing the model and the price to be bid to determine the estimated price to be paid and the metric describing the estimated result of the content delivery campaign. The method also includes providing information about the estimated price and the estimated result to a content provider to facilitate selection of a final bid price.

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: Methods and apparatuses are directed to calibrating a misconfigured wireless access point. One method may include receiving a position of mobile station(s) and wireless signal model measurements derived from packets exchanged between the mobile station(s) and a plurality of wireless access points, receiving positions and/or identities of the plurality of wireless access points used in determining the position of the mobile station(s), comparing a position of the mobile station(s) with wireless signal model measurements, and identifying a misconfigured wireless access point based upon the comparing. Another method may include receiving positions associated with a plurality of wireless access points, determining a position of a mobile station based upon a wireless signal model, comparing the position of the mobile station and the wireless signal model with the positions associated with the plurality of wireless access points, and determining whether at least one wireless access point is misconfigured.

Abstract: Methods and apparatus for determining the quality of service of a network are disclosed. A disclosed methodology for determining quality of service for a network includes determining at least two metrics reflective of network parameters in at least two different protocol layers of the communication network. The metrics are then compared with respective threshold values, and quality of service for the network is determined based on the comparison of the metrics with the respective threshold values. Corresponding apparatus executing the methodology are also disclosed.

Abstract: An example method for updating a wireless signal model includes: measuring a distance from a mobile station to each wireless access point, of multiple wireless access points, based upon a wireless signal model; calculating a position of the mobile station based upon the measured distance; determining a computed distance to each wireless access point based upon the calculated position of the mobile station; updating the wireless signal model based upon the measured and computed distances to each wireless access point; and determining whether the wireless signal model has converged.

Abstract: Certain embodiments provide a method for scheduling simultaneous transmissions of data from multiple wireless nodes in a wireless communications system.

Abstract: Methods, computer-readable media, and systems for modifying redistribution sets of users based on expiration time. A redistribution set including multiple present users to whom selected content is presentable for a pre-defined duration is received. Multiple past users who were included in the redistribution set have previously been removed from the redistribution set based on an expiration of the pre-defined duration. In response to detecting a modification to the pre-defined duration, the redistribution set of users is modified to include one or more past users or to exclude one or more present users. The redistribution set thus modified is used to target content to users in the modified redistribution set.

Abstract: Certain embodiments provide a method for scheduling packet transmissions in a wireless communications with stations that support spatial division multiple access (SDMA) transmissions. The method generally includes receiving channel state training signals from a plurality of wireless network nodes, constructing a schedule for uplink and downlink packet transmissions for the nodes based on the channel state training signals, and communicating the schedule to the nodes.

Abstract: The subject matter disclosed herein relates to a system and method for receiving, by a first mobile station, a signal transmitted from a second mobile station and addressed to a communication device (e.g., a communication device having a known location). The signal comprises a location estimate for the second mobile station. A range from the first mobile station to the second mobile station is estimated based at least in part on a measured signal strength of the received signal.

Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses to allow for expected signal data for a region of space within a structure to be encoded and transmitted to a mobile station. The mobile station may decode the encoded version and use the resulting decoded version to support signal-based position estimation.

Abstract: Certain aspects of the present disclosure provide a heuristic algorithm for calculating accurate target SINR values for the minimum mean square error (MMSE) beamforming algorithm to decrease the complexity of the MMSE algorithm. The heuristic algorithm for calculating target SINR values considers practical system constraints, such as frequency selective channels, power amplifier distortion, imperfect channel state information as well as limited computing power at the access point.

Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses to allow for location related information for a region of space within a structure to be divided into blocks and selectively provided in an efficient manner to a mobile station and/or a proxy device associated therewith. The mobile station may, for example, use the blocks of location related information to support signal-based position estimation and/or other like location based services.

Abstract: The subject matter disclosed herein may relate to methods, apparatuses, systems, devices, articles, or means for facilitating mobile device positioning. For certain example implementations, a method for a mobile device may comprise identifying an uncertainty of at least one estimate of a location of the mobile device. Signals to acquire that are transmitted from multiple transmitters for use in at least reducing the uncertainty of the at least one estimate of the location of the mobile device may be prioritized based, at least in part, on one or more characteristics associated with the multiple transmitters and at least one constraint on the at least one estimate of the location of the mobile device in accordance with a navigational path of the mobile device. Other example implementations are described herein.

Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses to allow for expected signal data for a region of space within a structure to be encoded and transmitted to a mobile station. The mobile station may decode the encoded version and use the resulting decoded version to support signal-based position estimation.

Abstract: A time-of-propagation distance-determining method involves sending a probe request from a handset to an AP and receiving a return ACK. The time it takes for the probe request to propagate to the AP, the turnaround time, and the time it takes the ACK to propagate back to the handset is measured on the handset. The turnaround time is subtracted from the measured time, and the result is used to make a distance determination. In order to reduce power consumption, the “lowest overall transmit energy” setting that will give acceptable reception of a probe request sent by the handset to the AP station is determined. The lowest overall transmit energy setting involves a bit rate setting and a transmit power setting. The lowest overall transmit energy setting is used to send probe requests when probe requests are sent from the handset in carrying out a time-of-propagation distance-determining transaction.