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: The subject matter disclosed herein relates to systems, methods, apparatuses, articles, etc. for mobile device locating in conjunction with localized environments. For certain example implementations, a method may comprise obtaining at a mobile device one or more signals comprising information indicative of a location thereof. The information may be transmitted to one or more servers. A location context identifier (LCI) may be received responsive to the transmitting, with the LCI corresponding to a localized environment at which the mobile device is located. The LCI may be transmitted to the one or more servers. Location-based data may be received responsive to the transmitting of the LCI, with the location-based data being associated with the LCI and pertaining to the localized environment. The location of the mobile device may be determined with respect to the localized environment based, at least in part, on the location-based data. Other example implementations are described herein.

Abstract: Examples disclosed herein may relate to filtering one or more signal attributes from a given transmitter from use in mobile station position estimation operations based at least in part on variations in signal strength indicators for one or more wireless communications between the transmitter and a plurality of devices.

Abstract: A selected rate is received for an apparatus based on a hypothesized signal-to-noise-and-interference ratio (SINR) for the apparatus, and characterized statistics of noise and interference observed at a receiver for the apparatus. Data are processed in accordance with the rate selected for the apparatus.

Abstract: Certain embodiments of the present disclosure provide techniques for determining and communicating the location of a mobile station within a wireless communication system.

Abstract: Methods and apparatuses are disclosed that utilize the discrete Fourier transform of time domain responses to generate beamforming weights for wireless communication. In addition, in some embodiments frequency subcarriers constituting less than all of the frequency subcarriers allocated for communication to a user may utilized for generating the beamforming weights.

Abstract: Transmission patterns for pilot symbols transmitted from a mobile station or base station are provided. The patterns may be selected according to a location of the mobile station with respect to one or more antennas are provided. In some aspects, the pattern may be selected based upon the distance between the mobile station and the one or more antennas. In other aspect, the pattern may be based upon whether the mobile station is in handoff.

Abstract: To select a rate for a transmitter in a communication system, a receiver obtains a channel response estimate and a received SINR estimate for the transmitter, e.g., based on a pilot received from the transmitter. The receiver computes a hypothesized SINR for the transmitter based on the channel response estimate and the received SINR estimate. The receiver then selects a rate for the transmitter based on (1) the hypothesized SINR and (2) characterized statistics of noise and interference at the receiver for the transmitter, which may be given by a probability density function (PDF) of SINR loss with respect to the hypothesized SINR. A look-up table of rate versus hypothesized SINR may be generated a priori for the PDF of SINR loss. The receiver may then apply the hypothesized SINR for the transmitter to the look-up table, which then provides the rate for the transmitter.

Abstract: Transmission patterns for pilot symbols transmitted from a mobile station or base station are provided. The patterns may be selected according to a location of the mobile station with respect to one or more antennas are provided. In some aspects, the pattern may be selected based upon the distance between the mobile station and the one or more antennas. In other aspect, the pattern may be based upon whether the mobile station is in handoff.

Abstract: Apparatuses and methods for detecting falsified wireless access points are presented. A method includes identifying a target wireless access point for validation and measuring a round trip time delay to the wireless access point. The method also includes determining an expected processing delay of the wireless access point, analyzing the measured round trip time delay and the expected processing delay, and validating the wireless access point based upon the analysis. An apparatus includes a wireless transceiver, a processing unit coupled to the wireless transceiver, and a memory coupled to the processing unit. The processing unit is configured to identify a target wireless access point for validation, measure a round trip time delay to the wireless access point, determine an expected processing delay of the wireless access point, analyze the measured round trip time delay and the expected processing delay, and validate the wireless access point based upon the analysis.

Abstract: The subject matter disclosed herein relates to a system and method for retrieving a local map for a given area. One or more signals wirelessly transmitted from one or more wireless network elements may be received by a mobile device. The mobile device may identify an associated local map based at least in part on the received one or more signals. The associated local map and annotations associated with the associated local map may subsequently be obtained. The associated local map utilizes a predefined coordinate system.

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: One method for wirelessly determining a position of a mobile station includes measuring a round trip time (RTT) to a plurality of wireless access points, estimating a first distance to each wireless access point based upon the round trip time delay and an initial processing time associated with each wireless access point, estimating a second distance to each wireless access point based upon supplemental information, combining the first and second distance estimates to each wireless access point, and calculating the position based upon the combined distance estimates. Another method includes measuring a distance to each wireless access point 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, and determining whether the wireless signal model has converged.

Abstract: Apparatus and methods are directed to calibrating a delay within a wireless access point for determining a position of a mobile station. One method includes receiving an initial packet at an eavesdropping device, receiving a response packet, sent by another entity, at the eavesdropping device, computing a time difference based upon the packet arrival times, and providing the time difference to a position determination entity. Another method includes providing a request to appropriate eavesdropping devices to send information, receiving, from each appropriate eavesdropping device, a time difference which represents a difference in a time of arrival of a packet transmitted by the wireless access point and a time of arrival of a packet transmitted by the mobile station, determining a processing delay estimate based upon the time differences, and determining a position of the mobile station based upon the processing delay estimate and the received time differences.

Abstract: Apparatuses and methods for sector-based position determination of a mobile station are presented. One method includes determining an estimate of a distance between the mobile station and at least one wireless access point (WAP), receiving sector information which describes sectors associated with the at least one WAP, and combining the distance estimate and sector information to determine a position of the mobile station. One apparatus includes a wireless transceiver, a processor coupled to the wireless transceiver, and a memory coupled to the processor which stores executable instructions and data. The instructions cause the processor to determine an estimate of a distance between the mobile station and at least one wireless access point (WAP), receive sector information which describes sectors associated with the at least one WAP, and combine the distance estimate and sector information to determine a position of the mobile station.

Abstract: Apparatuses and methods for adjusting wireless-derived positions of a mobile station using a motion sensor are presented. One method includes estimating a position of a mobile station based upon wireless signal measurements and measuring a movement of the mobile station using a relative motion sensor. The method further includes detecting a displacement of the mobile station based upon the measured movement, determining that the displacement is below a threshold and then adjusting the estimated position of the mobile station using information from the relative motion sensor. An apparatus includes a wireless transceiver, a relative motion sensor, a processor coupled to the wireless transceiver and the relative motion sensor, and a memory coupled to the processor. The memory stores executable instructions and data for causing the processor to execute methods for adjusting wireless-derived positions using a motion sensor.

Abstract: The subject matter disclosed herein relates to a system and method for wirelessly receiving a first communication from a first mobile device. A processing delay may be measured. An acknowledgement communication indicating receipt of the first communication may be generated. A measurement of the processing delay may be broadcast in a broadcast packet, for example, or by transmitting a subsequent communication including the processing delay in response to receiving a second communication having a request for the measurement of the processing delay.

Abstract: Transmitters, receivers, and methods for providing improved transmit diversity orthogonal frequency division multiplexed communication systems is provided.

Abstract: Certain embodiments of the present disclosure allow for detection of a transmitted preamble sequence by processing a correlation of a received signal and a preamble hypothesis in a way that exploits the good correlation properties of the known set of preamble sequences. For certain embodiments, the highest peaks of the correlation output may be compared across all preamble hypotheses to decide which preamble sequence is transmitted.

Abstract: For certain embodiments, a preamble sequence associated with a particular number of transmit antennas may allow a receiving mobile station to determine the number of transmit antennas used for transmission. The preamble sequence may be selected from one of a set of Constant Amplitude and Zero Auto Correlation (CAZAC) sequences corresponding to all of the supported number of transmit antennas. As a result, a receiving station may be able to determine the sequence sent by correlation and, thereby determine the number of antennas used for transmission. Given the number of transmit antennas, the mobile station may then perform MIMO channel estimation during initial synchronization to recover the channel taps between each transmit and each receive antenna.