Abstract: According to an example, a signal space based navigation apparatus may receive traces of wireless signal observations and corresponding pedestrian deadreckoning (PDR) traces between different ones of the wireless signal observations from a plurality of user devices. A plurality of wireless clusters may be generated based on the traces of wireless signal observations. A PDR displacement vector may be generated between two or more of the wireless clusters based on the two or more of the wireless clusters and a subset of the PDR traces corresponding to the two or more of the wireless clusters. A sensing map may be generated based on the plurality of wireless clusters and a plurality of PDR displacement vectors including the PDR displacement vector.

Abstract: Systems and methods for unsupervised indoor localization are provided. Sensor data obtained from a device carried by a user can be used to simultaneously estimate the indoor location of a user and identify landmarks within the indoor environment based on their signatures. The landmarks can be used to reset the location estimate of the user, and the location estimate of the user can be used to improve the learned location of the landmarks. This recursive process leads to excellent accuracy in indoor localization. Systems and methods for estimating the heading direction of a user are also provided. Sensor data obtained from the user can be used to analyze the forces acting on the user in order to give an accurate heading direction estimate.

Abstract: According to an example, mobility-aware frame aggregation may include using mobility information related to a transmitter and/or a receiver associated with transmission of data over a wireless channel to determine an aggregation size for frame aggregation of the data to be transmitted over the wireless channel. The mobility information may be based on subcarriers and antennas related to the wireless channel.

Abstract: Described herein are techniques for selecting a subset of access points, In an example, a wireless access point stores a plurality of unique keys, each unique key being associated with a respective device. The access point advertises a first service set identifier, the first service set identifier requiring authentication of a device requesting connection at a remotely located authentication server. The access point monitors a connection to the remotely located authentication server, and, in response to the connection going down, advertising a second service set identifier, the second service set identifier requiring authentication of a device requesting connection using the unique key associated with the device requesting connection.

Abstract: Described herein are techniques for determining a location of a disconnected device. In an example, a method includes instructing a first access point to sniff a wireless channel for probe request packets from disconnected devices, and instructing the first access point to send a distance-probing packet to a disconnected device after receiving a probe request packet from the disconnected device. The method further includes receiving, from the first access point, a MAC address of the disconnected device determined from the received probe request packet. After receiving the MAC address from the first access point, a group of access points is instructed to send distance-probing packets to the disconnected device. The method further includes receiving, from the first access point and the group of access points, time-of-flight measurements associated with the disconnected device. A location of the disconnected device can be determined using the time-of-flight measurements.

Abstract: A technique includes determining a consumption time for content received in a mobile device from a cellular network, where the consumption time represents a time at which the content is received in the mobile device to a time at which content associated with the received content is consumed at an output sink of the mobile device. The technique includes regulating a power consumption state of a cellular radio of the mobile device based at least in part on the consumption time.

Abstract: Described herein are techniques for determining a location of a device. In an example, a group of access points may be selected, Time-of-flight (ToF) measurements relative to the device may be received from each of the access points in the group. A respective distance of the device from each access point may be determined using the ToF measurements and a baseToF value. Location coordinates of the device and a new baseToF value may be determined based on the determined distances and the location coordinates of each access point in the group.

Abstract: A first energy of a signal received from a mobile device is computed at a device based on information available at a physical (PHY) layer of the mobile device. A second energy of the received signal is computed. A path-loss exponent of the received signal is computed based on a line-of-sight (LoS) factor (lfactor) of the signal. A distance of the mobile device to the device is computed based on the first energy, the second energy, and the path-loss exponent of the received signal.

Abstract: Described herein are techniques for selecting a subset of access points. In an example, time-of-flight information and signal strength information associated with a device may be received from multiple access points. A subset of the access points may be selected based on the time-of-flight information, signal strength information, and load information. The subset of access points may be instructed to respond to a probe request from the device.

Abstract: A signal transmitted from a mobile device is received at a device. A change in angle-of-arrival (AoA) of the signal is computed as the mobile device moves from a first location to a second location. A first distance and a second distance of the mobile from the device corresponding to the first and second locations, respectively are computed. A displacement of the mobile device from the first location to the second location is computed based on mobility information provided by a sensor of the mobile device. A change in an angle of direct path (ANDP) of the signal is computed based on the first distance, the second distance, and the displacement. The ANDP is determined based on a comparison of the change in AoA to the change in ANDP.

Abstract: According to an example, mobility may be determined between a mobile device and a wireless access point (AP).

Abstract: Described herein are techniques for performing a channel scan based on a mobility state of a device. The mobility state of a device relative to an access point may be determined using time-of-flight information. A channel scan may be performed based on the mobility state determination.

Abstract: A method of determining the location of a client device includes selecting sets of four access points (APs) from APs that can communicate with a client device. Each set of four APs forms a quadrilateral that contains the location of the client device. The method further includes selecting a first quadrilateral from quadrilaterals formed by the sets of four APs based on a policy, and, with the first quadrilateral, executing a time-of-flight (ToF)-based distance estimation process to determine the location of the client device.

Abstract: According to an example, motion-aware MCS adaptation may include determining whether a device is static relative to a wireless AP, moving towards the wireless AP, or moving away from the wireless AP. A device static rate probing interval, a device moving rate probing interval, first and second frame retransmission limits, a device static PER smoothing factor, and a device moving PER smoothing factor may be determined. In response to a determination that the device is static relative to the wireless AP, moving towards the wireless AP, or moving away from the wireless AP, an appropriate rate probing interval, an appropriate frame retransmission limit, and an appropriate PER smoothing factor may be used to determine a MCS value from a plurality of available MCS values to be used for transmitting data between the device and the wireless AP.

Abstract: Example implementations relate to an access point. One example apparatus includes a transceiver and a processor. The processor is to instruct the transceiver to transmit a first wake up message to a client device at a first transmission rate via a wireless network. The processor, in response to receiving a sleep message from the client device via the transceiver, is to instruct the transceiver to transmit a second wake up message to the client device at a second transmission rate that is greater than the first transmission rate.

Abstract: In an example, an optimal bit rate to transmit a packet on a communication channel is determined based on channel state information. A channel quality metric is predicted and the optimal bit rate may be modified based on the prediction.

Abstract: Localizing a location of a mobile device may be performed by obtaining times of flights between the mobile device and an access point at a first and second location. A heading of the mobile device and a distance between the first and second location may be further obtained. The times of flight, heading, and distance may be used to localize the second location.

Abstract: A distance estimate between two nodes may be determined from a path loss exponent and a direct path energy estimate. The direct path energy estimate may be determined from channel state information of a packet received from one of the nodes. The path loss exponent may be determined from the direct path energy estimate and a received signal strength indicator.

Abstract: A first distance between a first node and a target node is computed based on a first time-of-flight (ToF) of a communication sequence between the first node and the target node. A second distance between a second node and the target node is computed based on a second ToF of the communication sequence between the first node and the target node, as recorded by the second node. A location of the target node is determined based on the first distance and the second distance.

Abstract: The present disclosure is generally related to a method for wireless software-defined networking. The method includes establishing a wireless link between an access point of a network and a plurality of client devices. The method includes generating a time schedule. The time schedule allocates a time window to each of the plurality of client devices. Each time window defines when a plurality of client devices is allowed to communicate within the network via the access point.