A computer, including a processor and a memory, the memory including instructions to be executed by the processor to determine a plurality of received signal strength indicators or time of flight values for a mobile device from each of a plurality of sensors included in a vehicle, determine a location of the mobile device with respect to the vehicle by processing the received signal strength indicators or time of flight values with a neural network wherein each received signal strength indicator is input to an input neuron included in an input layer of the neural network wherein each input neuron inputs at least one received signal strength indicator or time of flight value, and operate the vehicle using the located mobile device.

A system for monitoring and controlling a manufacturing environment is disclosed. Aspects discussed include beacons broadcasting identifying information for aspects of the manufacturing environment such as workstations, manufactured items, machines, equipment, and people. The identifying information may be used to generate reports about the operation of these and possibly other aspects, as well as provide control options for changing the manufacturing environment. Employees may move about the environment to visually monitor activities taking place, while the system may automatically query for additional information about the tools, equipment, people encountered in the environment. Control options for changing aspects of the manufacturing processes may also be automatically displayed as well.

An application running on a UE receives a command through a user interface or from a server to initiate the locating of a tracking device. The tracking device determines one or more hot spots it is close to. A server determines whether to instruct the tracking device to use its GNSS circuitry to determine its location based on a comparison of location information corresponding to the hot spot(s) and user selectable accuracy criteria. The UE may detect a beacon signal and determine an initial value corresponding to an initial signal strength of the beacon. The beacon may only broadcast for a predetermined period based on location scenario. The application produces a default initial indication, based on the initial signal strength and uses updated beacon signal strength values to adjust the indication relative to the default indication based on the updated signal strength value relative to the initial signal strength value.

A system and methods are disclosed for reducing Rx/Tx timing errors in a wireless network for latency of positioning measurements. Additionally, a system and methods are disclosed for increasing positioning accuracy by mitigating NLOS errors and/or by performing two-stage beam sweeping for DL-AoD. Further, a system and methods are disclosed for performing M-sample positioning measurements to improve latency reporting in connection with positioning reporting.

A system and methods are disclosed for reducing Rx/Tx timing errors in a wireless network for latency of positioning measurements. Additionally, a system and methods are disclosed for increasing positioning accuracy by mitigating NLOS errors and/or by performing two-stage beam sweeping for DL-AoD. Further, a system and methods are disclosed for performing M-sample positioning measurements to improve latency reporting in connection with positioning reporting.

Techniques for suggesting accessory devices controlled by an application executing on a mobile device are disclosed. A method includes measuring one or more sensor values using one or more sensors of a mobile device and the one or more sensor values are determined from one or more signals emitted by a first one or more accessory devices. An area of a physical space for the first one or more accessory devices can be determined based on the one or more sensor values. A second one or more accessory devices associated with the same area as the first one or more accessory devices can be suggested to a user.

Techniques for suggesting accessory devices controlled by an application executing on a mobile device are disclosed. A method includes measuring one or more sensor values using one or more sensors of a mobile device and the one or more sensor values are determined from one or more signals emitted by a first one or more accessory devices. An area of a physical space for the first one or more accessory devices can be determined based on the one or more sensor values. A second one or more accessory devices associated with the same area as the first one or more accessory devices can be suggested to a user.

An internet of things is disclosed, comprising plural SDR receivers and possibly a centralised system, where one or more of the receivers may be mobile. The internet of things thus allows for a very large proportion of RF signals present within a city, for example, to be monitored and analysed for the purpose of identifying, tracking and/or preventing criminal behaviour. The receivers may be equipped with secure SDRs for increased security and privacy and the system preferably includes artificial intelligence using machine learning technology, for increased adaptability among others. The system is flexible due to the programmability of the SDRs.

A method, a power adapter and a system for determining a location of the power adapter are provided. The method includes: determining whether the power input plug is engaged with an AC power output wall socket of a power source; if the power input plug is not engaged with the AC power output wall socket, instructing the beacon circuit module to broadcast tag information corresponding to the power adapter; else if the power input plug is engaged with the AC power output wall socket, enabling the tag reader to read a tag circuit of the power source; identifying an identification number detected from the tag circuit; determining a location of the power adapter according to the identification number and a location mapping table; sending a plug notification to a remote control center; and instructing the beacon circuit module for receiving a further tag information of a further power adapter.

Techniques for improved wireless ranging are provided. A first communication from a first client device is received at a first network device. A predefined minimum distance is determined for the first access point, where the predefined minimum distance corresponds to a distance at which the vertical location of the first network device causes time of flight ranging techniques to result in inaccurate location estimations. A first distance of the first client device from the first network device is estimated. Upon determining that the first distance of the first client device is below the predefined minimum distance, ToF ranging requests from the first client device are declined.