The implementations of the present disclosure relate to a method and a device for measuring interference or signal received power, the method includes: a terminal device measures channel sounding reference signal SRS resources to obtain a reference signal received power RSRP value corresponding to at least one SRS resource; on the basis of the RSRP value corresponding to the at least one SRS resource, the terminal device determines a value to be reported; and the terminal device reports the value to be reported to a network device.

In an embodiment a wireless device receives configuration parameters, of a cell, indicating: a first reference signal (RS) of a first transmission reception point (TRP) of the cell; a second RS of a second TRP of the cell; random access channel (RACH) resources of a RACH of the cell; and a power offset value. The wireless device measures a first received power value of the first RS and measures a second received power value of the second RS. The wireless device selects, based on the measuring and the power offset value, an RS from the first RS and the second RS. Then, the wireless device transmits a preamble, associated with the selected RS, via the RACH resources.

In an embodiment a wireless device receives configuration parameters, of a cell, indicating: a first reference signal (RS) of a first transmission reception point (TRP) of the cell; a second RS of a second TRP of the cell; random access channel (RACH) resources of a RACH of the cell; and a power offset value. The wireless device measures a first received power value of the first RS and measures a second received power value of the second RS. The wireless device selects, based on the measuring and the power offset value, an RS from the first RS and the second RS. Then, the wireless device transmits a preamble, associated with the selected RS, via the RACH resources.

This application provides a positioning method and an apparatus. The method includes: A location management device provides assistance information for a terminal device, where the assistance information includes information about one or more cells used for positioning of the terminal device and reference signal configuration information of each of the one or more cells. The location management device provides a first request message for the terminal device, where the first request message includes measurement reporting configuration information. The location management device receives a reference signal measurement result of each of the one or more cells from the terminal device, where the reference signal measurement result is obtained based on the measurement reporting configuration information. The location management device obtains a DAOD of the terminal device relative to each of the one or more cells based on the reference signal measurement result.

A vehicle (20) transmits an LF command (Wa), an electronic key (30) transmits, to the vehicle (20), an RF command responsive to the LF command (Wa), the vehicle (20) transmits, to the electronic key (30), an LF command (Wb) having a longer packet length than the LF command (Wa), and the electronic key (30) transmits, to the vehicle (20), an RF command responsive to the LF command (Wb) on the basis of the electric field strength of an LF-RSSI burst of a part of the LF command (Wb), thus turning on an interior light (501).

A vehicle (20) transmits an LF command (Wa), an electronic key (30) transmits, to the vehicle (20), an RF command responsive to the LF command (Wa), the vehicle (20) transmits, to the electronic key (30), an LF command (Wb) having a longer packet length than the LF command (Wa), and the electronic key (30) transmits, to the vehicle (20), an RF command responsive to the LF command (Wb) on the basis of the electric field strength of an LF-RSSI burst of a part of the LF command (Wb), thus turning on an interior light (501).

In some cases, signal attenuation may occur when a mobile device communicates with a vehicle. To accommodate for this, a vehicle may determine a distance between the vehicle and the mobile device by evaluating a signal strength of a wireless signal received from the mobile device. An erroneous distance result may be produced when the wireless signal is attenuated by an intervening object. A wearable device worn by the individual is used to detect the presence of the mobile device. The detection procedure involves measuring a separation distance between the wearable device and the mobile device at different instances in time as the individual swings his/her arm back and forth while moving towards the vehicle.

In some cases, signal attenuation may occur when a mobile device communicates with a vehicle. To accommodate for this, a vehicle may determine a distance between the vehicle and the mobile device by evaluating a signal strength of a wireless signal received from the mobile device. An erroneous distance result may be produced when the wireless signal is attenuated by an intervening object. A wearable device worn by the individual is used to detect the presence of the mobile device. The detection procedure involves measuring a separation distance between the wearable device and the mobile device at different instances in time as the individual swings his/her arm back and forth while moving towards the vehicle.

Exemplary embodiments include a wireless computing network to assess and model a physical characteristic associated with an object or space, the network including a plurality of wireless nodes located in a physical space, each of the plurality of wireless nodes configured to wirelessly communicate with at least one other wireless node in the network in a secure manner, attach to a physical object in the physical space via any adhesive means, utilize data from neighboring wireless nodes to generate or update an artificially intelligent machine learning model regarding a physical characteristic associated with the physical space and a gateway device in communication with each of the plurality of wireless nodes.

Methods and systems for reporting CSI and selecting optimal beams using ML. The CSI report is sent to a gNB, which includes feedback parameters, computed and predicted using ML. The feedback parameters are computed using measurements performed using CSI-RS. Values of the feedback parameters likely at future, based on channel variation and the measurements, are pre-dieted using ML. The computed and predicted feedback parameters are included in the CSI report. Optimal CSI-RS resource allocation and optimal CSI reporting periodicity are determined using ML and sent to the gNB. The CSI report is encoded using the ML based model. The RSRP of the beams are predicted using ML for beam selection.