Responsive to a CPU load of a specific access point surpassing a high CPU threshold value, each of the wireless stations is disassociated from the specific access point. A second access point within range of the disassociated wireless stations is identified. A current CPU load is determined for the second access point and determining RSSI values for the wireless station with respect to the second access points relative to other available access points. Responsive to a current CPU load being within a low CPU threshold value, and an RSSI value being within a minimum decibel value, one or more of the disassociated wireless stations the second access point are associated. IPv6 network services are then continued for the wireless station by the second access point.

Provided are a method in which a first device (100) determines whether information related to a sidelink resource is valid, and an apparatus supporting same. The method comprises the steps of: receiving information related to a sidelink resource from a second apparatus (200); and determining whether the information related to the sidelink resource is valid, on the basis of the power of a signal received from the second device (200).

Embodiments of this application provide a method for reporting a CSI report, a terminal device, and a network device. The method includes: receiving first information from a network device, where the first information is used to indicate any one of the following measurement quantities: reference signal received quality RSRQ and signal to interference plus noise ratio SINR; or the first information is used to indicate at least two of the following measurement quantities: reference signal received power RSRP, RSRQ, and SINR; and reporting a CSI report to the network device according to the first information, where the CSI report includes a measurement quantity indicated by the first information. This application is applied to beam reporting.

A communication method and system for converging a fifth generation (5G) communication system for supporting higher data rates beyond a fourth generation (4G) system with a technology for Internet of things (IoT) are provided. The communication method and system may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method by a terminal configured with at least one serving cell for performing a random access (RA) procedure is provided. The method includes measuring downlink reference signal received power (DL RSRP) of a serving cell on which the RA procedure is initiated, determining whether the DL RSRP of the serving cell is greater than a threshold, and performing a two-step RA procedure based on the DL RSRP of the serving cell being greater than the threshold.

Apparatuses and methods for managing electromagnetic field (EMF) radiation. A method includes determining one or more radiation power related parameters, the one or more radiation power related parameters including precoding vectors selected for transmission on a transmission time interval (TTI) basis, a transmit power, and resource block (RB) utilization. The method also includes estimating, based on the one or more radiation power related parameters, a time-averaged radiation power over a predefined time window in azimuth and elevation dimensions. The method also includes determining a direction of a maximum time-averaged radiation power among the estimated time-averaged radiation power; and adjusting one or more transmission parameters based on determining that the maximum time-averaged radiation power in the direction is higher than a threshold.

UE-related measurements taken on a Pcell in a wireless communication system are formed into a set of data. The Pcell overlaps with Scell(s). The UE-related measurements on the Pcell are for a specific UE in the Pcell. Using a ML algorithm applied to the set of data, achievable channel quality is predicted for the specific UE for each of the Scell(s). The predicted achievable channel qualities are output for the specific UE to be used for Scell selection. At a RAN node, the set of data is sent toward an Scell prediction module for the module to determine information suitable to enable Scell selection for the specific UE. The RAN node receives information from the module allowing the RAN node to inform the selected UE of Scell(s) to be used for Scell selection for the specific UE. A node may train the ML algorithm using UE-related measurements on the Pcell.

Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data pointscandidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data pointscandidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

A device comprising at least one hardware processor obtains a bandwidth for a communication from a station in a wireless network and a signal strength for the communication from the station, and determines that the communication is a communication related to network maintenance in case the bandwidth is below a first value and an expected bandwidth based on the signal strength is above a second value, and that the communication is a data communication in case the bandwidth is below the first value and the signal strength is below the second value, in case the communication is a data communication, the at least one hardware processor can determine that the station is active.

A device comprising at least one hardware processor obtains a bandwidth for a communication from a station in a wireless network and a signal strength for the communication from the station, and determines that the communication is a communication related to network maintenance in case the bandwidth is below a first value and an expected bandwidth based on the signal strength is above a second value, and that the communication is a data communication in case the bandwidth is below the first value and the signal strength is below the second value, in case the communication is a data communication, the at least one hardware processor can determine that the station is active.