The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure 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. The present invention presents a method for efficiently estimating a physical channel and, according to the present invention, a terminal of a communication system receives a synchronization signal from a base station, receives a broadcast channel from the base station, and can estimate the broadcast channel on the basis of the synchronization signal.

The present embodiments relate to a method and device for obtaining location information of a terminal by using a wireless communication system. Provided according to an embodiment is a device for acquiring the location information of a terminal, the device comprising at least one downlink signal receiver, at least one uplink signal receiver, and a controller for controlling the downlink signal receiver and uplink signal receiver, wherein the controller configures uplink resource assignment information on the basis of control information received by the downlink signal receiver and determines whether an uplink signal is received, on the basis of the uplink resource allocation information.

This disclosure provides systems, methods and apparatus for a signaling mechanism associated with activating a secondary cell (SCell) for uplink control information (UCI), including under circumstances in which the SCell is deactivated and belongs to a timing advance group (TAG) lacking a valid timing advance (TA) value. In one aspect, a user equipment (UE) and one or more components of a network entity may employ a signaling mechanism for establishing an SCell as a PUCCH-SCell in scenarios in which the PUCCH-SCell belongs to a secondary TAG (sTAG) lacking a valid TA value. The signaling mechanism may include signaling to directly provide the network entity with beam measurement information associated with one or more SCells of the sTAG or may include singling that the network entity may use to derive the beam measurement information associated with the one or more SCells of the sTAG.

A device may create a list of identifiers for base stations that support a fixed wireless service for a user device. The device may receive a first identifier of a first base station associated with a first attach request of the user device. The device may enable the fixed wireless service for the first base station for the user device when the first identifier is included in the list of identifiers. The device may disable the fixed wireless service for the first base station for the user device when the first identifier is not included in the list of identifiers.

Methods and apparatuses for transmission or reception using beamforming in a wireless communication system are disclosed herein. In one method, a user equipment receives a second signal indicating a first information. The UE derives at least one specific UE beam based on the first information. The UE uses the at least one specific UE beam to receive or transmit at least one transmission, in which the at least one transmission is periodic channel state indication, scheduling request, and/or scheduling information for downlink assignment or uplink resource.

Methods, systems, and apparatuses are described for wireless communications. Cells may be grouped into a plurality of cell groups. A base station may transmit a control message to modify a cell group of a cell associated with a wireless device.

The disclosed technology includes a method and system for preventing or reducing cyber-attacks in telecommunications networks, such as 5G networks. For example, a first node in a 5G network can detect that a first connected device is at risk of a cyber-attack based on one or more conditions and can broadcast to a plurality of nodes in the RAN that the first connected device is at risk of the cyber-attack. The first node can receive a first message from a second node of the plurality of nodes confirming or acknowledging that the first connected device is at risk of the cyber-attack. In response to receiving the first message from the second node confirming or acknowledging that the first connected device is at risk of the cyber-attack, the system can deauthorize the first connected device.

Systems and methods are provided for leveraging uplink (U)L scheduling information obtained by way of Quality of Service (QoS) Null/QoS Data frames and Media Access Control (MAC) headers transmitted by any station (STA). This UL scheduling information can be read by any access point (AP) in an extended service set (ESS), and used to improve network performance. For example, an AP may use such UL scheduling information (from STAs associated to co-channel APs in the same ESS) to minimize the latency for UL latency-sensitive traffic in that ESS. Additionally, an AP may use such UL scheduling information to minimize contention amongst STAs connected to different APs on the same channel in the same ESS, thereby improving system capacity.

A system and method for identifying at least one aggressor cell are described. The method comprises transmitting at least one subframe from at least one base station of a first set of base stations to a second set of base stations, wherein the at least one subframe further comprises of at least one downlink subframe, at least uplink subframe and at least one special subframe. The second set of base stations decodes the at least one received subframe, and maps each of the at least one received downlink subframe, at least one received uplink subframe and at least one received special subframe of the at least one received subframe to at least one expected subframe. Lastly, at least one aggressor cell is determined based on a mismatch of the at least one received subframe and the at least one expected subframe.

In one embodiment, a supervisory service for a wireless network obtains frequency-time Doppler profile information for an endpoint node attached to a first access point in the wireless network. The supervisory service uses the frequency-time Doppler profile information for the endpoint node as input to a machine learning model. The machine learning model is trained to output an action for the endpoint node with respect to the wireless network. The supervisory service causes the action for the endpoint node with respect to the wireless network to be performed.