Disclosed are a method and device for performing beam failure recovery in a wireless communication system. In a method by which a terminal transmits an uplink or receives a downlink according to one embodiment of the present disclosure, the method comprises the steps of: transmitting a beam failure recovery request (BFRQ) to a base station on the basis of detection of a beam failure in at least one resource group from among a plurality of resource groups; receiving a response to the BFRQ from the base station; and transmitting information related to the beam failure to the base station, wherein the information related to the beam failure may indicate a specific resource group in which the beam failure is detected or the plurality of resource groups in which the beam failure is detected.

When a failed connection is detected from a first radio unit (RU) to the cellular site router (CSR), activation of an existing backup cabled connection from the first RU to the CSR through a cabled connection between the first RU and a second RU of the cellular telecommunications tower may be performed. In one example, a first RU and second RU each have two physical network ports. The activation of the existing backup cabled connection from the first RU, via the second RU, to the CSR may include causing the first RU to enter from a normal operating mode into an Open Radio Access Network (O-RAN) cascade operating mode to attempt to attain network connectivity for the first RU using the second physical network port of the first RU.

According to various aspects and techniques to enable methods and systems for a first communication device to determine an approximate number of other communication devices that have lost contact with a host communication device. This includes determining a common future time window using a last known global time stamp and determining a transmit time within the common future time window. This also includes receiving samples that are captured during the common future time window on a predefined communication channel, as well as analyzing the received samples to estimate the total number of other communication devices.

Provided in the embodiments of the present application are a method and device for monitoring network data. The method comprises: a NWDAF determines a terminal UE to be monitored that requires network data analysis and the type of data analysis for the UE to be monitored; the NWDAF determines a provider network function network element and a monitoring event which correspond to the UE to be monitored according to the type of data analysis for the UE to be monitored, the provider network function network element being used to provide source data for the UE to be monitored which is related to the data analysis type, and the monitoring event being used to indicate to the provider network function network element to monitor the source data; and the NWDAF sends the monitoring event to the provider network function network element.

The present disclosure relates to an access point, a method, a medium, and a computer program product for the access point. An access point is configured to perform at least the following processing: in response to an association request received from a user station, checking a first access control list set by a user to determine whether the user station is set by the user as a user station that is to be refused access to the access point; in response to determination that the user station is set by the user as a user station that is to be refused access to the access point, determining whether a push button configuration mode of a wireless protection setup of the access point is activated and verifying whether the association request is related to the push button configuration mode; and in response to determination that the push button configuration mode of the access point is activated and the association request of the user station is related to the push button configuration mode, sending an association response to the user station to complete a network configuration process of the user station.

The present disclosure relates to an access point, a method, a medium, and a computer program product for the access point. An access point is configured to perform at least the following processing: in response to an association request received from a user station, checking a first access control list set by a user to determine whether the user station is set by the user as a user station that is to be refused access to the access point; in response to determination that the user station is set by the user as a user station that is to be refused access to the access point, determining whether a push button configuration mode of a wireless protection setup of the access point is activated and verifying whether the association request is related to the push button configuration mode; and in response to determination that the push button configuration mode of the access point is activated and the association request of the user station is related to the push button configuration mode, sending an association response to the user station to complete a network configuration process of the user station.

Provided is a terminal device that is capable of improving the characteristics of a response signal having poor transmission characteristics when ARQ is utilized in communication using an uplink unit band and a plurality of downlink unit bands associated with the uplink unit band. At the time of channel selection, a control unit selects a resource used in sending a response signal from among specific PUCCH resources notified in advance from a base station and PUCCH resources mapped to a CCE, and controls the transmission of the response signal. A response signal generating unit supports implicit signaling with respect to any given response signal, and at the same time as supporting LTE fallback from 2CC, uses a mapping method that, between bits, smooths the number of PUCCH resources that can determine ACK/NACK simply by determining the PUCCH resource regarding which the response signal had notified.

Systems and methods are provided for analyzing one or more root causes of service degradation events in a network or other environment. A method, according to one implementation, includes a step of monitoring a plurality of overlying services offered in an underlying infrastructure having a plurality of resources arranged with a specific topology. In response to detecting a negative impact on the overlying services during a predetermined time window and based on an understanding of the specific topology, the method further includes the step of identifying suspect components from the plurality of resources in the underlying infrastructure. The method also includes the step of obtaining status information with respect to the suspect components to determine a root cause of the negative impact on the overlying services.

Apparatuses, methods, and systems are disclosed for selecting a server application instance. One apparatus includes a network interface that communicates with a plurality of network functions in a mobile communication network and a processor that receives a request from a first network function to provide performance analytics for a first application. Here, the request includes a present location and a requested time. Additionally, the first application comprises a group of application instances. The processor generates performance analytics for the first application by using a first collection of performance data and reports the performance analytics to the first network function. Here, the performance analytics indicate a best application instance in the group of application instances for the present location and the requested time.

A sensor control system (202) for managing at least a first set of one or more sensors (101) for monitoring a first domain of an industrial process and a second set of one or more sensors (102) for monitoring a second domain of the industrial process, wherein the sensor control system (202) comprises at least a first reinforcement learning, RL, agent (A1) and a second RL agent (A2), wherein the first and second RL agents were trained using reinforcement learning and a process graph (196) representing the industrial process.