A method for dynamic recovery from an unplanned network outage includes aggregating cell site data of multiple cell sites prior to the unplanned outage. The cell site data include subscriber activity data in site coverage areas of the multiple cell sites and data independent of the subscriber activity data. The method includes obtaining resource information of multiple resources available for recovering from the unplanned network outage and generating a predictive model for recovery from the unplanned network outage based on the cell site data and the resource information. The predictive model includes a priority ranking for recovering the multiple cell sites. The method further includes adjusting the predictive model based on live data indicative of a status of the multiple cell sites during the unplanned network outage. The method includes determining a priority ranking for the multiple cell sites and allocating the available resources for the multiple cell sites accordingly.

A method for dynamic recovery from an unplanned network outage includes aggregating cell site data of multiple cell sites prior to the unplanned outage. The cell site data include subscriber activity data in site coverage areas of the multiple cell sites and data independent of the subscriber activity data. The method includes obtaining resource information of multiple resources available for recovering from the unplanned network outage and generating a predictive model for recovery from the unplanned network outage based on the cell site data and the resource information. The predictive model includes a priority ranking for recovering the multiple cell sites. The method further includes adjusting the predictive model based on live data indicative of a status of the multiple cell sites during the unplanned network outage. The method includes determining a priority ranking for the multiple cell sites and allocating the available resources for the multiple cell sites accordingly.

A wireless sensor network at a monitored location can be configured to generate sensor channel(s) of data to assess operational conditions at the monitored location. Inputs based on the sensor channel(s) of data are provided to a host system for analysis of a demand to one or more resources at the monitored location. Response messages can be generated based on the demand analysis and transmitted to actuator(s) at the monitored location to effect an adjustment to the operational conditions.

A wireless sensor network at a monitored location can be configured to generate sensor channel(s) of data to assess operational conditions at the monitored location. Inputs based on the sensor channel(s) of data are provided to a host system for analysis of a demand to one or more resources at the monitored location. Response messages can be generated based on the demand analysis and transmitted to actuator(s) at the monitored location to effect an adjustment to the operational conditions.

A UE may identify, in each round other than an initial round, a first plurality of local model update elements of a present round. The first plurality of local model update elements of the present round may be associated with an updated local machine learning model. The UE may transmit to a base station, in each round other than the initial round, over a multiple access channel via analog signaling, a second plurality of local model update elements of the present round based on a third plurality of local model update elements of the present round. The third plurality of local model update elements of the present round may correspond to a sum of the first plurality of local model update elements of the present round and a local model update error of a previous round immediately before the present round. The analog signaling may be associated with OTA aggregation.

A UE may identify, in each round other than an initial round, a first plurality of local model update elements of a present round. The first plurality of local model update elements of the present round may be associated with an updated local machine learning model. The UE may transmit to a base station, in each round other than the initial round, over a multiple access channel via analog signaling, a second plurality of local model update elements of the present round based on a third plurality of local model update elements of the present round. The third plurality of local model update elements of the present round may correspond to a sum of the first plurality of local model update elements of the present round and a local model update error of a previous round immediately before the present round. The analog signaling may be associated with OTA aggregation.

Authentication in a public land mobile network, PLMN, having tenant slices is performed by a network element that has: a memory comprising program code; a communication circuitry for communication with entities in the PLMN; and a processing circuitry configured to execute the program code and according to the program code to cause: detecting a registration request from a mobile communication device, MCDt; detecting whether the registration request requests access to a network slice with one-tier authentication with the network slice, and: if yes, causing beginning of authenticating the MCDt with the network slice independently of any authentication between the MCDt and the PLMN.

A method for cell management, a terminal, and a network-side device are provided. The method, applied to a terminal, includes: receiving configuration information sent by a network-side device, where the configuration information includes an evaluation period and a trigger condition for triggering the terminal to perform a cell management operation; and if the duration of satisfying the trigger condition is less than the evaluation period, skipping performing the cell management operation; and/or if the duration of satisfying the trigger condition is greater than or equal to the evaluation period, performing the cell management operation.

One embodiment is directed to a multi-carrier radio point for use in a centralized radio access network (C-RAN). The multi-carrier radio point is configured so that the processing and hardware resources provided by the radio point can be associated with controllers of the C-RAN in a flexible manner. A single multi-carrier radio point can be used with multiple controllers to serve multiple cells, where the processing and hardware resources used for the multiple controllers need not be configured and used in the same way.

In one embodiment, a computing system may receive a request for an optimization recommendation of a geographic area of interest covered by a communication network. The computing system may determine a network traffic trend associated with the geographic area of interest based on a current number of data samples that may be aggregated into a plurality of data points. The computing system may predict a value of a number of data samples for a future time associated with the geographic area of interest, based on the determined network traffic trend and the current number of data samples. The computing system may predict, based on the determined network traffic trend and the predicted value of the number of data samples at the future time, network traffic associated with the geographic area of interest at the future time, and send instructions for presenting the optimization recommendation based on the predicted network traffic.