Abstract: A base station includes a plurality of remote units (RUs), each being configured to exchange RF signals with at least one UE. The C-RAN also includes a controller communicatively coupled to the plurality of RUs via a fronthaul interface. The controller is configured to receive a public warning system (PWS) alert message. The controller is also configured to determine a number of bytes, based on a channel bandwidth of a wireless channel used by the base station, for each of a plurality of system information block messages. The plurality of system information block messages are broadcast wirelessly to the at least one UE.

Abstract: Systems and methods for ML based ACB are provided herein. In an example, a system includes BBU(s), RU(s) communicatively coupled to the BBU(s), and antenna(s) communicatively coupled to the RU(s). Each respective RU of the RU(s) is communicatively coupled to a respective subset of the antenna(s). The BBU(s), the RU(s), and the antenna(s) are configured to implement a base station for wirelessly communicating with UEs in a cell. The system includes a machine learning computing system configured to: receive time data, traffic data, and location data; and determine predicted barring parameter(s) for the base station based on the time data, the traffic data, and the location data. The system is configured to: adjust barring factor(s) and/or barring time(s) in an information message based on the predicted barring parameter(s) for the base station; and send the information message with the adjusted barring factor(s) and/or barring time(s) to UEs in the cell.

Abstract: According to various embodiments, disclosed herein is a system for delivering content to a plurality of subscriber mobile devices. The system includes Mobile Acceleration Client (MAC) that provides common services to third party mobile apps enabling app and mobile web acceleration. This background service interacts with a server side gateway, referred to herein as a Mobile Acceleration Gateway (MAG), which performs acceleration of connections and gathers intelligence about downloaded content through crowd sourcing. Intelligence in the MAG is used to identify the most popular content in apps and websites, as well as provide a cache for such content for improving server side efficiency in delivering such content.

Abstract: Disclosed herein is a system and method for granting available network capacity to mobile devices. The system locates a mobile device's cell based on its location and classifies the cell, and its associated carriers and sectors, based on different properties like busy level, bandwidth, and RF data in real time at different times of the day. Varying types of network cells with under-utilized capacity are identified using a cloud-based system to provide an online trigger to nearby mobile users to utilize the network capacity for any kind of data usage. Models are used to infer device RF conditions and details of network cellular parameters under consideration to dynamically improve the service in a heterogeneous crowd-sourced environment.

Abstract: A data communication system configured to determine and coordinate loading in a mobile network with plurality of client devices. The system includes a control server coupled the client devices. The control server has a probe control function that transmits a downlink (DL) probe with an updated client probing profile to each client device. The client device has a client probing control engine that gathers network measurement information for transmission to the control server and generates uplink (UL) probes containing the network measurement information including, radio access network (RAN) metrics, DL probe measurements for transmission to the control server based on the client probing profile. The control server receives the UL probes from the client devices and determines the system load based on the measurement information, the control server updates client scheduling information based on the system load and transmits the client scheduling information to the plurality of client devices.

Abstract: A sponsored data system configured to operate with a wireless mobile device running an app that receives sponsored data from a content provider server is provided. The system includes an interface application configured to run on the wireless mobile device. The interface application is configured to determine availability of sponsored data. A cloud platform is configured to interface with the content provider server. The cloud platform is configured to generate a token with data usable to determine availability of sponsored data and transmit the token to the interface application. A portal is configured to create and store a package that identifies at least a portion of the data associated with the app as sponsored data.

Abstract: A data communication system configured to determine and coordinate loading in a mobile network with plurality of client devices. The system includes a control server coupled the client devices. The control server has a probe control function that transmits a downlink (DL) probe with an updated client probing profile to each client device. The client device has a client probing control engine that gathers network measurement information for transmission to the control server and generates uplink (UL) probes containing the network measurement information including, radio access network (RAN) metrics, DL probe measurements for transmission to the control server based on the client probing profile. The control server receives the UL probes from the client devices and determines the system load based on the measurement information, the control server updates client scheduling information based on the system load and transmits the client scheduling information to the plurality of client devices.