Systems, methods, and software for initiating a Packet Switch (PS) Data off feature for User Equipment (UE) within a network. In one embodiment, a network element in a network stores a data off policy that triggers activation or deactivation of the PS Data off feature for the UE, and determines whether to activate the PS Data off feature for the UE based on the data off policy and one or more network service conditions. The network element generates a PS Data off request to activate the PS Data off feature for the UE responsive to a determination to activate the PS Data off feature, and initiates transmission of the PS Data off request for receipt by a gateway of the network that acts as an entry point for downlink traffic for the UE.

A method for wireless communication network control includes (1) receiving, at an information technology (IT) device, a first steering policy from an application manager remote from the IT device, the first steering policy specifying a first allocation of data among a plurality of wireless communication links available to the IT device; and (2) sending uplink or downlink data from a first application client on the IT device to a mobility manager remote from the IT device over at least one of the plurality of wireless communication links available to the IT device, according to the first allocation of data.

A data processing method and apparatus, and a terminal device are described. The method includes: receiving, by a mobility management device, uplink data sent by a terminal device by using a NAS message, and determining, based on a processing capability of the mobility management device, whether the mobility management device is overloaded; and when the mobility management device is overloaded, instructing, by the mobility management device, the terminal device to transmit the uplink data through a user plane. The data processing method and apparatus may improve communication quality, especially when a bearer between the mobility management device and a service device is not set up, the bearer does not need to be first set up and then released, saving signaling and resources.

A telecommunications network may adjust service (e.g., data rate) to UE devices within an adjustable zone (AZ) that includes at least two types of coverage (e.g., 4G and 5G), depending on services being utilized by the UE devices and current network conditions of the telecommunications network. When a UE device enters the AZ, the services utilized by the UE device are determined. For instance, if the UE device is moving within the AZ, and the LTE is congested, the data rate for the device may be reduced. If the LTE network is not in a heavy loaded condition and the UE device is utilizing an Enhanced Mobile Broadband (EMBB) service, the AZ can be reduced or disabled. Further, the device data rate can be reduced for different services in the AZ to keep more devices in NR coverage.

In one implementation, a communications apparatus includes a communications circuit including a first communications system configured to communicate with a first communications network over a first communications medium; a second communications system configured to communicate with the first communications network over a second communications medium; and a communications port configured to communicate with a second communications network. The communications apparatus can further include a power circuit that includes a first power system configured to power the communications apparatus with a first power source; and a second power system configured to power the communications apparatus with a second power source. The communications apparatus can further include a processing system configured to be powered by the power circuit and selectively control communications flows between the communications port and at least one of the first communications system and the second communications system.

Concepts and technologies disclosed herein are directed to collective intelligence-based cell congestion detection in mobile telecommunications networks. According to some aspects of the concepts and technologies disclosed herein, a core network element or device application can detect cell congestion based upon Internet layer, transport layer, and application layer data, such as, for example, traffic type, volume, rate, latency, jitter, and the like. According to one aspect disclosed herein, a cell congestion detection (CCD) system can collect data from an Internet layer, a transport layer, and an application layer. The CCD system can apply a machine learning algorithm to the data to determine whether the cell is congested. According to another aspect the CCD system can collect the data that is associated with a specific application executed by a plurality of UE devices connected to a cell.

An electronic device discussed herein may include radio frequency communication circuitry for communication on a radio frequency network according to a communication configuration, a processor, and memory. The memory may store instructions that, when executed by the processor, cause the electronic device to perform operations including receiving, a first muting configuration indicating when the radio frequency communication circuitry is to communicate using a first type of communication on a first frequency band and when the radio frequency communication circuitry is to communicate using a second type of communication on a second frequency band, where the first frequency band may overlap with the second frequency band. The memory may store instructions that, when executed by the processor, cause the electronic device to perform operations including transmitting or receiving a data packet using the radio frequency communication circuitry according to the communication configuration.

Described are examples for repurposing mobility management with virtual radio in software radio access networks. A virtual mobile network includes a first server configured to host a first mobile network distributed unit (DU) for providing a first virtual cell to a plurality of user devices via a radio unit. The virtual mobile network also includes a second server configured to host a second mobile network distributed unit providing a second virtual cell via the same radio unit. A radio access network (RAN) intelligent controller (RIC) is configured to control the first DU and the second DU to hand over the plurality of user devices from the first virtual cell to the second virtual cell. The first server may then be shut down for maintenance or updates without dropping service to the user devices.

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.

When a packet data session is established for a user equipment (UE), a comparative assessment of load information factors from different sets of load information factors associated with a plurality of user plane function (UPF) instances may be performed. Each set of load information factors of a UPF instance may include predicted load information factors indicative of a predicted load at the UPF instance. A UPF instance may be selected for the packet data session of the UE based on the comparative assessment. The comparative assessment may additionally consider a predicted load contribution of the packet data session to be established for the UE. A data analytics function may utilize a model (e.g. a multiple linear regression model) to calculate predicted load contribution factors, where the model is derived based on historical usage data from previous sessions of one or more UEs, for example, data from charging data records (CDRs).