Abstract: A system described herein may provide a technique for enhanced authentication techniques that leverage network-based location determination of UEs, such as mobile telephones or other devices that communicate with a wireless network. For example, a wireless network may monitor, determine, or otherwise maintain information regarding the geographic location of User Equipment (“UEs”) that are associated with the wireless network. Some embodiments may utilize such network-monitored location information to verify that a participant device, associated with a given UE, is located within a particular proximity of the UE when performing an authentication process to receive services or resources.

Abstract: A system described herein may provide a technique for the network-implemented detection of locations that exhibit excessive density of individuals, and/or for the detection of individuals who do not maintain a minimum level of distance between each other. Location information of one or more User Equipment (“UEs”) may be monitored and compared to policy information to determine that the locations exhibit at least a threshold level of population density. Further, remedial measures may be taken when such situations are detected, such as alerting devices that are located within, or are heading towards, such locations.

Abstract: A device may receive a request to establish a session for a wireless communication device over a wireless network; identify the wireless communication device as an unmanned aerial vehicle; modify operating parameters of a radio access network (RAN), with which the wireless communication device has a radio resource control (RRC) link, to optimize communication between the access network and the unmanned aerial vehicle. The wireless network includes the RAN.

Abstract: A system described herein may provide for the tracking and/or calculating of performance metrics associated with a network by marking traffic and determining performance characteristics of the marked traffic. Such performance characteristics or metrics may include throughput, latency, jitter, and/or other metrics. The marking may be performed on “user” traffic, which may be traffic that is generated or sent via the network by an application or service (e.g., a voice call service, a content streaming service, etc.), as opposed to “synthetic” or “test” traffic, which is traffic that is generated or sent for the purposes of testing performance of the network (e.g., traffic related to a “speed test” or the like).

Abstract: An illustrative workload management system obtains resource utilization data representing utilization of network equipment of a communication network, obtains utilities data representing information about utilities at network facilities at which the network equipment is deployed, and assigns, based on the resource utilization data and the utilities data, a workload among the network equipment deployed at the network facilities. Corresponding methods and systems are also described.

Abstract: A device may receive channel data associated with a channel provided between a network and a user device, and may calculate, based on the channel data, key performance indicator data that includes a plurality of key performance indicators for the channel. The device may multiply the plurality of key performance indicators by factors to generate factored key performance indicator data that includes a plurality of factored key performance indicators. The device may apply weights to the plurality of factored key performance indicators of the factored key performance indicator data to generate factored weighted key performance indicator data that includes a plurality of factored weighted key performance indicators. The device may calculate a quality indicator for the channel based on the factored weighted key performance indicator data, and may perform one or more actions based on the quality indicator for the channel.

Abstract: A network device receives control plane (CP) traffic transiting a first mobile network. The network device determines CP traffic loads handled by network functions of the first mobile network and determines availability of CP resources within the first mobile network. The network device performs at least one of load balancing, network selection or overload protection, when switching the CP traffic from a source to a destination, based on the determined CP traffic loads and/or the determined availability of CP resources.

Abstract: A device can determine a set of parameters associated with generating a route plan for routing an unmanned aerial vehicle (UAV) in a three-dimensional (3D) environment. The set of parameters can include a parameter that identifies a radio frequency (RF) condition to be satisfied by the route plan. The device can determine a route, associated with the 3D environment, based on the parameter that identifies the RF condition and using an RF model. The RF model can be associated with predicting RF conditions in the 3D environment. The device can generate the route plan including information associated with the route. The device can provide information associated with the route plan.

Abstract: A device may receive channel data associated with a channel provided between a network and a user device, and may calculate, based on the channel data, key performance indicator data that includes a plurality of key performance indicators for the channel. The device may multiply the plurality of key performance indicators by factors to generate factored key performance indicator data that includes a plurality of factored key performance indicators. The device may apply weights to the plurality of factored key performance indicators of the factored key performance indicator data to generate factored weighted key performance indicator data that includes a plurality of factored weighted key performance indicators. The device may calculate a quality indicator for the channel based on the factored weighted key performance indicator data, and may perform one or more actions based on the quality indicator for the channel.

Abstract: A network device may receive multi-access edge computing (MEC) proximity service information that identifies a set of MEC devices and a set of network services supported by respective MEC devices of the set of MEC devices. The network device may transmit, to a base station, at least a portion of the MEC proximity service information for broadcasting by the base station. The network device may receive, from a user device, a request to establish a peer-to-peer connection with a MEC device for the network service. The network device may authenticate the user device for access to the network service. The network device may transmit, to the user device and the MEC device, connection information that enables the user device and the MEC device to establish the peer-to-peer connection, based on authenticating the user device for access to the network service.

Abstract: A system includes a base station. The base station includes: a laser assembly that transmits an optical control beam to a phased array antenna external to and remote from the base station; and a radio frequency (RF) transceiver that transmits a radio signal to the phased array antenna. The phased array antenna deflects the radio signal arriving at the phased array antenna in a particular direction indicated by the optical control beam. The particular direction of the deflected radio signal is toward a particular user device.

Abstract: A system described herein may provide a technique for the modeling of channel condition information, associated with a base station of a radio access network (“RAN”) associated with a wireless network, over time. The model may be used to determine, estimate, or predict channel information associated with the base station at a given time, such as a time corresponding to a request for content (e.g., streaming content). The channel condition information corresponding to this time, as determined based on the model, may be used to select a particular version of the content to provide in response to the request. By virtue of receiving this information, the content provider may forgo performing a speed test, a ramp up transmission scheme, and/or other technique that may otherwise used to select the version of the content to provide in response to the request.

Abstract: An RF antenna system includes a first unit that further includes first attachment means that secures the first unit to a window, and an antenna. The first unit additionally includes an RF transceiver, coupled to the antenna, that receives, via the antenna, incoming RF signals and converts the RF signals to first electrical signals; and first optical means that transmits the first electrical signals as first optical signals through the first surface of the window. The RF antenna system also includes a second unit that includes second attachment means that secures the second unit to the window. The second unit also includes second optical means that receive the first optical signals through the second surface of the window, convert the first optical signals to first digital signals, and transmit the first digital signals to a device connected to the second unit.

Abstract: A device may receive information indicating one or more parameters associated with one or more antenna arrays in a radio access network. The device may receive a flight request that indicates one or more conditions for a flight path of an unmanned aerial vehicle (UAV) seeking network access to the radio access network. The device may determine waypoints for the flight path based on analyzing the one or more parameters associated with the one or more antenna arrays and the one or more conditions for the flight path of the UAV. The device may transmit information identifying the waypoints for the flight path. The device may send control information to cause the one or more antenna arrays to form a corresponding one or more beams along the flight path to enable the UAV to traverse the flight path with the network access to the radio access network.

Abstract: A network device may receive multi-access edge computing (MEC) proximity service information that identifies a set of MEC devices and a set of network services supported by respective MEC devices of the set of MEC devices. The network device may transmit, to a base station, at least a portion of the MEC proximity service information for broadcasting by the base station. The network device may receive, from a user device, a request to establish a peer-to-peer connection with a MEC device for the network service. The network device may authenticate the user device for access to the network service. The network device may transmit, to the user device and the MEC device, connection information that enables the user device and the MEC device to establish the peer-to-peer connection, based on authenticating the user device for access to the network service.

Abstract: A device may receive information indicating one or more parameters associated with one or more antenna arrays in a radio access network. The device may receive a flight request that indicates one or more conditions for a flight path of an unmanned aerial vehicle (UAV) seeking network access to the radio access network. The device may determine waypoints for the flight path based on analyzing the one or more parameters associated with the one or more antenna arrays and the one or more conditions for the flight path of the UAV. The device may transmit information identifying the waypoints for the flight path. The device may send control information to cause the one or more antenna arrays to form a corresponding one or more beams along the flight path to enable the UAV to traverse the flight path with the network access to the radio access network.

Abstract: A multi-access edge computing (MEC) node of a MEC network may receive, from a user device a first request to communicate via a peer-to-peer connection routed through a MEC network. The MEC node may identify one or more candidate devices that are available to communicate with the user device via the peer-to-peer connection. The MEC node may provide, to a particular candidate device of the one or more candidate devices, a second request to communicate via the peer-to-peer connection. The MEC node may receive, from the particular candidate device, an acceptance to communicate via the peer-to-peer connection. The MEC node may route data between the user device and the particular candidate device via the peer-to-peer connection.

Abstract: A network device may receive multi-access edge computing (MEC) proximity service information that identifies a set of MEC devices and a set of network services supported by respective MEC devices of the set of MEC devices. The network device may transmit, to a base station, at least a portion of the MEC proximity service information for broadcasting by the base station. The network device may receive, from a user device, a request to establish a peer-to-peer connection with a MEC device for the network service. The network device may authenticate the user device for access to the network service. The network device may transmit, to the user device and the MEC device, connection information that enables the user device and the MEC device to establish the peer-to-peer connection, based on authenticating the user device for access to the network service.

Abstract: A multi-access edge computing (MEC) node of a MEC network may receive, from a user device a first request to communicate via a peer-to-peer connection routed through a MEC network. The MEC node may identify one or more candidate devices that are available to communicate with the user device via the peer-to-peer connection. The MEC node may provide, to a particular candidate device of the one or more candidate devices, a second request to communicate via the peer-to-peer connection. The MEC node may receive, from the particular candidate device, an acceptance to communicate via the peer-to-peer connection. The MEC node may route data between the user device and the particular candidate device via the peer-to-peer connection.

Abstract: A system may use optical character recognition (“OCR”) techniques to identify license plates or other textual information associated with vehicles. Based on this OCR information, the system may determine additional information, such as users associated with the vehicles. The system may further obtain other information, such as history information associated with the vehicles and/or the users (e.g., via an “opt-in” data collection service). Ad content may be selected based on trends associated with the users and/or vehicles, and may be presented via “smart” billboards (e.g., billboards that may dynamically display different content).