Abstract: An intelligent network policy engine can be utilized to apply dynamic policy changes for microservices. For example, based on outlined service provider policies, user equipment state data, and/or network state data, the intelligent network policy engine can determine which microservices to use and/or what order to use the microservices to increase a performance of the network. The intelligent network policy engine can perform conflict resolution based on how network traffic should be treated in certain scenarios.

Abstract: A virtualized network function included in a mobile communication network may be capable of performing validation of sensor data. The sensor data may be generated by one or more sensors monitoring a tangible asset that is being transported between geographical locations. The sensor data may be received by the virtualized network function from an Internet-enabled device in communication with the mobile communication network. In some cases, a contract management application included in the virtualized network function may validate the sensor data based on one or more compliance thresholds describing a shipment condition of the tangible asset. Based on determining whether the sensor data indicates a compliant shipment condition for the tangible asset, the contract management application may modify a contract associated with the tangible asset.

Abstract: A user equipment (e.g., C-V2X user equipment) can receive a transmission from a network device of a mobile network and decode the transmission using a first forward error correction code. The user equipment can determine an attribute of the transmission to determine a condition of the communication channel. Based on the condition of the communication channel, the user equipment can facilitate transmitting feedback to the network device, wherein the feedback is forwarded through the mobile network to an application server device that selects a second forward error correction code based on the feedback. The second forward error correction code can be transmitted to, and received by, the user equipment. The user equipment can use the second forward error correction code to decode subsequent transmissions.

Abstract: Concepts and technologies disclosed herein are directed to intelligent drone traffic management via a radio access network (“RAN”). As disclosed herein, a RAN node, such as an eNodeB, can receive, from a drone, a flight configuration. The flight configuration can include a drone ID and a drone route. The RAN node can determine whether capacity is available in an airspace associated with the RAN node. In response to determining that capacity is available in the airspace associated with the RAN node, the RAN node can add the drone ID to a queue of drones awaiting use of the airspace associated with the RAN node. When the drone ID is next in the queue of drones awaiting use of the airspace associated with the RAN node, the RAN node can instruct the drone to fly through at least a portion of the airspace in accordance with the drone route.

Abstract: An integrated GW (I-GW) can be utilized to facilitate communications with Internet of things (IoT) devices that operate without Internet protocol (IP) addresses, based on assigned preferences and/or priority. In one aspect, the I-GW can efficiently deliver existing services for various types of IoT devices (e.g., that support different non-IP protocols) and can create emerging applications across different vertical applications. Further, the I-GW can leverage mobility network elements to authenticate, prioritize connections, and/or enable data orchestration via underlying software defined network (SDN)-enabled capabilities and/or infrastructure services. By utilizing IoT devices that do not have IP stacks, a cost and/or size of the IoT devices can be decreased and battery life can be significantly extended.

Abstract: Aspects of the subject disclosure may include, for example, a method comprising providing services over a network to a device, and constructing device capability and usage profiles. A level of service quality for the device is adjusted by adjusting a latency criterion regarding connection of the device to the network; adjusting a speed of transmissions to or from the device; and altering a routing of transmissions to or from the device. The network can be partitioned so that the adjusted service quality level is provided by a network portion having a predetermined level of resources. The adjusted service quality level can comprise a first level while the device is active and a second level while the device is inactive; the first level is higher than the second level. The first and second levels are lower than a service quality level provided by another network portion. Other embodiments are disclosed.

Abstract: Edge node networks can be utilized to facilitate predictive access to content for a wide variety of applications. For example, predictive data can be generated based on historical patterns, audio data, calendar invites, etc. The predictive data can include predicted locations, persons present based on usage of their mobile device, edge node and access point usage, etc. The predicted data can be used to facilitate more efficient access to content by proactively sending mobile application and/or content usage data to edge node equipment that is predicted to be used in accordance with a predicted a predicted event. Furthermore, the predictive analysis can be used to modify mobile screens for quicker access to content and/or mobile applications.

Abstract: A biometrics hub may establish a first schedule for processing first biometric data of a user, establishing a second schedule for processing second biometric data of the user, storing the first biometric data that is received from a first biometric device via a first persistent session, and store the second biometric data that is received from a second biometric device via a second persistent session. The biometrics hub may further transmit at least one of the first biometric data or the second biometric data to an authorized remote device in accordance with the first schedule or the second schedule. In one example, the transmitting includes establishing a session with the authorized remote device, sending the at least one of the first biometric data or the second biometric data to the authorized remote device via the session with the authorized remote device, and closing the session with the authorized remote device.

Abstract: A system of cameras can be used to generate a complete field of view within an edge network. For example, one camera can have a field of view where part of the view is obstructed by an object and/or by the camera's orientation. Yet another camera that is a part of the edge network can supplement the view of the first camera by providing an alternate view. The two views can be stitched together by a coordinate system such that a complete field of view can be utilized by both cameras. Additionally, where a field of view is not available by any stationary camera, the system can dispatch a mobile camera to help supplement the views.

Abstract: Aspects of the subject disclosure include, for example, selecting a first edge device of a first network to provide a part of a service to a communication device, establishing a first session between the first edge device and a device of a second network for a duration of the service, wherein the first session is associated with a first portion of an address, establishing a second session between the first edge device and the communication device in accordance with an access technology to facilitate a transfer of first data associated with the first part of the service to the communication device, wherein the second session is associated with a second portion of the address, and wherein the second portion of the address identifies the access technology, and transferring the first data to the communication device in accordance with the address, wherein the address comprises a third portion that identifies the communication device. Other embodiments are disclosed.

Abstract: A framework for dynamic network resource allocation and energy saving based on the real-time environment, radio network information, and machine learning (ML) can be utilized via a radio access network (RAN) intelligent controller (RIC). Real-time and predicted network utilization can facilitate resource and energy savings by leveraging the RIC platform. For example, a network information base (NIB) in the RIC platform can collects RAN and user equipment (UE) resource related information in real time and provides the abstraction of the access network in the real time. ML can predict real-time information about the UEs at time t based on data analytics and real time radio resource needs. The RIC can then instruct the network to reduce or increase resources.

Abstract: In a 6G network, microservices can be utilized in the absence of a core network. For example, after a mobile device has authenticated, through its carrier network, with a transport service layer, microservices can be allocated to the mobile device without having to be transmitted via the core network. Thus, removing the core network from the process can generate a direct line of microservices from the transport layer to the end-user. Furthermore, additional microservices and/or resources can be access through a microservices library. Consequently, packets can be securely transmitted be a wireless network facilitating sending packet profile data from one to many node devices in anticipation of the packet traversing the various node devices.

Abstract: Aspects of the subject disclosure may include, for example, generating, at a first point in time, a first prediction regarding a likelihood that a communication device will attempt to connect to a service of a network at a second point in time that is subsequent to the first point in time, generating, at a third point in time that is prior to the second point in time, a second prediction regarding a scope of coverage of the network at the second point in time, and generating, by the processing system, a first ad-hoc network, modifying, by the processing system, a parameter of a second ad-hoc network, or a combination thereof, in accordance with the first prediction and the second prediction to extend the scope of coverage. Other embodiments are disclosed.

Abstract: A user equipment (e.g., C-V2X user equipment) can receive a transmission from a network device of a mobile network and decode the transmission using a first forward error correction code. The user equipment can determine an attribute of the transmission to determine a condition of the communication channel. Based on the condition of the communication channel, the user equipment can facilitate transmitting feedback to the network device, wherein the feedback is forwarded through the mobile network to an application server device that selects a second forward error correction code based on the feedback. The second forward error correction code can be transmitted to, and received by, the user equipment. The user equipment can use the second forward error correction code to decode subsequent transmissions.

Abstract: Deployed drones are managed. For instance, a first drone detects whether the first drone is in communication with a command center via a first communication network to determine a configuration parameter of a first message to broadcast discovery information associated with the first drone. In response to the first drone being in communication with the command center via the first communication network, the first drone broadcasts the first message configured with a first value for the configuration parameter. Or, in response to the first drone not being in communication with the command center via the first communication network, the first drone broadcasts the first message configured with a second value for the configuration parameter different from the first value.

Abstract: Aspects of the subject disclosure may include, for example, detecting a request for access to a wireless network via an access point. Responsive to a first determination that the identifier corresponds to an entry in the list, access is facilitated to the wireless network via the access point without the equipment of the requesting user providing credentials to the wireless network. The list includes a first set of entries corresponding to a first set of users having unrestricted access and a second set of entries corresponding to a second set of users having restricted access. Responsive to a second determination that the identifier does not correspond to any of the entries, a message is transmitted to equipment of the host regarding the request, and responsive to receiving approval, the list is updated to include the identifier. Other embodiments are disclosed.

Abstract: Structured access to volunteered private data disclosed. Access can be based on security and privacy constraint information (SPCI) that can be selected by the party volunteering the private data. The volunteered data can be stored in a protected portion of a public network. The SPCI can be correlated to the volunteered data. ln response to receiving a request for access to the volunteered data, an attribute of the request can be determined to satisfy one or more rules related to the SPCI prior to facilitating access to a version of a portion of the volunteered data. The version of the portion of the volunteered data can be a redaction of the portion of the volunteered data. The version of the portion of the volunteered data can be aggregated with other portions of other volunteered data determined to satisfy corresponding SPCI related rules.

Abstract: Aspects of the subject disclosure may include, for example, transmitting a first identifier associated with a processing system to a communication device, transmitting first data to the communication device, obtaining, from the communication device and based on the transmitting of the first identifier and the first data, a first directive, wherein the first directive directs the processing system to utilize a first radio access technology for a first communication session, and utilizing, based on the first directive, the first radio access technology for the first communication session. Other embodiments are disclosed.

Abstract: Personalized sensory services are provided to mobile devices. As a sensor monitors an area of surveillance, the sensor may detect a passing mobile device. The sensor may thus ally itself to the passing mobile device and provide personalized sensory operations.

Abstract: A processing system including at least one processor may capture at least one image via at least one imaging sensor of an uncrewed aerial vehicle in a shared environment, detect a window within the at least one image, determine a location of the window in the shared environment, based upon a position of the uncrewed aerial vehicle and a distance between the uncrewed aerial vehicle and at least a portion of the window that is calculated from the at least one image, and record the location of the window in a map of the shared environment as a prohibited imaging zone.