Abstract: A method includes registering, by a primary cell site processor, an unmanned aerial vehicle, receiving, by the primary cell site processor, a list of one or more potential secondary cell sites from the unmanned aerial vehicle, timing advances associated with the one or more secondary cell sites, deriving, by the primary cell site processor, a number of component carriers within each of the one or more potential secondary cell sites, selecting, by the primary cell site processor, one or more secondary cell sites from the one or more potential secondary cell sites, and transmitting, by the primary cell site processor, instructions to the one or more secondary cell sites to provide a component carrier to the unmanned aerial vehicle.

Abstract: An architecture to reduce or eliminate uplink interference induced by aerial user equipment (UE) when aerial UE is introduced into groups of terrestrial based UE operating in terrestrial fourth generation (4G) long term evolution (LTE), fifth generation (5G) networks. A method can comprise determining a number of terrestrial based user equipment impacted by uplink interference caused by uplink transmissions associated with aerial user equipment, wherein the aerial user equipment and the terrestrial based user equipment are controlled by serving cell equipment; determining an enclosed area that bounds the number of terrestrial based user equipment; and initiating a carrier aggregation process on the aerial user equipment, wherein the carrier aggregation divides the uplink transmissions associated with the aerial user equipment over a group of serving cell equipment included in the enclosed area.

Abstract: An architecture to dynamically configure inter-cell interference coordination between terrestrial serving cell equipment that are servicing aerial user equipment. A method can comprise receiving key performance indicator value data, user equipment device type data, serving cell equipment data representing a serving cell equipment capability; based on the user equipment device type data and the serving cell equipment capability, initiating an enhanced inter-cell interference coordination process on serving cell equipment; and based on the serving cell equipment data, implementing an aggregated almost blank subframe schedule on the serving cell equipment.

Abstract: The described technology is generally directed towards cellular communication network sleep management. A central network automation platform can control sleep settings deployed to radio access network nodes that support the cells of the cellular communication network. The network automation platform can collect cell configuration data and can use the cell configuration data to determine sleep settings for sleep-eligible cells. The network automation platform can furthermore monitor performance of the sleep-eligible cells and neighbor cells to determine whether the sleep settings have led to degraded performance.

Abstract: The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.

Abstract: A method includes registering, by a primary cell site processor, an unmanned aerial vehicle, receiving, by the primary cell site processor, a list of one or more potential secondary cell sites from the unmanned aerial vehicle, timing advances associated with the one or more secondary cell sites, deriving, by the primary cell site processor, a number of component carriers within each of the one or more potential secondary cell sites, selecting, by the primary cell site processor, one or more secondary cell sites from the one or more potential secondary cell sites, and transmitting, by the primary cell site processor, instructions to the one or more secondary cell sites to provide a component carrier to the unmanned aerial vehicle.

Abstract: The disclosed technology is directed towards load balancing in an adaptive and automated way for wireless mobility networks to improve the overall harmonic-average UE throughput within each controlled group of cells (e.g., different frequency carriers serving a sector of a base station). A load balancer (e.g., analytics component) obtains various device traffic data including throughput data for cells of a group. Pairs of cells in a group (sharing a site and face) can be selected based on satisfying various criteria, with estimated throughput gain achieved by changing the handoff rates between the cell pairs. The technology iteratively repeats the overall process, driving a system to an optimal equilibrium.

Abstract: An architecture for facilitating smart physical cell identity (PCI) configuration for aerial network equipment that can used in terrestrial 4G and/or 5G LTE wireless networking paradigms. A method can comprise: receiving, from core network equipment, an instruction to travel from a first geographic location to a second geographic location, wherein the second geographic location has been determined, by the core network equipment, as representing a hotspot location; traveling from the first geographic location to the hotspot location; based on crossing a boundary associated with the hotspot location, initiating execution of a user equipment relay process that transitions the aerial user equipment from being user equipment to being aerial network equipment; and transmitting to the core network equipment that the user equipment relay process has been successfully initiated.

Abstract: An architecture to avoid handover ping-pong for aerial user equipment (UE) operational in terrestrial fourth generation (4G) and/or fifth generation (5G) long term evolution (LTE) networks. A method can comprise receiving a request to connect to the network equipment from aerial user equipment; based on the request to connect, retrieving subscription data; based on the subscription data, determining that the aerial user equipment is aerial equipment; determining that the aerial user equipment is engaged in a ping-pong handover event with terrestrial based network equipment situated within a defined geographic area; and transmitting instructions to the aerial user equipment to confirm the ping-pong handover event, wherein the instruction comprises a delay value representing a back off time value for the aerial user equipment to refrain from gathering measurement data within the defined geographic area.

Abstract: The described technology is generally directed towards intelligent dual-connectivity for non-standalone network nodes. Network nodes can report state information to a central controller, such as a radio access network intelligent controller. The controller can determine, based on the state information reported by multiple network nodes, network nodes to cooperate in non-standalone mode. The controller can provide the network nodes with instructions to implement the controller's non-standalone relationship determinations.

Abstract: A device includes a processor and a memory. The processor effectuates operations including receiving an origination location and a destination location. The processor further effectuates operations including generating a coverage map comprising a plurality of coverage areas and one or more coverage overlaps based on the origination location and the destination location. The processor further effectuates operations including determining one or more anchor base stations using the coverage map. The processor further effectuates operations including determining a flight plan comprising a flight route and one or more flight rules used to travel from the origination location to the destination location. The processor further effectuates operations including transmitting the flight plan to one or more unmanned aerial vehicles (UAVs).

Abstract: In multicarrier networks mobile devices can be distributed amongst carriers based on different criteria. However, prioritization may cause certain devices to end up on a carrier that is not optimal for the network. When there is a deployment of different types of cells (e.g., macro cells, small cells, etc.), the cells can use the same frequency. Consequently, a priority value contained within a system information broadcast message can override the mobile default cell transition procedures and thus select a neighboring cell based on additional criteria. Thus, small cells can be deployed to offload traffic from macro cells in spite of the small cells and macro cells operating in the same frequency band.

Abstract: The described technology is generally directed towards automated cell parameter updates in cellular networks. A network automation platform architecture is disclosed which includes elements configured to automatically analyze, recalculate, and deploy cell parameters such as PCI and RSI parameters, for cells of a cellular communication network.

Abstract: Aspects of the subject disclosure may include, for example, detecting a first wireless signal associated with a first communication device that interferes with a second wireless signal associated with a second communication device. Further embodiments include identifying a first frequency band in which the first wireless signal is assigned, the first frequency band associated with a first mobile network, and identifying a second frequency band in which the second wireless signal is assigned, the second frequency band associated with a second mobile network. Additional embodiments can include detecting the first wireless signal is above a first power threshold, and providing instructions to a base station associated with the first communication device. The instructions indicate the base station to assign first wireless signal associated with the first communication device from the first frequency band to a third frequency band associated with the first mobile network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, for a plurality of dual connectivity mobile communication devices that are in communication range of a first access point that uses a first radio access technology and a second access point that uses a second radio access technology, a plurality of network communication parameters, the first radio access technology being a different radio access technology than the second radio access technology; obtaining a list of a plurality of configurations, each configuration identifying one or more time slots in which the first radio access technology is to be used and one or more other time slots in which the second radio access technology is to be used; selecting, from the list, a respective configuration to apply to each of the plurality of dual connectivity mobile communication devices, a first configuration that is selected being selected based at least in part upon one or more first network communication parameters, a second configuration that

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system of a first network element receives information indicating that a user equipment (UE) support dual connectivity with first and second inter-radio access technologies (IRATs). The UE is enabled to communicate with a second network element using the second IRAT. The system provides to the UE uplink power configurations for data transmissions between the UE and the network elements, and performs a closed loop control procedure that includes determining a first transmit power control (TPC) value for first data transmissions from the UE and a second TPC value for second data transmissions from the UE, and adjusting the first TPC value and the second TPC value to allocate UE uplink transmission power between the first IRAT and the second IRAT. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards automated cell parameter updates in cellular networks. A network automation platform architecture is disclosed which includes elements configured to automatically analyze, recalculate, and deploy cell parameters such as PCI and RSI parameters, for cells of a cellular communication network.

Abstract: A method includes registering, by a primary cell site processor, an unmanned aerial vehicle, receiving, by the primary cell site processor, a list of one or more potential secondary cell sites from the unmanned aerial vehicle, timing advances associated with the one or more secondary cell sites, deriving, by the primary cell site processor, a number of component carriers within each of the one or more potential secondary cell sites, selecting, by the primary cell site processor, one or more secondary cell sites from the one or more potential secondary cell sites, and transmitting, by the primary cell site processor, instructions to the one or more secondary cell sites to provide a component carrier to the unmanned aerial vehicle.

Abstract: In multicarrier networks mobile devices can be distributed amongst carriers based on different criteria. However, prioritization may cause certain devices to end up on a carrier that is not optimal for the network. When there is a deployment of different types of cells (e.g., macro cells, small cells, etc.), the cells can use the same frequency. Consequently, a priority value contained within a system information broadcast message can override the mobile default cell transition procedures and thus select a neighboring cell based on additional criteria. Thus, small cells can be deployed to offload traffic from macro cells in spite of the small cells and macro cells operating in the same frequency band.

Abstract: Facilitating model-driven automated cell allocation in advanced networks (e.g., 5G and beyond) is provided herein. Operations of a method can comprise determining, by a system comprising a processor, a solution to an integer programming problem based on input data associated with a network inventory and configuration data for network devices of a group of network devices included in a communications network. Also, the method can comprise determining, by the system, respective cell identities and respective root sequence index assignments for the network devices. Further, the method can comprise implementing, by the system, a deployment of the respective cell identities and respective root sequence index assignments at the network devices.