Abstract: Facilitating adaptive power spectral density with chromatic spectrum optimization in advanced networks (e.g., 5G, 6G, and beyond) is provided herein. Operations of a method can comprise evaluating, by a system comprising a processor, a capture rate of mobile devices within a radio access network. The capture rate is representative of a quantity of mobile devices using a millimeter wave spectrum of the radio access network. The method also can comprise facilitating, by the system, an adjustment to a power spectral density of the radio access network based on a determination that the capture rate fails to satisfy a target capture rate of mobile devices using the millimeter wave spectrum.

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: 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: 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 dynamically create technology based geofences around defined or definable areas for UE, in particular aerial UE, while ensuring the safe operation of UE. A method can comprise identifying aerial user equipment entering a defined geographic area that is controlled by network equipment, monitoring the aerial user equipment and tracking a trajectory associated with the aerial user equipment in relation to a restricted area included in the defined geographic area, determining that the aerial user equipment is proximate to the restricted area, transmitting to the aerial user equipment, a first customized system information block message comprising data representing a warning message, determining that the aerial user equipment, based on the warning message, has not adapted the trajectory to avoid the restricted area, and transmitting to the aerial user equipment a second customized system information block message comprising data representative of a cell individual offset value.

Abstract: The described technology is generally directed towards inference based neighbor relation configuration. A cell can obtain neighbor cell inference information, and the cell can use the neighbor cell inference information to ascertain identities of its neighbor relations. The neighbor cell inference information can include, e.g., neighbor information available from the cell's neighbors, neighbor information available from cells that share a base station with the cell, neighbor information available from cells that share a spectrum channel with the cell, neighbor information available from cells that share a base station with the cell's neighbors, or other neighbor cell inference information described herein.

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: For carrier's that have a large number of user equipment (UE) devices camped on them, the experience of a user equipment devices that utilize a subscriber prioritization identity (SPID) can be of a lower quality than it would be on another lower priority carrier because of the carrier load. Thus, SPID based UEs can be placed on carriers with the best throughput potential in the uplink. To achieve this, a SPID profile for the SPID based UE can be dynamically changed such the SPID based UE can transition to a carrier of better quality. UE devices are grouped per SPID ranges and each SPID has assigned cell carrier priority. In one embodiment, a system optimization network can monitor and detect UE performance on each cell and determine which cells are underperforming and which cells are performing better than other cells.

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 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: 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: 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: 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: 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: 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: 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.