Load balancing is facilitated utilizing geographical location and mobility speed. An example method includes receiving, by a first cell device including a processor and associated with a first cell, from a device of devices, information indicative of whether the device has detected cell type information from a second cell device associated with a second cell, wherein at least a portion of the second cell is located within a first boundary of the first cell. The method also includes: determining, by the first cell device, a mobility characteristic of the device, wherein the devices comprise respective mobility characteristics; and selecting, by the first cell device, the device of the devices to associate with the second cell based on the mobility characteristic of the device.

The one disclosure of the present specification proposes a method for managing session. The method may be performed by a session management function, SMF, node and comprise: generating a packet data unit, PDU, session for a user equipment, UE; receiving, from an access and mobility management function, AMF, node, information about the UE; and determining, based on the information, whether to transmit an indication for notifying a user plane function, UPF, node to discard a downlink data for the PDU session of the UE. The determination may be dependent on whether the PDU session corresponds to a first service provided to the UE.

A network controller including processing circuitry may be configured to receive dynamic position information indicative of a three dimensional position of at least one mobile communication node, compare fixed position information indicative of fixed geographic locations of respective access points of a network to the dynamic position information to determine a relative position of the at least one mobile communication node relative to at least one of the access points based on the fixed position information and the dynamic position information, and provide network control instructions to at least one network asset based on the relative position.

Disclosed are a system and method of regulating access to devices that can distract a driver that is operating a motor vehicle based on received Vehicle-to-Everything communications including Vehicle-to-Vehicle and Vehicle-to-Infrastructure information. One example method may include determining a vehicle is approaching a vehicle movement restriction location requiring a vehicle movement restriction, determining an amount of time associated with the vehicle movement restriction, and determining whether a device located inside the vehicle will be made accessible to a user during the vehicle movement restriction based on the amount of time associated with the vehicle movement restriction.

Methods and systems for selecting access networks are disclosed. In one aspects, a mobile terminal includes one or more transceivers configured to selectively connect to the plurality of wireless access networks, and hardware processing circuitry configured to perform operations including obtaining, via one of the plurality of wireless access networks, motion information for one or more other access networks of the plurality of access networks, the motion information indicating motion of one or more connection points; and controlling activation of the one or more transceivers to scan for availability of one or more of the other access networks in dependence on the motion information of the other access networks, wherein the scanning for availability comprises powering up at least one of the one or more transceivers to determine which access networks are present within a proximity of the mobile terminal.

The present disclosure provides improved determinism in systems and methods for wireless communications via real-time visual object tracking using radio, video, and range finding. In one example, a first and a second Access Point (AP) in a constellation in which the APs are positioned at knowns position in the environment, and the APs perform image processing to identify an entity the environment based on captured images and an entity definition. The APs receive, via range finders, ranges between the entity and the first and second APs to determine a location of the entity in the environment. The APs may then create a profile for the entity that includes an entity identifier, the location of the entity, and indicates whether one of the first AP and the second AP is in wireless communication with the entity.

Aspects of the subject disclosure may include, for example, a wireless communication node that receives instructions in a control channel directing it to utilize a spectral segment at a first carrier frequency to communicate with a mobile communication device. Responsive to the instructions, the wireless communication node receives a modulated signal in the spectral segment at a second carrier frequency from the base station, the modulated signal including communications data provided by the base station. The wireless communication node down-shifts the modulated signal at the second carrier frequency to the first carrier frequency, and wirelessly transmits the modulated signal at the first carrier frequency to the mobile communication device. Other embodiments are disclosed.

This application discloses methods for creating self-organizing networks implemented on heterogeneous mesh networks. The self-organizing networks can include a computing cloud component coupled to the heterogeneous mesh network. In the methods and computer-readable mediums disclosed herein, a processor determines if a user equipment (UE) should hand over its service from a base station to a multi-radio access technology (RAT) node, based on heuristics including one or more of: a distance traveled over a time T1, an average speed over a time T2, a destination stored in internal memory within the UE, a speed limit measurement for a nearby road, a possible direction in which the UE could travel, a signal strength measurement for a servicing base station, and a signal strength measurement for the multi-RAT node. A position profile may be used to predict a future location of the UE.

A system accesses a plurality of ratio values for similar AOIs, each ratio value indicating a ratio between a count of device users at a similar AOI and a count of vehicles of the similar AOI. The similar AOIs are AOIs that have measurable characteristics within a range of similarity with those of the target AOI. The count of vehicles of the similar AOI is generated using aerial imagery received for the similar AOI. The count of device users at the similar AOI is extracted from third party data for the similar AOI. The system accesses a count of a number of reported device users at the target AOI, and generates an estimate of the vehicle count for the target AOI using the count of the number of reported device users at the target AOI and a combination of the plurality of ratio values for similar AOIs.

A method comprises receiving an area of interest (AOI) selection. The method further comprises accessing an AOI device location data for the AOI, the AOI device location data indicating locations of devices over time received within the AOI. The AOI device location data is filtered to only include the device location data that match one or more characteristics. A proximity zone is determined for the for the AOI that includes the area of the AOI. A zone device location data for the proximity zone is determined, which indicates locations of devices over time reported within the proximity zone. The method further comprises normalizing the filtered AOI device location data by computing a ratio of the filtered AOI device location data and the zone device location data to generate an AOI user estimate, and transmitting the AOI user estimate to a client device of a requestor.