A server includes a network interface to interface with mobile computing devices operating within a geographical area, with one of the mobile computing devices providing a request for navigation instructions within the defined geographical area. A geo-connectivity analyzer receives cellular network connectivity metrics for the geographical area, with the cellular network connectivity metric values varying within the geographical area. A network connectivity map is generated by the geo-connectivity analyzer based on the varying cellular network connectivity metrics. The network connectivity map includes areas with strong cellular network connectivity metric values and areas with weak cellular network connectivity metric values. A navigation analyzer generates the navigation instructions between the two geo-locations based on the network connectivity map, with the navigation instructions providing a route that is optimized to include the areas with the strong cellular network connectivity metric values.

A server includes a network interface to interface with mobile computing devices operating within a geographical area, with one of the mobile computing devices providing a request for navigation instructions within the defined geographical area. A geo-connectivity analyzer receives cellular network connectivity metrics for the geographical area, with the cellular network connectivity metric values varying within the geographical area. A network connectivity map is generated by the geo-connectivity analyzer based on the varying cellular network connectivity metrics. The network connectivity map includes areas with strong cellular network connectivity metric values and areas with weak cellular network connectivity metric values. A navigation analyzer generates the navigation instructions between the two geo-locations based on the network connectivity map, with the navigation instructions providing a route that is optimized to include the areas with the strong cellular network connectivity metric values.

The present application relates to apparatus, systems, and methods for grouping data records based on entities referenced by the data records. The disclosed grouping mechanism can include determining a pair-wise similarity between a large number of data records, and clustering a subset of the data records based on their pair-wise similarity.

A mesh network includes a source node and non-source nodes. The source node generates geofenced message information defining a geofenced message for one or more non-source nodes within a geofence. The source node transmits the geofenced message information for reception by a non-source node within a communication range of the source node. The non-source node, responsive to receiving the geofenced message information, transmits the geofenced message information for reception by other non-source nodes within a communication range of the non-source node. Based on the location of the non-source node being within the geofence, the non-source node presents the geofenced message. Based on the location of the non-source node being within the geofence, the non-source node does not presents the geofenced message.

A mesh network includes a source node and non-source nodes. The source node generates geofenced message information defining a geofenced message for one or more non-source nodes within a geofence. The source node transmits the geofenced message information for reception by a non-source node within a communication range of the source node. The non-source node, responsive to receiving the geofenced message information, transmits the geofenced message information for reception by other non-source nodes within a communication range of the non-source node. Based on the location of the non-source node being within the geofence, the non-source node presents the geofenced message. Based on the location of the non-source node being within the geofence, the non-source node does not presents the geofenced message.

Embodiments of the present invention relate to systems and methods for automatic identification and optimization of an overshooting cell (102) by receiving a parameter associated with at least one cell having a timing advance with a permissive range of operative user equipment (UE), wherein the parameter comprises a permissive void count threshold; identifying the timing advance as one of an active timing with at least one operative UE and a passive timing advance without at least one UE; determining at least one of a UE count of the operative UE in the active timing advance and a void count in the passive timing advance; identifying the at least one cell as the overshooting cell (102) by comparing at least one of: the UE count with the permissive range of operative UE and the void count with the permissive void count threshold; and modifying at least one transmission parameter of the overshooting cell (102).

Embodiments of the present invention relate to systems and methods for automatic identification and optimization of an overshooting cell (102) by receiving a parameter associated with at least one cell having a timing advance with a permissive range of operative user equipment (UE), wherein the parameter comprises a permissive void count threshold; identifying the timing advance as one of an active timing with at least one operative UE and a passive timing advance without at least one UE; determining at least one of a UE count of the operative UE in the active timing advance and a void count in the passive timing advance; identifying the at least one cell as the overshooting cell (102) by comparing at least one of: the UE count with the permissive range of operative UE and the void count with the permissive void count threshold; and modifying at least one transmission parameter of the overshooting cell (102).

Systems and methods include obtaining data capture at a cell site utilizing any of an Unmanned Aerial Vehicle (UAV), a satellite, a multiple camera apparatus, a telescoping apparatus, and a camera; creating a model of the cell site based on the data capture; processing the model to perform a plurality of measurements; utilizing the plurality of measurements to identify potential Passive Intermodulation (PIM) issues at the cell site; and displaying the identified PIM issues for mitigation thereof.

Systems and methods for controlling coverage in a wireless communications network after a disruption in a control signal provided to a multi-directional antenna are provided. The system may detect that a disruption has occurred in the control signal, causing the antenna to broadcast in a different mode and leading to a change in the coverage area. The change in the coverage area may cause user devices to experience a drop in coverage or to experience interference from multiple, overlapping coverage areas. In embodiments, the system increases or decreases the power provided to the antenna to control the coverage area and/or limit interference, in order to compensate for the disruption.

The present disclosure provides apparatus, systems, and methods for crowdsourcing domain specific intelligence. The disclosed crowdsourcing mechanism can receive domain specific intelligence as a data processing rule module. For example, a data analytics system can request a crowd of software developers to provide a data processing rule module tailored to process a particular type of information from a particular domain. When the data analytics system receives the data processing rule module from one of the software developers for the particular domain, the data analytics system can use the received data processing rule module to process information associated with the particular domain.