Abstract: Methods and systems for localization within an environment include determining a topology estimate of nodes located in a dynamic indoor environment, based on distances measured between the nodes. Rigid k-core sub-graphs of the topology estimate are generated to determine relative localizations of the nodes. Relative localizations are transformed into absolute localizations to generate a map of positions of the nodes within the environment. A feature of the map is deployed to a device in the environment.

Abstract: Aspects of the present disclosure describe systems, methods, and structures infrastructure-free RF tracking in dynamic indoor environments.

Abstract: Systems and methods for localizing and tracking mobile objects are provided. A method includes determining an initial location of a node in a multi-hop network based on multi-lateration from an unmanned aerial vehicle. The method also includes applying an adaptive aperture to address a non-uniform velocity of the node based on the turn and a velocity vector. A determination whether localization for the node can be implemented using first hop nodes in the multi-hop network is made. In response to a determination that localization cannot be implemented using the first hop nodes, inertial sensor measurements associated with the node are accessed and the inertial sensor measurements are integrated with the adaptive aperture to improve localization accuracy.

Abstract: Methods and systems for localization within an environment include determining a topology estimate of nodes located in a dynamic indoor environment, based on distances measured between the nodes. Rigid k-core sub-graphs of the topology estimate are generated to determine relative localizations of the nodes. Relative localizations are transformed into absolute localizations to generate a map of positions of the nodes within the environment. A feature of the map is deployed to a device in the environment.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.

Abstract: Systems and methods for localizing and tracking mobile objects are provided. The method includes determining an initial location of a node based on multi-lateration from an unmanned aerial vehicle and determining a velocity vector associated with the node based on multi-lateration. The method also includes detecting when the node turns. An adaptive aperture is applied to address a non-uniform velocity of the node based on the turn and the velocity vector.

Abstract: A computer-implemented method, system, and computer program product are provided for positioning an unmanned autonomous vehicle (UAV) in a long term evolution radio access network. The method includes acquiring, by a processor-device, a position of the UAV with a global position system. The method also includes determining, by the processor-device, physical distances from the UAV to each of a plurality of user equipment (UE) responsive to a time-of-flight from the UAV to each of the plurality of UE. The method additionally includes generating, by the processor-device, radio environment maps for each of the plurality of UE with signal-to-noise ratios (SNR) from each of the plurality of UEs to the UAV. The method further includes selecting, by the processor-device, a determined position for the UAV as a position with a minimum SNR in the REMs. The method also includes commanding the UAV to move to the determined position.

Abstract: Aspects of the present disclosure describe systems, methods, and structures infrastructure-free RF tracking in dynamic indoor environments.

Abstract: Systems and methods for localizing and tracking mobile objects are provided. The method includes determining an initial location of a node based on multi-lateration from an unmanned aerial vehicle and determining a velocity vector associated with the node based on multi-lateration. The method also includes detecting when the node turns. An adaptive aperture is applied to address a non-uniform velocity of the node based on the turn and the velocity vector.

Abstract: Systems and methods for localizing and tracking mobile objects are provided. A method includes determining an initial location of a node in a multi-hop network based on multi-lateration from an unmanned aerial vehicle. The method also includes applying an adaptive aperture to address a non-uniform velocity of the node based on the turn and a velocity vector. A determination whether localization for the node can be implemented using first hop nodes in the multi-hop network is made. In response to a determination that localization cannot be implemented using the first hop nodes, inertial sensor measurements associated with the node are accessed and the inertial sensor measurements are integrated with the adaptive aperture to improve localization accuracy.

Abstract: A system for implementing a wireless communication network is provided. The system includes a plurality of unmanned aerial vehicles (UAVs) forming a wireless multi-hop mesh network constituting a backhaul. A given one of the UAVs includes a radio access network (RAN) agent configured to determine at least one UAV configuration for optimized coverage of one or more user equipment (UE) devices in a terrestrial zone, a haul agent configured to coordinate an optimization of the backhaul based at least in part on the at least one UAV configuration determined by the RAN agent, and a core agent configured to implement a distributed core architecture among the plurality of UAVs. The system further includes a controller configured to control the plurality of UAVs based on information received from at least one of the agents.

Abstract: A computer-implemented method, system, and computer program product are provided for positioning an unmanned autonomous vehicle (UAV) in a long term evolution radio access network. The method includes acquiring, by a processor-device, a position of the UAV with a global position system. The method also includes determining, by the processor-device, physical distances from the UAV to each of a plurality of user equipment (UE) responsive to a time-of-flight from the UAV to each of the plurality of UE. The method additionally includes generating, by the processor-device, radio environment maps for each of the plurality of UE with signal-to-noise ratios (SNR) from each of the plurality of UEs to the UAV. The method further includes selecting, by the processor-device, a determined position for the UAV as a position with a minimum SNR in the REMs. The method also includes commanding the UAV to move to the determined position.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.

Abstract: A system for implementing a wireless communication network is provided. The system includes a plurality of unmanned aerial vehicles (UAVs) forming a wireless multi-hop mesh network constituting a backhaul. A given one of the UAVs includes a radio access network (RAN) agent configured to determine at least one UAV configuration for optimized coverage of one or more user equipment (UE) devices in a terrestrial zone, a haul agent configured to coordinate an optimization of the backhaul based at least in part on the at least one UAV configuration determined by the RAN agent, and a core agent configured to implement a distributed core architecture among the plurality of UAVs. The system further includes a controller configured to control the plurality of UAVs based on information received from at least one of the agents.

Abstract: An example method of operating a network may include determining whether a flow is to be added to the network based on: a flow type of the flow, a link condition of the flow, and for each possible combination of flow type and link condition out of multiple flow types and multiple link conditions, the number of flows currently carried on the network that correspond to the respective combination.