Abstract: A method for assessing viability of a WiFi fine tune measurement (FTM) based ranging protocol for enterprise-grade localization with heterogeneity across operational parameters is presented. The method includes enabling a plurality of access points to range with a plurality mobile devices handled by a plurality of users within an enterprise environment, tracking a mobile device of the plurality of mobile devices using onboard sensors as the mobile device travels within the enterprise environment, measuring a plurality of ranges with at least three access points of the plurality of access points at various points along a trajectory, and combining information related to the plurality of ranges and the trajectory to predict a range offset of the mobile device such that the mobile device itself self-calibrates all its range offsets on-demand.

Abstract: A computer-implemented method for identifying a device position is provided. The method includes synchronizing a clock between a first device and a second device to obtain a synchronized clock. The method further includes measuring a round-trip time of flight between an antenna from the first device and an antenna from the second device based on the synchronized clock. The method also includes estimating a relative angular position of the second device with respect to the first device based on the round-trip time of flight. The method additionally includes estimating a distance between the first device and the second device based on estimated round-trip time of flight. The method further includes estimating, by the first device, a position of the second device with respect to a known coordinate based on the relative angular position and the distance.

Abstract: Methods and systems for determining a device position include determining a first position estimate using radio-based range information. A second position estimate is determined using visual odometry information. The first position estimate and the second position estimate are fused based on radio environmental conditions and visual environmental conditions to determine a final position estimate. Resources are deployed based on the final position estimate.

Abstract: Methods and systems for identifying device positions include measuring radio signal strength information between devices. Inertial information is measured for the devices. The radio signal strength information and the inertial information are fused to determine relative locations between the devices. The relative locations are oriented to a fixed anchor node. Elevation is estimated for the plurality of devices using pressure sensor information.

Abstract: Systems and methods implementing a multi-unmanned aerial vehicle (UAV) wireless communication network are provided. The system includes application UAVs that wirelessly provide applications. The system includes relay UAVs that connect the application UAVs to a ground station. The ground station connects to a wireless backhaul network. Processor devices determine mobility for the application UAVs based on application-specific objectives. The processor devices also determine mobility for the relay UAVs based on forming and maintaining the wireless backhaul network.

Abstract: Systems and methods implementing a multi-unmanned aerial vehicle (UAV) wireless communication network are provided. The system includes application UAVs that wirelessly provide applications. The system includes relay UAVs that connect the application UAVs to a ground station. The ground station connects to a wireless backhaul network. Processor devices determine mobility for the application UAVs based on application-specific objectives. The processor devices also determine mobility for the relay UAVs based on forming and maintaining the wireless backhaul network.

Abstract: A computer-implemented method executed on a processor for employing an epoch-based approach to estimating interference in an unlicensed spectrum is presented. The method includes enabling communication between a long-term evolution (LTE) evolved node B (eNodeB) and a plurality of clients, detecting and measuring the interference in all existing non-overlapping channels, via the LTE eNodeB, caused by one or more hidden clients of the plurality of clients, collecting interference statistics from all of the plurality of clients across all different channels, and leveraging interference-awareness resulting in channel access performance improvement at a macro-time scale and a micro-time scale.

Abstract: A computer-implemented method executed on a processor for employing an epoch-based approach to estimating interference in an unlicensed spectrum is presented. The method includes enabling communication between a long-term evolution (LTE) evolved node B (eNodeB) and a plurality of clients, detecting and measuring the interference in all existing non-overlapping channels, via the LTE eNodeB, caused by one or more hidden clients of the plurality of clients, collecting interference statistics from all of the plurality of clients across all different channels, and leveraging interference-awareness resulting in channel access performance improvement at a macro-time scale and a micro-time scale.

Abstract: A computer-implemented method for dynamic provisioning of Wi-Fi capacity in areas using a centralized radio access network (C-RAN) architecture is presented. The computer-implemented method includes introducing a set of access points (APs) in a network for providing capacity required to serve a plurality of users accessing heterogeneous content, introducing a set of remote radio heads (RRHs) in the network acting as transmit/receive points, tracking traffic fluctuations, and adapting front-haul configurations at a granularity of epochs, where measurements from previous epochs serve as input to drive current epochs.

Abstract: A computer-implemented method for dynamic provisioning of Wi-Fi capacity in areas using a centralized radio access network (C-RAN) architecture is presented. The computer-implemented method includes introducing a set of access points (APs) in a network for providing capacity required to serve a plurality of users accessing heterogeneous content, introducing a set of remote radio heads (RRHs) in the network acting as transmit/receive points, tracking traffic fluctuations, and adapting front-haul configurations at a granularity of epochs, where measurements from previous epochs serve as input to drive current epochs.