Tech Transfer

Low-consumption wireless communication system. The method comprises: i) managing the sending from a wireless device of a first type (GW, GWA, GWB) of a wake-up signal to a wireless device of a second type (NA, NB, NC); and ii) activating a data reception/transmission unit (C1, C2) of the wireless device of a second type (NA, NB, NC) by means of a low consumption receiver unit thereof, when the low consumption receiving unit receives the signal to wake up. The method comprises managing, by the wireless device of a first type (GW, GWA, GWB), the wake-up signal, regarding its sending and content, based on previously acquired information associated with the wireless device of a second type (NA, NB, NC). The system is adapted to implement the method of the invention.

Co-ownership with UPC.

System and method for generating data bursts in a computing system that comprises first data storage means (20), for the execution of this procedure in communications of Optical Burst Switching systems. Thus, by means of this system and method, it is possible to generate data bursts from IP packets in a fast and straightforward manner, saving computing time for the process and thereby utilising the communications system’s bandwidth more efficiently.

Co-ownership with UPC.

FAIR ALLOCATION OF WIRELESS RESOURCES Method for allocating wireless network and adaptive video streaming resources that overcome drawbacks and limitations of DASH (Dynamic Adaptive Streaming over HTTP), where, generally, resource optimisation is determined by the user’s device, which does not have a global vision of the network infrastructure. This innovative method employs a network vision and resource allocation that contributes to a higher Quality of Experience.

This patent is granted and protects the DOWI technology.

A method, system, and computer program for estimating the position of a target is provided. The method comprises: receiving positioning-relevant information from a set of nodes that provide coverage to a target coverage area, the set of nodes comprising nodes of a first type and nodes of a second type; receiving cellular radio network measurements from the first type nodes; receiving GNSS satellite measurements from the second type nodes; assembling the received cellular radio network measurements into a distance measurements matrix; removing outliers included in the cellular radio network measurements; combining the cellular radio network measurements and the GNSS satellite measurements into a single vector; executing a weighting approach comprising applying weights to the first type nodes and the second type nodes, collecting all the applied weights, and multiplying the collected weights by the single vector, providing a new vector of weighted measurements; and determining a position of the target based on the new vector of weighted measurements using a multilateration approach.

Co-ownership with ICREA.

A computer-implemented method, system, and computer programs for locating user equipment (UE) using an unmanned aerial vehicle (UAV) is provided. The method comprises directing an unmanned aerial vehicle over a specified region of interest; estimating a distance and angles between at least one user equipment located around the specified region and the unmanned aerial vehicle using a reference signal transmitted by the user equipment and the reference signal received by the unmanned aerial vehicle in a single time interval; calculating an estimated position of the user equipment by defining a coordinate system using the estimated distance and angles; updating and correcting the estimated position of the user equipment using a machine learning algorithm, resulting in an updated and corrected position of the user equipment; and defining a trajectory of the unmanned aerial vehicle that includes the vertical position around the user equipment by executing a prediction trajectory algorithm on the updated and corrected position of the user equipment.Co-ownership with ICREA.