
ALLINONE: More energy efficiency in wireless networks
February 1, 2020
Dual connectivity to improve network access speed
February 1, 202001/02/2020
The Wireless Networks Group (WNG) has worked on a data modulation method. This technology enables communication from a Standard WiFi device to IoT devices that are non-WiFi, through a simple software update. A new WiFi transmitter has been designed to generate radio signals that the receiving IOT devices can “understand”. The technology enables a new use of the functions and signals that are already present in WiFi transmitters.
The project lasted four years (2016–2020) and had a budget of 204,853 euros.
This technology has resulted in a patent.


Technology
Topic
You want to know more?
Related Projects
- The Centre for Industrial Equipment Design (CDEI) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC), together with the IRI, Institut de Robòtica i Informàtica Industrial (CSIC-UPC), is participating in the development of a pre-commercial prototype of an automatic portable sawmill that integrates computer vision, artificial intelligence and computer numerical control to improve productivity, efficiency and safety in local wood processing for the company Envall Coop. S.L.
STOR-HY: More flexible, efficient and resilient hydropower storage for the European electricity grid
The Center for Industrial Diagnostics (CDIF) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) coordinates the European STOR-HY project, which develops digital tools, monitoring systems and advanced models to optimise the operation of pumped-storage hydropower plants and reduce their investment and maintenance costs.- The Advanced Network Architectures Lab (CRAAX) at the Universitat Politècnica de Catalunya - BarcelonaTech (UPC) is participating in the ACCOMPLISH project, which is developing an innovative AI-based compliance and certification framework to simplify, integrate and automate compliance in operations, assets, solutions and organisational processes related to data and artificial intelligence.
- Un equip de recerca de la UPC, integrat pel CommSensLab-UPC i el Remote Sensing Lab (RSLAB) de la Universitat Politècnica de Catalunya - BarcelonaTech (UPC), juntament amb l’Institut d’Estudis Espacials de Catalunya (IEEC), ha participat en el projecte AI4EO, amb l’objectiu d’impulsar solucions i posar en pràctica eines d’intel·ligència artificial aplicades a dades d’observació de la Terra en diversos casos d’ús sobre el territori català.




