Energieffektiv massiv random access för distribuerade autonoma system i realtid
Forskningsprojekt, 2022
– 2025
To support the Internet-of-Things (IoT) vision of enabling distributed autonomous systems able to operate in real time, we need a new wireless infrastructure, providing connectivity to a massive number of sporadically active and energy-limited devices, which access the wireless medium in an uncoordinated fashion.
Indeed, current wireless systems are provably unable to provide low-latency, energy-efficient communications in the presence of massive uncoordinated interference.To achieve this crucial and timely objective, we will obtain an information-theoretic characterization of the maximum energy efficiency at which quality-of-service targets that are relevant for real-time decision making can be achieved. Guided by the insights provided by this characterization, we will then design novel, low-complexity, massive random-access protocols, able to operate close to the predicted theoretical limits. Our approach involves the following four novel elements: we willexplicitly account, via the use of nonasymptotic tools from information theory, for the small payload size of IoT packets;address practically relevant IoT scenarios, in which the devices have heterogeneous requirements in terms energy efficiency and quality of service;consider new metrics beyond packet error probability, which take into account the value of the information carried by each packet;use techniques from machine learning, to disentangle packet collisions by exploiting commonly-observed traffic patterns.
Deltagare
Giuseppe Durisi (kontakt)
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Alexandre Graell I Amat
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
Finansiering
Vetenskapsrådet (VR)
Projekt-id: 2021-04970
Finansierar Chalmers deltagande under 2022–2025