Quantum computing is a promising technology which is able to speed up computation, by several orders of magnitude, with respect to classical systems. In particular, quantum optimization can be employed to solve complex problems in many engineering fields. In this work, it is proposed to use Quantum Annealing (QA) to solve a binary optimization problem to derive an optimal scheduling plan in an Unmanned Aerial Vehicle (UAV)-enabled Internet of Things (IoT) network. Based on specific design criteria, specific problem formulation can be cast, thus providing real-time solutions.
Quantum scheduling optimization for UAV-enabled IoT networks / Vista, F.; Iacovelli, G.; Grieco, L. A.. - (2021), pp. 19-20. (Intervento presentato al convegno 2nd ACM CoNEXT Student Workshop, CoNEXT-SW 2021, co-located with the 17th International Conference on emerging Networking EXperiments and Technologies, CoNEXT 2021 tenutosi a deu nel 2021) [10.1145/3488658.3493783].
Quantum scheduling optimization for UAV-enabled IoT networks
Vista F.;Iacovelli G.;Grieco L. A.
2021-01-01
Abstract
Quantum computing is a promising technology which is able to speed up computation, by several orders of magnitude, with respect to classical systems. In particular, quantum optimization can be employed to solve complex problems in many engineering fields. In this work, it is proposed to use Quantum Annealing (QA) to solve a binary optimization problem to derive an optimal scheduling plan in an Unmanned Aerial Vehicle (UAV)-enabled Internet of Things (IoT) network. Based on specific design criteria, specific problem formulation can be cast, thus providing real-time solutions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
