no code implementations • 5 Jul 2023 • Tengchan Zeng, Aidin Ferdowsi, Omid Semiari, Walid Saad, Choong Seon Hong
For both cases, solutions using the convergence of communication theory, control theory, and machine learning are proposed to enable effective and secure CAV navigation.
no code implementations • 26 Dec 2021 • Tengchan Zeng, Omid Semiari, Walid Saad, Mehdi Bennis
In this paper, to characterize the wireless connectivity performance for UAM, a spatial model is proposed.
no code implementations • 5 Feb 2021 • Tengchan Zeng, Omid Semiari, Mingzhe Chen, Walid Saad, Mehdi Bennis
The results also validate the feasibility of the contract-theoretic incentive mechanism and show that the proposed mechanism can improve the convergence speed of the DFP algorithm by 40% compared to the baselines.
no code implementations • 19 Feb 2020 • Tengchan Zeng, Omid Semiari, Mohammad Mozaffari, Mingzhe Chen, Walid Saad, Mehdi Bennis
Unmanned aerial vehicle (UAV) swarms must exploit machine learning (ML) in order to execute various tasks ranging from coordinated trajectory planning to cooperative target recognition.