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Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks
Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Chen-Feng Liu +2
While the notion of age of information (AoI) has recently been proposed for analyzing ultra-reliable low-latency communications (URLLC), most of the existing works have focused on…
Deep Learning for Optimal Deployment of UAVs with Visible Light Communications
Yining Wang, Mingzhe Chen, Zhaohui Yang +2
In this paper, the problem of dynamical deployment of unmanned aerial vehicles (UAVs) equipped with visible light communication (VLC) capabilities for optimizing the energy efficie…
Ultra-Reliable and Low-Latency Vehicular Communication: An Active Learning Approach
Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Mehdi Bennis +1
In this letter, an age of information (AoI)-aware transmission power and resource block (RB) allocation technique for vehicular communication networks is proposed. Due to the highl…
Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
Soheil Rostami, Walid Saad, Choong Seon Hong
Orbital angular momentum (OAM)-encoding has recently emerged as an effective approach for increasing the channel capacity of free-space optical communications. In this paper, OAM-b…
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism
Latif U. Khan, Shashi Raj Pandey, Nguyen H. Tran +4
Recent years have witnessed a rapid proliferation of smart Internet of Things (IoT) devices. IoT devices with intelligence require the use of effective machine learning paradigms.…
Energy Efficient Federated Learning Over Wireless Communication Networks
Zhaohui Yang, Mingzhe Chen, Walid Saad +2
In this paper, the problem of energy efficient transmission and computation resource allocation for federated learning (FL) over wireless communication networks is investigated. In…