25 citations · 51 across the 9 of their papers we have counts for
9 papers
Self-Supervised Path Planning in UAV-aided Wireless Networks based on Active Inference
Ali Krayani, Khalid Khan, Lucio Marcenaro +2
This paper presents a novel self-supervised path-planning method for UAV-aided networks. First, we employed an optimizer to solve training examples offline and then used the result…
Interactive Bayesian Generative Models for Abnormality Detection in Vehicular Networks
Nobel J. William, Ali Krayani, Lucio Marcenaro +1
The following paper proposes a novel Vehicle-to-Everything (V2X) network abnormality detection scheme based on Bayesian generative models for enhanced network self-awareness functi…
Intelligent Resource Allocation for UAV-Based Cognitive NOMA Networks: An Active Inference Approach
Felix Obite, Ali Krayani, Atm S. Alam +3
Future wireless networks will need to improve adaptive resource allocation and decision-making to handle the increasing number of intelligent devices. Unmanned aerial vehicles (UAV…
Active Inference for Sum Rate Maximization in UAV-Assisted Cognitive NOMA Networks
Felix Obite, Ali Krayani, Atm S. Alam +3
Given the surge in wireless data traffic driven by the emerging Internet of Things (IoT), unmanned aerial vehicles (UAVs), cognitive radio (CR), and non-orthogonal multiple access…
Integrated Sensing and Communication for Joint GPS Spoofing and Jamming Detection in Vehicular V2X Networks
Ali Krayani, Gabriele Barabino, Lucio Marcenaro +1
Vehicle-to-everything (V2X) communication is expected to be a prominent component of the sixth generation (6G) to accomplish intelligent transportation systems (ITS). Autonomous ve…
A Novel Resource Allocation for Anti-jamming in Cognitive-UAVs: an Active Inference Approach
Ali Krayani, Atm S. Alam, Lucio Marcenaro +2
This work proposes a novel resource allocation strategy for anti-jamming in Cognitive Radio using Active Inference (), and a cognitive-UAV is employed as a case study…