8 papers
LB-OPAR: Load Balanced Optimized Predictive and Adaptive Routing for Cooperative UAV Networks
Mohammed Gharib, Fatemeh Afghah, Elizabeth Serena Bentley
Cooperative ad-hoc UAV networks have been turning into the primary solution set for situations where establishing a communication infrastructure is not feasible. Search-and-rescue…
UAV-Assisted Communication in Remote Disaster Areas using Imitation Learning
Alireza Shamsoshoara, Fatemeh Afghah, Erik Blasch +2
The damage to cellular towers during natural and man-made disasters can disturb the communication services for cellular users. One solution to the problem is using unmanned aerial…
Fully-echoed Q-routing with Simulated Annealing Inference for Flying Adhoc Networks
Arnau Rovira-Sugranes, Fatemeh Afghah, Junsuo Qu +1
Current networking protocols deem inefficient in accommodating the two key challenges of Unmanned Aerial Vehicle (UAV) networks, namely the network connectivity loss and energy lim…
Inverse Feature Learning: Feature learning based on Representation Learning of Error
Behzad Ghazanfari, Fatemeh Afghah, MohammadTaghi Hajiaghayi
This paper proposes inverse feature learning as a novel supervised feature learning technique that learns a set of high-level features for classification based on an error represen…
An Autonomous Spectrum Management Scheme for Unmanned Aerial Vehicle Networks in Disaster Relief Operations
Alireza Shamsoshoara, Fatemeh Afghah, Abolfazl Razi +3
This paper studies the problem of spectrum shortage in an unmanned aerial vehicle (UAV) network during critical missions such as wildfire monitoring, search and rescue, and disaste…
Optimal Relaying Beamforming in Multiple Access Broadcast Channel (MABC) Bidirectional Cognitive Radio Networks in Presence of Interferers
Mohammad Zaeri-Amirani, Fatemeh Afghah, Jonathan Ashdown
In this paper, a general cognitive radio system consisting of a set of users with different level of spectrum access including two primary transceivers and several types of seconda…