8 citations · 14 across the 6 of their papers we have counts for
7 papers
Multi-Block Attention for Efficient Channel Estimation in IRS-Assisted mmWave MIMO
Mehrdad Momen-Tayefeh, Mehrshad Momen-Tayefeh, Maryam Sabbaghian
Intelligent Reflecting Surfaces (IRSs) are a promising technology for enhancing the spectral and energy efficiency of millimeter-wave (mmWave) multiple-input multiple-output (MIMO)…
RL-Based Hyperparameter Selection for Spectrum Sensing With CNNs
Amir Mehrabian, Maryam Sabbaghian, Halim Yanikomeroglu
Selection of hyperparameters in deep neural networks is a challenging problem due to the wide search space and emergence of various layers with specific hyperparameters. There exis…
Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors
Mohammad Ali Vahedifar, Azim Akhtarshenas, Mohammad Mohammadi Rafatpanah +1
The K-Nearest Neighbors (KNN) algorithm is widely used for classification and regression; however, it suffers from limitations, including the equal treatment of all samples. We pro…
Self Interference Management in In-Band Full-Duplex Systems
Hossein Mohammadi, Maryam Sabbaghian, Vuk Marojevic
The evolution of wireless systems has led to a continuous increase in the demand for radio frequency spectrum. To address this issue, a technology that has received a lot of attent…
No Cross-Validation Required: An Analytical Framework for Regularized Mixed-Integer Problems (Extended Version)
Behrad Soleimani, Behzad Khamidehi, Maryam Sabbaghian
This paper develops a method to obtain the optimal value for the regularization coefficient in a general mixed-integer problem (MIP). This approach eliminates the cross-validation…
Q-Learning Based Aerial Base Station Placement for Fairness Enhancement in Mobile Networks
Rozhina Ghanavi, Maryam Sabbaghian, Halim Yanikomeroglu
In this paper, we use an aerial base station (aerial-BS) to enhance fairness in a dynamic environment with user mobility. The problem of optimally placing the aerial-BS is a non-de…
Efficient 3D Aerial Base Station Placement Considering Users Mobility by Reinforcement Learning
Rozhina Ghanavi, Elham Kalantari, Maryam Sabbaghian +2
This paper considers an aerial base station (aerial-BS) assisted terrestrial network where user mobility is taken into account. User movement changes the network dynamically which…