21 citations · 21 across the 2 of their papers we have counts for
5 papers
Generative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation
Hojjat Navidan, Parisa Fard Moshiri, Mohammad Nabati +4
Despite the recency of their conception, Generative Adversarial Networks (GANs) constitute an extensively researched machine learning sub-field for the creation of synthetic data t…
Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach
Mohammad Nabati, Hojjat Navidan, Reza Shahbazian +2
Human-centered data collection is typically costly and implicates issues of privacy. Various solutions have been proposed in the literature to reduce this cost, such as crowdsource…
Using GAN to Enhance the Accuracy of Indoor Human Activity Recognition
Parisa Fard Moshiri, Hojjat Navidan, Reza Shahbazian +2
Indoor human activity recognition (HAR) explores the correlation between human body movements and the reflected WiFi signals to classify different activities. By analyzing WiFi sig…
Delay Analysis in Full-Duplex Heterogeneous Cellular Networks
Leila Marandi, Mansour Naslcheraghi, Seyed Ali Ghorashi +1
Heterogeneous networks (HetNets) as a combination of macro cells and small cells are used to increase the cellular network's capacity, and present a perfect solution for high-speed…
Performance Analysis of Inband FD-D2D Communications with Imperfect SI Cancellation for Wireless Video Distribution
Mansour Naslcheraghi, Seyed Ali Ghorashi, Mohammad Shikh-Bahaei
Tremendous growing demand for high data rate services is the main driver for increasing traffic in wireless cellular networks. Device-to-Device (D2D) communications have recently b…