activity
20202026
most citedGenerative Adversarial Networks (GANs) in Networking: A Comprehensive Survey & Evaluation

132 citations · 246 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI2026

SLA-Aware Traffic Steering in Hybrid TN-NTN 5G Backhaul: A Potential Game Approach

Hojjat Navidan, Delia Rico, Mohammad Cheraghinia +2

The integration of Non-Terrestrial Networks (NTN) with Terrestrial Networks (TN) is a key enabler for resilient 5G-Advanced and future 6G backhaul infrastructures. However, managin…

cs.NI2026

Toward Autonomous O-RAN: A Multi-Scale Agentic AI Framework for Real-Time Network Control and Management

Hojjat Navidan, Mohammad Cheraghinia, Jaron Fontaine +5

Open Radio Access Networks (O-RAN) promise flexible 6G network access through disaggregated, software-driven components and open interfaces, but this programmability also increases…

cs.CR2022★ 22 cited

Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy

Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran +1

The advent of numerous indoor location-based services (LBSs) and the widespread use of many types of mobile devices in indoor environments have resulted in generating a massive amo…

cs.NI2021★ 132 cited

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…

eess.SP2021★ 71 cited

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…

eess.SP2020★ 21 cited

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…