Impact of Multi-Antenna on the Performance of the Ad-Hoc WLAN in a Slow Rayleigh Fading Channel. - Vahid Pourahmadi; Seyed Hamaidreza Jamali; Reza Safavi-Naieeni (VTC Spring, 2006)

Effects of Multi-Antenna Techniques on the IEEE 802.11b Throughput in a Slow Rayleigh Fading Channel. - Vahid Pourahmadi; Seyed Hamaidreza Jamali; Mohsen Shiva; Reza Safavi-Naieeni (VTC Fall, 2006)

On the optimal design of two-tier wireless relay networks. - Vahid Pourahmadi; Shervan Fashandi; Aladdin Saleh; Amir K. Khandani (MSWiM, 2008)

Infinite-layer codes for single-user slowly fading MIMO channels. - Vahid Pourahmadi; Abolfazl S. Motahari; Amir K. Khandani (ISIT, 2009)

Multilevel Coding over Two-Hop Single-User Networks - Vahid Pourahmadi; Alireza Bayesteh; Amir K. Khandani (CoRR, 2009)

On the Accuracy of Channel Modeling Based on the Kronecker Product. - Vahid Pourahmadi; Farzaneh Kohandani; Amin Mobasher (VTC Fall, 2010)

Degrees of freedom of two-user MIMO networks with random medium access control mechanism. - Vahid Pourahmadi; Abolfazl S. Motahari; Amir K. Khandani (ISIT, 2011)

Relay Placement in Wireless Networks: A Study of the Underlying Tradeoffs. - Vahid Pourahmadi; Shervan Fashandi; Aladdin Saleh; Amir K. Khandani (IEEE Trans. Wirel. Commun., 2011)

On the Optimal Transmission Strategies for Sources without Channel State Information. - Vahid Pourahmadi (2011)

Indoor positioning and distance-aware graph-based semi-supervised learning method. - Vahid Pourahmadi; Shahrokh Valaee (GLOBECOM, 2012)

Multilayer Coding Over Multihop Single-User Networks. - Vahid Pourahmadi; Alireza Bayesteh; Amir K. Khandani (IEEE Trans. Inf. Theory, 2012)

Multilayer Codes for Broadcasting over Quasi-Static Fading MIMO Networks. - Vahid Pourahmadi; Abolfazl S. Motahari; Amir K. Khandani (IEEE Trans. Commun., 2013)

Degrees of Freedom of MIMO-MAC with Random Access. - Vahid Pourahmadi; Abolfazl S. Motahari; Amir K. Khandani (IEEE Trans. Commun., 2013)

DeepPos: Deep Supervised Autoencoder Network for CSI Based Indoor Localization. - Peyman Yazdanian; Vahid Pourahmadi (CoRR, 2018)

Deep Neural Networks Meet CSI-Based Authentication. - Amirhossein Yazdani Abyaneh; Ali Hosein Gharari Foumani; Vahid Pourahmadi (CoRR, 2018)

Deep UL2DL: Channel Knowledge Transfer from Uplink to Downlink. - Mohammad Sadegh Safari; Vahid Pourahmadi (CoRR, 2018)

Graph-based iterative measurement-denoising and radio-map generation for semi-supervised indoor localisation. - Maryam Fallah; Vahid Pourahmadi (IET Commun., 2018)

Propagation Channel Modeling by Deep learning Techniques. - Shirin Seyedsalehi; Vahid Pourahmadi; Hamid Sheikhzadeh; Ali Hossein Gharari Foumani (CoRR, 2019)

SensorDrop: A Reinforcement Learning Framework for Communication Overhead Reduction on the Edge. - Pooya Khandel; Amir Hossein Rassafi; Vahid Pourahmadi; Saeed Sharifian; Rong Zheng (CoRR, 2019)

Opportunistic multiple access (OMA) for crowdsensing networks with sparse activation. - Seyede Nazanin Moosavi; Vahid Pourahmadi (Trans. Emerg. Telecommun. Technol., 2019)

Deep Learning-Based Channel Estimation. - Mehran Soltani; Vahid Pourahmadi; Ali Mirzaei; Hamid Sheikhzadeh (IEEE Commun. Lett., 2019)

Time-based Anomaly Detection using Autoencoder. - Mohammad A. Salahuddin 001; Md. Faizul Bari; Hyame Assem Alameddine; Vahid Pourahmadi; Raouf Boutaba (CNSM, 2020)

Wi2Vi: Generating Video Frames from WiFi CSI Samples. - Mohammad Hadi Kefayati; Vahid Pourahmadi; Hassan Aghaeinia (CoRR, 2020)

Sleep Stage Scoring Using Joint Frequency-Temporal and Unsupervised Features. - Mohamadreza Jafaryani; Saeed Khorram; Vahid Pourahmadi; Minoo Shahbazi (CoRR, 2020)

CSI-based authentication: Extracting stable features using deep neural networks. - Amirhossein Yazdani Abyaneh; Vahid Pourahmadi; Ali Hosein Gharari Foumani (Trans. Emerg. Telecommun. Technol., 2020)

Bayesian Reinforcement Learning for Link-Level Throughput Maximization. - Hesam Khoshkbari; Vahid Pourahmadi; Hamid Sheikhzadeh (IEEE Commun. Lett., 2020)

Link-Level Throughput Maximization Using Deep Reinforcement Learning. - Saeed Jamshidiha; Vahid Pourahmadi; Abbas Mohammadi 002; Mehdi Bennis (IEEE Netw. Lett., 2020)

Deep feature selection using a teacher-student network. - Ali Mirzaei; Vahid Pourahmadi; Mehran Soltani; Hamid Sheikhzadeh (Neurocomputing, 2020)

Pilot Pattern Design for Deep Learning-Based Channel Estimation in OFDM Systems. - Mehran Soltani; Vahid Pourahmadi; Hamid Sheikhzadeh (IEEE Wirel. Commun. Lett., 2020)

Deep-Reinforcement Learning for Fair Distributed Dynamic Spectrum Access in Wireless Networks. - Siavash Barqi Janiar; Vahid Pourahmadi (CCNC, 2021)

Language mapping functions: Improving softmax estimation and word embedding quality. - Emad Rangriz; Vahid Pourahmadi (Concurr. Comput. Pract. Exp., 2021)

Progressive Transmission using Recurrent Neural Networks. - Mohammad Sadegh Safari; Vahid Pourahmadi; Patrick Mitran; Hamid Sheikhzadeh (CoRR, 2021)

Link Activation Using Variational Graph Autoencoders. - Saeed Jamshidiha; Vahid Pourahmadi; Abbas Mohammadi 002; Mehdi Bennis (IEEE Commun. Lett., 2021)

Deep-reinforcement learning for fair distributed dynamic spectrum access in priority buffered heterogeneous wireless networks. - Siavash Barqi Janiar; Vahid Pourahmadi (IET Commun., 2021)

Two Novel Algorithms for Low-Rank Matrix Completion Problem. - Hamid Fathi; Emad Rangriz; Vahid Pourahmadi (IEEE Signal Process. Lett., 2021)

Parallel voice conversion with limited training data using stochastic variational deep kernel learning. - Mohamadreza Jafaryani; Hamid Sheikhzadeh; Vahid Pourahmadi (Eng. Appl. Artif. Intell., 2022)

Multi-view WiFi imaging. - Mohammad Hadi Kefayati; Vahid Pourahmadi; Hassan Aghaeinia (Signal Process., 2022)

Chronos: DDoS Attack Detection Using Time-Based Autoencoder. - Mohammad A. Salahuddin 001; Vahid Pourahmadi; Hyame Assem Alameddine; Md. Faizul Bari; Raouf Boutaba (IEEE Trans. Netw. Serv. Manag., 2022)

Fast Classification with Sequential Feature Selection in Test Phase. - Ali Mirzaei; Vahid Pourahmadi; Hamid Sheikhzadeh; Alireza Abdollahpourrostam (CoRR, 2023)

Parallel and Limited Data Voice Conversion Using Stochastic Variational Deep Kernel Learning. - Mohamadreza Jafaryani; Hamid Sheikhzadeh; Vahid Pourahmadi (CoRR, 2023)

Spotting Anomalies at the Edge: Outlier Exposure-Based Cross-Silo Federated Learning for DDoS Detection. - Vahid Pourahmadi; Hyame Assem Alameddine; Mohammad Ali Salahuddin 001; Raouf Boutaba (IEEE Trans. Dependable Secur. Comput., 2023)

A machine learning multi-hop physical layer authentication with hardware impairments. - Zahra Ezzati Khatab; Abbas Mohammadi 002; Vahid Pourahmadi; Ali Kuhestani 001 (Wirel. Networks, 2024)

A machine learning-based physical layer authentication with phase impairments. - Zahra Ezzati Khatab; Abbas Mohammadi 002; Vahid Pourahmadi; Ali Kuhestani 001 (Phys. Commun., 2025)

Power allocation using spatio-temporal graph neural networks and reinforcement learning. - Saeed Jamshidiha; Vahid Pourahmadi; Abbas Mohammadi 002; Mehdi Bennis (Wirel. Networks, 2025)

OFAL: An Oracle-Free Active Learning Framework. - Hadi Khorsand; Vahid Pourahmadi (CoRR, 2025)

A Traffic-Aware Graph Neural Network for User Association in Cellular Networks. - Saeed Jamshidiha; Vahid Pourahmadi; Abbas Mohammadi 002 (IEEE Trans. Mob. Comput., 2025)