Samad Ali

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 61

Top Venues

University of Oulu, Finland (PHD)

Education History

University of Oulu, Finland

PHD

Publications

Mehdi Letafati, Samad Ali, Matti Latva-aho
Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications. WCNC (2024)
Maryam Mohsenivatani, Samad Ali, Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
Graph Representation Learning for Wireless Communications. IEEE Commun. Mag. 62 (1) (2024)
Fahri Wisnu Murti, Samad Ali, George Iosifidis, Matti Latva-aho
Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs. IEEE Trans. Netw. Serv. Manag. 21 (1) (2024)
Mehdi Letafati, Samad Ali, Matti Latva-aho
Denoising Diffusion Probabilistic Models for Hardware-Impaired Communication Systems: Towards Wireless Generative AI. CoRR (2023)
Mehdi Letafati, Samad Ali, Matti Latva-aho
Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models. CoRR (2023)
Mehdi Letafati, Samad Ali, Matti Latva-aho
Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications. CoRR (2023)
Mehdi Letafati, Samad Ali, Matti Latva-aho
WiGenAI: The Symphony of Wireless and Generative AI via Diffusion Models. CoRR (2023)
Maryam Mohsenivatani, Samad Ali, Nandana Rajatheva, Matti Latva-aho
Deep Contextual Bandits Learning-Based Beam Selection for mmWave MIMO Systems. MeditCom (2023)
Fahri Wisnu Murti, Samad Ali, Matti Latva-aho
A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration. CoRR (2023)
Mehdi Letafati, Samad Ali, Matti Latva-aho
Probabilistic Constellation Shaping With Denoising Diffusion Probabilistic Models: A Novel Approach. CoRR (2023)
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho
Deep Reinforcement Learning for Practical Phase-Shift Optimization in RIS-Aided MISO URLLC Systems. IEEE Internet Things J. 10 (10) (2023)
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho
Deep Learning-Based Blind Multiple User Detection for Grant-free SCMA and MUSA Systems. CoRR (2022)
Madhushanka Padmal, Dileepa Marasinghe, Vijitha Isuru, Nalin Jayaweera, Samad Ali, Nandana Rajatheva
Elevated LiDAR based Sensing for 6G - 3D Maps with cm Level Accuracy. VTC Spring (2022)
Fahri Wisnu Murti, Samad Ali, George Iosifidis, Matti Latva-aho
Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs. CoRR (2022)
Ramin Hashemi, Samad Ali, Ehsan Moeen Taghavi, Nurul Huda Mahmood, Matti Latva-aho
Deep Reinforcement Learning for Practical Phase Shift Optimization in RIS-assisted Networks over Short Packet Communications. EuCNC (2022)
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho
Joint Sum Rate and Blocklength Optimization in RIS-Aided Short Packet URLLC Systems. IEEE Commun. Lett. 26 (8) (2022)
Maryam Mohsenivatani, Samad Ali, Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho
Graph Representation Learning for Wireless Communications. CoRR (2022)
Fahri Wisnu Murti, Samad Ali, Matti Latva-aho
Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs. IEEE Trans. Wirel. Commun. 21 (11) (2022)
Samad Ali, Oskari Tervo, Esa Tiirola, Kari Pajukoski, Rauli Jarvela
Removing Power Amplifier Distortions at the Receiver using Deep Learning. VTC Spring (2022)
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho
Joint Sum Rate and Blocklength Optimization in RIS-aided Short Packet URLLC Systems. CoRR (2022)
Fahri Wisnu Murti, Samad Ali, George Iosifidis, Matti Latva-aho
Learning-Based Orchestration for Dynamic Functional Split and Resource Allocation in vRANs. EuCNC (2022)
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho
Terahertz Sensing using Deep Neural Network for Material Identification. ANTS (2022)
Fahri Wisnu Murti, Samad Ali, George Iosifidis, Matti Latva-aho
Learning-Based Orchestration for Dynamic Functional Split and Resource Allocation in vRANs. CoRR (2022)
Sedighe Mirbolouk, Morteza Valizadeh, Mehdi Chehel Amirani, Samad Ali
Relay Selection and Power Allocation for Energy Efficiency Maximization in Hybrid Satellite-UAV Networks With CoMP-NOMA Transmission. IEEE Trans. Veh. Technol. 71 (5) (2022)
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho
Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access. CoRR (2021)
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho
Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access. PIMRC (2021)
Insaf Ismath, K. B. Shashika Manosha, Samad Ali, Nandana Rajatheva, Matti Latva-aho
Deep Contextual Bandits for Fast Initial Access in mmWave Based User-Centric Ultra-Dense Networks. VTC Spring (2021)
Insaf Ismath, Samad Ali, Nandana Rajatheva, Matti Latva-aho
Deep Contextual Bandits for Fast Neighbor-Aided Initial Access in mmWave Cell-Free Networks. IEEE Wirel. Commun. Lett. 10 (12) (2021)
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho
Average Rate and Error Probability Analysis in Short Packet Communications Over RIS-Aided URLLC Systems. IEEE Trans. Veh. Technol. 70 (10) (2021)
Thulitha Senevirathna, Bathiya Thennakoon, Tharindu Sankalpa, Chatura Seneviratne, Samad Ali, Nandana Rajatheva
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks. CoRR (2021)
Qiyang Zhao, Stefano Paris, Teemu Veijalainen, Samad Ali
Hierarchical Multi-Objective Deep Reinforcement Learning for Packet Duplication in Multi-Connectivity for URLLC. EuCNC/6G Summit (2021)
Ramin Hashemi, Mohammad Robat Mili, Samad Ali, Hamzeh Beyranvand, Matti Latva-aho
Investigating Communications Energy Efficiency Tradeoff Between UAV Users and Small-cell Users. PIMRC (2021)
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho
Deep Learning-Based Active User Detection for Grant-free SCMA Systems. CoRR (2021)
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho
Average Rate Analysis of RIS-aided Short Packet Communication in URLLC Systems. ICC Workshops (2021)
Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho
Deep Learning-Based Active User Detection for Grant-free SCMA Systems. PIMRC (2021)
Fahri Wisnu Murti, Samad Ali, Matti Latva-aho
Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs. CoRR (2021)
Fahri Wisnu Murti, Samad Ali, Matti Latva-aho
Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks. ICC Workshops (2021)
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho
Average Rate and Error Probability Analysis in Short Packet Communications over RIS-aided URLLC Systems. CoRR (2021)
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho
Deep Reinforcement Learning for Practical Phase Shift Optimization in RIS-aided MISO URLLC Systems. CoRR (2021)
Fahri Wisnu Murti, Samad Ali, Matti Latva-aho
Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks. CoRR (2021)
Ramin Hashemi, Samad Ali, Nurul Huda Mahmood, Matti Latva-aho
Average Rate Analysis of RIS-aided Short Packet Communication in URLLC Systems. CoRR (2021)
Samad Ali, Walid Saad, Nandana Rajatheva, Kapseok Chang, Daniel Steinbach, Benjamin Sliwa, Christian Wietfeld, Kai Mei, Hamid Shiri, Hans-Jürgen Zepernick, Thi My Chinh Chu, Ijaz Ahmad, Jyrki Huusko, Jaakko Suutala, Shubhangi Bhadauria, Vimal Bhatia, Rangeet Mitra, SaiDhiraj Amuru, Robert Abbas, Baohua Shao, Michele Capobianco, Guanghui Yu, Maëlick Claes, Teemu Karvonen, Mingzhe Chen, Maksym Girnyk, Hassan Malik
6G White Paper on Machine Learning in Wireless Communication Networks. CoRR (2020)
Samad Ali, Aidin Ferdowsi, Walid Saad, Nandana Rajatheva, Jussi Haapola
Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications. IEEE Trans. Commun. 68 (8) (2020)
Insaf Ismath, K. B. Shashika Manosha, Samad Ali, Nandana Rajatheva, Matti Latva-aho
Deep Reinforcement Learning Based Fast Initial Access For mmWave Based User-centric Systems. CoRR (2020)
Thulitha Senevirathna, Bathiya Thennakoon, Tharindu Sankalpa, Chatura Seneviratne, Samad Ali, Nandana Rajatheva
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks. GLOBECOM (2020)
Samad Ali, Hossein Asgharimoghaddam, Nandana Rajatheva, Walid Saad, Jussi Haapola
Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems. IEEE Trans. Commun. 68 (2) (2020)
Aidin Ferdowsi, Samad Ali, Walid Saad, Narayan B. Mandayam
Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning. IEEE Trans. Commun. 67 (10) (2019)
Pouya Pourbaba, K. B. Shashika Manosha, Samad Ali, Nandana Rajatheva
Full-Duplex UAV Relay Positioning for Vehicular Communications with Underlay V2V Links. VTC Spring (2019)
Samad Ali, Nandana Rajatheva, Walid Saad
Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities. IEEE Commun. Mag. 57 (3) (2019)
Samad Ali, Hossein Asgharimoghaddam, Nandana Rajatheva, Walid Saad, Jussi Haapola
Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems. CoRR (2019)
Pouya Pourbaba, Samad Ali, K. B. Shashika Manosha, Nandana Rajatheva
Multi-Armed Bandit Learning for Full-Duplex UAV Relay Positioning for Vehicular Communications. ISWCS (2019)
Aidin Ferdowsi, Samad Ali, Walid Saad, Narayan B. Mandayam
Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning. CoRR (2018)
Samad Ali, Aidin Ferdowsi, Walid Saad, Nandana Rajatheva, Jussi Haapola
Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications. CoRR (2018)
Samad Ali, Walid Saad, Nandana Rajatheva
A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction. CoRR (2018)
Jussi Haapola, Samad Ali, Charalampos Kalalas, Juho Markkula, Nandana Rajatheva, Ari Pouttu, Jose Manuel Martin Rapun, Ivan Lalaguna, Francisco Vazquez Gallego, Jesus Alonso-Zarate, Geert Deconinck, Hamada Almasalma, Jianzhong Wu, Chenghua Zhang, Eloisa Porras, Francisco David Gallego
Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators. VTC Spring (2018)
Samad Ali, Walid Saad, Nandana Rajatheva
A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction. IEEE Commun. Lett. 22 (11) (2018)
Samad Ali, Nandana Rajatheva, Walid Saad
Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities. CoRR (2018)
Samad Ali, Aidin Ferdowsi, Walid Saad, Nandana Rajatheva
Sleeping Multi-Armed Bandits for Fast Uplink Grant Allocation in Machine Type Communications. GLOBECOM Workshops (2018)
Samad Ali, Nandana Rajatheva
Opportunistic Scheduling of Machine Type Communications as Underlay to Cellular Networks. CoRR (2017)
Samad Ali, Nandana Rajatheva
Opportunistic Scheduling of Machine Type Communications as Underlay to Cellular Networks. VTC Fall (2017)
Gábor Fodor, Sandra Roger, Nandana Rajatheva, Slimane Ben Slimane, Tommy Svensson, Petar Popovski, Jose Mairton B. da Silva Jr., Samad Ali
An Overview of Device-to-Device Communications Technology Components in METIS. IEEE Access 4 (2016)
Samad Ali, Nandana Rajatheva, Matti Latva-aho
Effect of interference of full-duplex transmissions in underlay device-to-device communication. CWIT (2015)
Samad Ali, Nandana Rajatheva, Matti Latva-aho
Full duplex device-to-device communication in cellular networks. EuCNC (2014)
Samad Ali, Amin Ghazanfari, Nandana Rajatheva, Matti Latva-aho
Effect of Residual of Self-Interference in Performance of Full-Duplex D2D Communication. 5GU (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Samad Ali