Effect of Residual of Self-Interference in Performance of Full-Duplex D2D Communication. - Samad Ali; Amin Ghazanfari; Nandana Rajatheva; Matti Latva-aho (5GU, 2014)

Full duplex device-to-device communication in cellular networks. - Samad Ali; Nandana Rajatheva; Matti Latva-aho (EuCNC, 2014)

Effect of interference of full-duplex transmissions in underlay device-to-device communication. - Samad Ali; Nandana Rajatheva; Matti Latva-aho (CWIT, 2015)

An Overview of Device-to-Device Communications Technology Components in METIS. - Gábor Fodor 001; Sandra Roger 002; Nandana Rajatheva; Slimane Ben Slimane; Tommy Svensson; Petar Popovski; Jose Mairton B. da Silva Jr.; Samad Ali (IEEE Access, 2016)

Opportunistic Scheduling of Machine Type Communications as Underlay to Cellular Networks. - Samad Ali; Nandana Rajatheva (VTC Fall, 2017)

Sleeping Multi-Armed Bandits for Fast Uplink Grant Allocation in Machine Type Communications. - Samad Ali; Aidin Ferdowsi; Walid Saad; Nandana Rajatheva (GLOBECOM Workshops, 2018)

Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators. - Jussi Haapola; Samad Ali; Charalampos Kalalas; Juho Markkula; Nandana Rajatheva; Ari Pouttu; Jose Manuel Martin Rapun; Iván Lalaguna; Francisco Vazquez Gallego; Jesus Alonso-Zarate; Geert Deconinck; Hamada Almasalma; et al. (VTC Spring, 2018)

A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction. - Samad Ali; Walid Saad; Nandana Rajatheva (IEEE Commun. Lett., 2018)

Multi-Armed Bandit Learning for Full-Duplex UAV Relay Positioning for Vehicular Communications. - Pouya Pourbaba; Samad Ali; K. B. Shashika Manosha; Nandana Rajatheva (ISWCS, 2019)

Full-Duplex UAV Relay Positioning for Vehicular Communications with Underlay V2V Links. - Pouya Pourbaba; K. B. Shashika Manosha; Samad Ali; Nandana Rajatheva (VTC Spring, 2019)

Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities. - Samad Ali; Nandana Rajatheva; Walid Saad (IEEE Commun. Mag., 2019)

Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning. - Aidin Ferdowsi; Samad Ali; Walid Saad; Narayan B. Mandayam (IEEE Trans. Commun., 2019)

Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks. - Thulitha Senevirathna; Bathiya Thennakoon; Tharindu Sankalpa; Chatura Seneviratne; Samad Ali; Nandana Rajatheva (GLOBECOM, 2020)

6G White Paper on Machine Learning in Wireless Communication Networks. - 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 001; et al. (CoRR, 2020)

Deep Reinforcement Learning Based Fast Initial Access For mmWave Based User-centric Systems. - Insaf Ismath; K. B. Shashika Manosha; Samad Ali; Nandana Rajatheva; Matti Latva-aho (CoRR, 2020)

Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems. - Samad Ali; Hossein Asgharimoghaddam; Nandana Rajatheva; Walid Saad; Jussi Haapola (IEEE Trans. Commun., 2020)

Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications. - Samad Ali; Aidin Ferdowsi; Walid Saad; Nandana Rajatheva; Jussi Haapola (IEEE Trans. Commun., 2020)

Learning-based predictive resource allocation for machine type communications. - Samad Ali (2020)

Hierarchical Multi-Objective Deep Reinforcement Learning for Packet Duplication in Multi-Connectivity for URLLC. - Qiyang Zhao; Stefano Paris; Teemu Veijalainen; Samad Ali (EuCNC/6G Summit, 2021)

Average Rate Analysis of RIS-aided Short Packet Communication in URLLC Systems. - Ramin Hashemi; Samad Ali; Nurul Huda Mahmood; Matti Latva-aho (ICC Workshops, 2021)

Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks. - Fahri Wisnu Murti; Samad Ali; Matti Latva-aho (ICC Workshops, 2021)

Investigating Communications Energy Efficiency Tradeoff Between UAV Users and Small-cell Users. - Ramin Hashemi; Mohammad Robat Mili; Samad Ali; Hamzeh Beyranvand; Matti Latva-aho (PIMRC, 2021)

Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access. - Thushan Sivalingam; Samad Ali; Nurul Huda Mahmood; Nandana Rajatheva; Matti Latva-aho (PIMRC, 2021)

Deep Learning-Based Active User Detection for Grant-free SCMA Systems. - Thushan Sivalingam; Samad Ali; Nurul Huda Mahmood; Nandana Rajatheva; Matti Latva-aho (PIMRC, 2021)

Deep Contextual Bandits for Fast Initial Access in mmWave Based User-Centric Ultra-Dense Networks. - Insaf Ismath; K. B. Shashika Manosha; Samad Ali; Nandana Rajatheva; Matti Latva-aho (VTC Spring, 2021)

Average Rate and Error Probability Analysis in Short Packet Communications Over RIS-Aided URLLC Systems. - Ramin Hashemi; Samad Ali; Nurul Huda Mahmood; Matti Latva-aho (IEEE Trans. Veh. Technol., 2021)

Deep Contextual Bandits for Fast Neighbor-Aided Initial Access in mmWave Cell-Free Networks. - Insaf Ismath; Samad Ali; Nandana Rajatheva; Matti Latva-aho (IEEE Wirel. Commun. Lett., 2021)

Terahertz Sensing using Deep Neural Network for Material Identification. - Thushan Sivalingam; Samad Ali; Nurul Huda Mahmood; Nandana Rajatheva; Matti Latva-aho (ANTS, 2022)

Deep Reinforcement Learning for Practical Phase Shift Optimization in RIS-assisted Networks over Short Packet Communications. - Ramin Hashemi; Samad Ali; Ehsan Moeen Taghavi; Nurul Huda Mahmood; Matti Latva-aho (EuCNC, 2022)

Learning-Based Orchestration for Dynamic Functional Split and Resource Allocation in vRANs. - Fahri Wisnu Murti; Samad Ali; George Iosifidis; Matti Latva-aho (EuCNC, 2022)

Removing Power Amplifier Distortions at the Receiver using Deep Learning. - Samad Ali; Oskari Tervo; Esa Tiirola; Kari Pajukoski; Rauli Jarvela (VTC Spring, 2022)

Elevated LiDAR based Sensing for 6G - 3D Maps with cm Level Accuracy. - Madhushanka Padmal; Dileepa Marasinghe; Vijitha Isuru; Nalin Jayaweera; Samad Ali; Nandana Rajatheva (VTC Spring, 2022)

Deep Learning-Based Blind Multiple User Detection for Grant-free SCMA and MUSA Systems. - Thushan Sivalingam; Samad Ali; Nurul Huda Mahmood; Nandana Rajatheva; Matti Latva-aho (CoRR, 2022)

Joint Sum Rate and Blocklength Optimization in RIS-Aided Short Packet URLLC Systems. - Ramin Hashemi; Samad Ali; Nurul Huda Mahmood; Matti Latva-aho (IEEE Commun. Lett., 2022)

Relay Selection and Power Allocation for Energy Efficiency Maximization in Hybrid Satellite-UAV Networks With CoMP-NOMA Transmission. - Sedighe Mirbolouk; Morteza Valizadeh; Mehdi Chehel Amirani; Samad Ali (IEEE Trans. Veh. Technol., 2022)

Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs. - Fahri Wisnu Murti; Samad Ali; Matti Latva-aho (IEEE Trans. Wirel. Commun., 2022)

Deep Contextual Bandits Learning-Based Beam Selection for mmWave MIMO Systems. - Maryam Mohsenivatani; Samad Ali; Nandana Rajatheva; Matti Latva-aho (MeditCom, 2023)

Probabilistic Constellation Shaping With Denoising Diffusion Probabilistic Models: A Novel Approach. - Mehdi Letafati; Samad Ali; Matti Latva-aho (CoRR, 2023)

WiGenAI: The Symphony of Wireless and Generative AI via Diffusion Models. - Mehdi Letafati; Samad Ali; Matti Latva-aho (CoRR, 2023)

Denoising Diffusion Probabilistic Models for Hardware-Impaired Communication Systems: Towards Wireless Generative AI. - Mehdi Letafati; Samad Ali; Matti Latva-aho (CoRR, 2023)

Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models. - Mehdi Letafati; Samad Ali; Matti Latva-aho (CoRR, 2023)

Deep Reinforcement Learning for Practical Phase-Shift Optimization in RIS-Aided MISO URLLC Systems. - Ramin Hashemi; Samad Ali; Nurul Huda Mahmood; Matti Latva-aho (IEEE Internet Things J., 2023)

Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications. - Mehdi Letafati; Samad Ali; Matti Latva-aho (WCNC, 2024)

A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration. - Fahri Wisnu Murti; Samad Ali; Matti Latva-aho (IEEE Open J. Commun. Soc., 2024)

Graph Representation Learning for Wireless Communications. - Maryam Mohsenivatani; Samad Ali; Vismika Ranasinghe; Nandana Rajatheva; Matti Latva-aho (IEEE Commun. Mag., 2024)

Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs. - Fahri Wisnu Murti; Samad Ali; George Iosifidis; Matti Latva-aho (IEEE Trans. Netw. Serv. Manag., 2024)

Diffusion Model-Aided Data Reconstruction in Cell-Free Massive MIMO Downlink: A Computation-Aware Approach. - Mehdi Letafati; Samad Ali; Matti Latva-aho (IEEE Wirel. Commun. Lett., 2024)

XL-RIS Placement Strategies for Beam Focusing in Coexisting Near-Field and Far-Field mmWave Communications. - Abdolrasoul Sakhaei Gharagezlou; Mehdi Rasti; Samad Ali; Shiva Kazemi Taskooh; Matti Latva-aho (WCNC, 2025)

Optimizing TTD-Based Wideband Hybrid Beamforming for Energy-Efficient Wireless Power Transfer. - Abdolrasoul Sakhaei Gharagezlou; Mehdi Rasti; Mehdi Monemi; Samad Ali; Matti Latva-aho (IEEE Commun. Lett., 2025)

Novel Learning-Based Multiuser Detection Algorithms for Spatially Correlated MTC. - Thushan Sivalingam; Samitha Gunarathne; Nurul Huda Mahmood; Samad Ali; Nandana Rajatheva; Matti Latva-aho (IEEE Internet Things J., 2025)