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Samad Ali
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2020 – today
- 2024
- [j14]Maryam Mohsenivatani, Samad Ali, Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho:
Graph Representation Learning for Wireless Communications. IEEE Commun. Mag. 62(1): 141-147 (2024) - [j13]Fahri Wisnu Murti
, Samad Ali
Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs. IEEE Trans. Netw. Serv. Manag. 21(1): 200-216 (2024) - [c23]Mehdi Letafati, Samad Ali, Matti Latva-aho:
Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications. WCNC 2024: 1-6 - 2023
- [j12]Ramin Hashemi
Deep Reinforcement Learning for Practical Phase-Shift Optimization in RIS-Aided MISO URLLC Systems. IEEE Internet Things J. 10(10): 8931-8943 (2023) - [c22]Maryam Mohsenivatani, Samad Ali, Nandana Rajatheva, Matti Latva-aho:
Deep Contextual Bandits Learning-Based Beam Selection for mmWave MIMO Systems. MeditCom 2023: 211-216 - [i27]Mehdi Letafati, Samad Ali, Matti Latva-aho:
Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications. CoRR abs/2309.08568 (2023) - [i26]Mehdi Letafati, Samad Ali, Matti Latva-aho:
Probabilistic Constellation Shaping With Denoising Diffusion Probabilistic Models: A Novel Approach. CoRR abs/2309.08688 (2023) - [i25]Mehdi Letafati, Samad Ali, Matti Latva-aho:
WiGenAI: The Symphony of Wireless and Generative AI via Diffusion Models. CoRR abs/2310.07312 (2023) - [i24]Mehdi Letafati, Samad Ali, Matti Latva-aho:
Denoising Diffusion Probabilistic Models for Hardware-Impaired Communication Systems: Towards Wireless Generative AI. CoRR abs/2310.19460 (2023) - [i23]Mehdi Letafati, Samad Ali, Matti Latva-aho:
Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models. CoRR abs/2311.09349 (2023) - [i22]Fahri Wisnu Murti, Samad Ali, Matti Latva-aho:
A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration. CoRR abs/2312.16142 (2023) - 2022
- [j11]Ramin Hashemi
Joint Sum Rate and Blocklength Optimization in RIS-Aided Short Packet URLLC Systems. IEEE Commun. Lett. 26(8): 1838-1842 (2022) - [j10]Sedighe Mirbolouk
Relay Selection and Power Allocation for Energy Efficiency Maximization in Hybrid Satellite-UAV Networks With CoMP-NOMA Transmission. IEEE Trans. Veh. Technol. 71(5): 5087-5100 (2022) - [j9]Fahri Wisnu Murti
Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs. IEEE Trans. Wirel. Commun. 21(11): 9850-9864 (2022) - [c21]Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho:
Terahertz Sensing using Deep Neural Network for Material Identification. ANTS 2022: 1-5 - [c20]Fahri Wisnu Murti, Samad Ali
Learning-Based Orchestration for Dynamic Functional Split and Resource Allocation in vRANs. EuCNC 2022: 243-248 - [c19]Ramin Hashemi, Samad Ali
Deep Reinforcement Learning for Practical Phase Shift Optimization in RIS-assisted Networks over Short Packet Communications. EuCNC 2022: 518-523 - [c18]Samad Ali
Removing Power Amplifier Distortions at the Receiver using Deep Learning. VTC Spring 2022: 1-5 - [c17]Madhushanka Padmal
Elevated LiDAR based Sensing for 6G - 3D Maps with cm Level Accuracy. VTC Spring 2022: 1-5 - [i21]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 abs/2203.05858 (2022) - [i20]Ramin Hashemi, Samad Ali
Joint Sum Rate and Blocklength Optimization in RIS-aided Short Packet URLLC Systems. CoRR abs/2204.13369 (2022) - [i19]Fahri Wisnu Murti, Samad Ali
Learning-Based Orchestration for Dynamic Functional Split and Resource Allocation in vRANs. CoRR abs/2205.07518 (2022) - [i18]Fahri Wisnu Murti, Samad Ali
Deep Reinforcement Learning for Orchestrating Cost-Aware Reconfigurations of vRANs. CoRR abs/2208.05282 (2022) - [i17]Maryam Mohsenivatani, Samad Ali, Vismika Ranasinghe, Nandana Rajatheva, Matti Latva-aho:
Graph Representation Learning for Wireless Communications. CoRR abs/2212.01904 (2022) - 2021
- [j8]Ramin Hashemi
Average Rate and Error Probability Analysis in Short Packet Communications Over RIS-Aided URLLC Systems. IEEE Trans. Veh. Technol. 70(10): 10320-10334 (2021) - [j7]Insaf Ismath
Deep Contextual Bandits for Fast Neighbor-Aided Initial Access in mmWave Cell-Free Networks. IEEE Wirel. Commun. Lett. 10(12): 2752-2756 (2021) - [c16]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: 142-147 - [c15]Ramin Hashemi
Average Rate Analysis of RIS-aided Short Packet Communication in URLLC Systems. ICC Workshops 2021: 1-6 - [c14]Fahri Wisnu Murti
Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks. ICC Workshops 2021: 1-6 - [c13]Thushan Sivalingam, Samad Ali
Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access. PIMRC 2021: 1-7 - [c12]Ramin Hashemi
Investigating Communications Energy Efficiency Tradeoff Between UAV Users and Small-cell Users. PIMRC 2021: 342-347 - [c11]Thushan Sivalingam, Samad Ali
Deep Learning-Based Active User Detection for Grant-free SCMA Systems. PIMRC 2021: 635-641 - [c10]Insaf Ismath, K. B. Shashika Manosha, Samad Ali
Deep Contextual Bandits for Fast Initial Access in mmWave Based User-Centric Ultra-Dense Networks. VTC Spring 2021: 1-7 - [i16]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 abs/2101.04365 (2021) - [i15]Ramin Hashemi
Average Rate and Error Probability Analysis in Short Packet Communications over RIS-aided URLLC Systems. CoRR abs/2102.13363 (2021) - [i14]Ramin Hashemi
Average Rate Analysis of RIS-aided Short Packet Communication in URLLC Systems. CoRR abs/2103.12175 (2021) - [i13]Fahri Wisnu Murti, Samad Ali, Matti Latva-aho:
Deep Reinforcement Based Optimization of Function Splitting in Virtualized Radio Access Networks. CoRR abs/2105.14731 (2021) - [i12]Fahri Wisnu Murti, Samad Ali, Matti Latva-aho:
Constrained Deep Reinforcement Based Functional Split Optimization in Virtualized RANs. CoRR abs/2106.00011 (2021) - [i11]Thushan Sivalingam, Samad Ali, Nurul Huda Mahmood, Nandana Rajatheva, Matti Latva-aho:
Deep Learning-Based Active User Detection for Grant-free SCMA Systems. CoRR abs/2106.11198 (2021) - [i10]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 abs/2106.11204 (2021) - [i9]Ramin Hashemi
Deep Reinforcement Learning for Practical Phase Shift Optimization in RIS-aided MISO URLLC Systems. CoRR abs/2110.08513 (2021) - 2020
- [b1]Samad Ali:
Learning-based predictive resource allocation for machine type communications. University of Oulu, Finland, 2020 - [j6]Samad Ali
Contextual Bandit Learning for Machine Type Communications in the Null Space of Multi-Antenna Systems. IEEE Trans. Commun. 68(2): 1284-1296 (2020) - [j5]Samad Ali
Sleeping Multi-Armed Bandit Learning for Fast Uplink Grant Allocation in Machine Type Communications. IEEE Trans. Commun. 68(8): 5072-5086 (2020) - [c9]Thulitha Senevirathna, Bathiya Thennakoon, Tharindu Sankalpa, Chatura Seneviratne, Samad Ali
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks. GLOBECOM 2020: 1-6 - [i8]Samad Ali, Walid Saad, Nandana Rajatheva, Kapseok Chang, Daniel Steinbach, Benjamin Sliwa, Christian Wietfeld, Kai Mei, Hamid Shiri, Hans-Jürgen Zepernick
6G White Paper on Machine Learning in Wireless Communication Networks. CoRR abs/2004.13875 (2020) - [i7]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 abs/2009.06974 (2020)
2010 – 2019
- 2019
- [j4]Samad Ali
Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities. IEEE Commun. Mag. 57(3): 97-103 (2019) - [j3]Aidin Ferdowsi
Cyber-Physical Security and Safety of Autonomous Connected Vehicles: Optimal Control Meets Multi-Armed Bandit Learning. IEEE Trans. Commun. 67(10): 7228-7244 (2019) - [c8]Pouya Pourbaba, Samad Ali
Multi-Armed Bandit Learning for Full-Duplex UAV Relay Positioning for Vehicular Communications. ISWCS 2019: 188-192 - [c7]Pouya Pourbaba, K. B. Shashika Manosha, Samad Ali
Full-Duplex UAV Relay Positioning for Vehicular Communications with Underlay V2V Links. VTC Spring 2019: 1-6 - [i6]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 abs/1905.09880 (2019) - 2018
- [j2]Samad Ali
A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction. IEEE Commun. Lett. 22(11): 2378-2381 (2018) - [c6]Samad Ali
Sleeping Multi-Armed Bandits for Fast Uplink Grant Allocation in Machine Type Communications. GLOBECOM Workshops 2018: 1-6 - [c5]Jussi Haapola
Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators. VTC Spring 2018: 1-5 - [i5]Samad Ali, Nandana Rajatheva, Walid Saad:
Fast Uplink Grant for Machine Type Communications: Challenges and Opportunities. CoRR abs/1801.04953 (2018) - [i4]Samad Ali, Walid Saad, Nandana Rajatheva:
A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction. CoRR abs/1808.08788 (2018) - [i3]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 abs/1810.12983 (2018) - [i2]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 abs/1812.05298 (2018) - 2017
- [c4]Samad Ali
Opportunistic Scheduling of Machine Type Communications as Underlay to Cellular Networks. VTC Fall 2017: 1-5 - [i1]Samad Ali, Nandana Rajatheva:
Opportunistic Scheduling of Machine Type Communications as Underlay to Cellular Networks. CoRR abs/1708.03059 (2017) - 2016
- [j1]Gábor Fodor
An Overview of Device-to-Device Communications Technology Components in METIS. IEEE Access 4: 3288-3299 (2016) - 2015
- [c3]Samad Ali
Effect of interference of full-duplex transmissions in underlay device-to-device communication. CWIT 2015: 54-57 - 2014
- [c2]Samad Ali
Effect of Residual of Self-Interference in Performance of Full-Duplex D2D Communication. 5GU 2014: 46-51 - [c1]Samad Ali
Full duplex device-to-device communication in cellular networks. EuCNC 2014: 1-5
Coauthor Index
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last updated on 2024-10-07 22:10 CEST by the dblp team
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