Samad Ali
Cited by
Cited by
6G white paper on machine learning in wireless communication networks
S Ali, W Saad, N Rajatheva, K Chang, D Steinbach, B Sliwa, C Wietfeld, ...
arXiv preprint arXiv:2004.13875, 2020
Full duplex device-to-device communication in cellular networks
S Ali, N Rajatheva, M Latva-aho
2014 European Conference on Networks and Communications (EuCNC), 1-5, 2014
Fast uplink grant for machine type communications: challenges and opportunities
S Ali, N Rajatheva, W Saad
IEEE Communications Magazine, 2019
An overview of device-to-device communications technology components in METIS
G Fodor, S Roger, N Rajatheva, SB Slimane, T Svensson, P Popovski, ...
IEEE Access 4, 3288-3299, 2016
Average rate and error probability analysis in short packet communications over RIS-aided URLLC systems
R Hashemi, S Ali, NH Mahmood, M Latva-aho
IEEE Transactions on Vehicular Technology 70 (10), 10320-10334, 2021
Cyber-physical security and safety of autonomous connected vehicles: Optimal control meets multi-armed bandit learning
A Ferdowsi, S Ali, W Saad, NB Mandayam
IEEE Transactions on Communications 67 (10), 7228-7244, 2019
Relay selection and power allocation for energy efficiency maximization in hybrid satellite-UAV networks with CoMP-NOMA transmission
S Mirbolouk, M Valizadeh, MC Amirani, S Ali
IEEE Transactions on Vehicular Technology 71 (5), 5087-5100, 2022
White Paper on Machine Learning in 6G Wireless Communication Networks: 6G Research Visions, No. 7, 2020
A Samad, W Saad, R Nandana, C Kapseok, D Steinbach, B Sliwa, ...
University of Oulu, 2020
Sleeping multi-armed bandit learning for fast uplink grant allocation in machine type communications
S Ali, A Ferdowsi, W Saad, N Rajatheva, J Haapola
IEEE Transactions on Communications 68 (8), 5072-5086, 2020
Sleeping Multi-Armed Bandits for Fast Uplink Grant Allocation in Machine Type Communications
S Ali, A Ferdowsi, W Saad, N Rajatheva
Proc. IEEE Global Communications Conference (GLOBECOM), Workshop on Ultra …, 2018
Joint sum rate and blocklength optimization in RIS-aided short packet URLLC systems
R Hashemi, S Ali, NH Mahmood, M Latva-Aho
IEEE Communications Letters 26 (8), 1838-1842, 2022
A Directed Information Learning Framework for Event-Driven M2M Traffic Prediction
S Ali, W Saad, N Rajatheva
IEEE Communications Letters, 2018
Full-Duplex UAV Relay Positioning for Vehicular Communications with Underlay V2V Links
P Pourbaba, KBS Manosha, S Ali, N Rajatheva
Deep reinforcement based optimization of function splitting in virtualized radio access networks
FW Murti, S Ali, M Latva-aho
2021 IEEE International Conference on Communications Workshops (ICC …, 2021
Constrained deep reinforcement based functional split optimization in virtualized rans
FW Murti, S Ali, M Latva-Aho
IEEE Transactions on Wireless Communications 21 (11), 9850-9864, 2022
Deep reinforcement learning for practical phase-shift optimization in RIS-aided MISO URLLC systems
R Hashemi, S Ali, NH Mahmood, M Latva-Aho
IEEE Internet of Things Journal 10 (10), 8931-8943, 2022
Multi-armed bandit learning for full-duplex UAV relay positioning for vehicular communications
P Pourbaba, S Ali, KBS Manosha, N Rajatheva
2019 16th International Symposium on Wireless Communication Systems (ISWCS …, 2019
Deep learning-based active user detection for grant-free SCMA systems
T Sivalingam, S Ali, NH Mahmood, N Rajatheva, M Latva-Aho
2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile …, 2021
Peer-to-Peer Energy Trading and Grid Control Communications Solutions' Feasibility Assessment Based on Key Performance Indicators
J Haapola, S Ali, C Kalalas, J Markkula, N Rajatheva, A Pouttu, ...
2018 IEEE 87th Vehicular Technology Conference (VTC Spring), 1-5, 2018
Effect of residual of self-interference in performance of full-duplex D2D communication
S Ali, A Ghazanfari, N Rajatheva, M Latva-aho
1st International Conference on 5G for Ubiquitous Connectivity, 46-51, 2014
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