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Zoraze Ali
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2020 – today
- 2024
- [b1]Zoraze Ali:
AI/ML for multi-technology RAN automation with full and limited infrastructure support. Polytechnic University of Catalonia, Spain, 2024 - 2023
- [j6]Ana Larrañaga, M. Carmen Lucas-Estañ, Sandra Lagén, Zoraze Ali, Imanol Martinez, Javier Gozálvez:
An open-source implementation and validation of 5G NR configured grant for URLLC in ns-3 5G LENA: A scheduling case study in industry 4.0 scenarios. J. Netw. Comput. Appl. 215: 103638 (2023) - 2022
- [j5]Katerina Koutlia, Biljana Bojovic, Zoraze Ali, Sandra Lagén:
Calibration of the 5G-LENA system level simulator in 3GPP reference scenarios. Simul. Model. Pract. Theory 119: 102580 (2022) - [c8]Biljana Bojovic, Zoraze Ali, Sandra Lagén:
ns-3 and 5G-LENA Extensions to Support Dual-Polarized MIMO. WNS3 2022: 1-9 - [i3]Biljana Bojovic, Zoraze Ali, Sandra Lagén, Katerina Koutlia:
ns-3 and 5G-LENA extensions to support MIMO. CoRR abs/2202.04135 (2022) - [i2]Katerina Koutlia, Biljana Bojovic, Zoraze Ali, Sandra Lagén:
Calibration of the 5G-LENA System Level Simulator in 3GPP reference scenarios. CoRR abs/2205.03278 (2022) - 2021
- [j4]Marco Miozzo, Zoraze Ali, Lorenza Giupponi, Paolo Dini:
Distributed and Multi-Task Learning at the Edge for Energy Efficient Radio Access Networks. IEEE Access 9: 12491-12505 (2021) - [j3]Zoraze Ali, Sandra Lagén, Lorenza Giupponi, Richard Rouil:
3GPP NR V2X Mode 2: Overview, Models and System-Level Evaluation. IEEE Access 9: 89554-89579 (2021) - [j2]Zoraze Ali, Lorenza Giupponi, Marco Miozzo, Paolo Dini:
Multi-Task Learning for Efficient Management of Beyond 5G Radio Access Network Architectures. IEEE Access 9: 158892-158907 (2021) - [c7]Zoraze Ali, Sandra Lagén, Lorenza Giupponi:
On the impact of numerology in NR V2X Mode 2 with sensing and random resource selection. VNC 2021: 151-157 - [c6]Tommaso Zugno, Matteo Drago, Sandra Lagén, Zoraze Ali, Michele Zorzi:
Extending the ns-3 spatial channel model for vehicular scenarios. WNS3 2021: 25-32 - 2020
- [c5]Zoraze Ali, Marco Miozzo, Lorenza Giupponi, Paolo Dini, Stojan Z. Denic, Stavroula Vassaki:
Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks. PIMRC 2020: 1-6 - [i1]Zoraze Ali, Marco Miozzo, Lorenza Giupponi, Paolo Dini, Stojan Z. Denic, Stavroula Vassaki:
Recurrent Neural Networks for Handover Management in Next-Generation Self-Organized Networks. CoRR abs/2006.06526 (2020)
2010 – 2019
- 2019
- [j1]Biljana Bojovic, Lorenza Giupponi, Zoraze Ali, Marco Miozzo:
Evaluating Unlicensed LTE Technologies: LAA vs LTE-U. IEEE Access 7: 89714-89751 (2019) - 2017
- [c4]Zoraze Ali, Lorenza Giupponi, Josep Mangues-Bafalluy, Biljana Bojovic:
Machine learning based scheme for contention window size adaptation in LTE-LAA. PIMRC 2017: 1-7 - 2016
- [c3]Zoraze Ali, Biljana Bojovic, Lorenza Giupponi, Josep Mangues-Bafalluy:
On Fairness Evaluation: LTE-U vs. LAA. MobiWac 2016: 163-168 - [c2]Zoraze Ali, Nicola Baldo, Josep Mangues-Bafalluy, Lorenza Giupponi:
Machine learning based handover management for improved QoE in LTE. NOMS 2016: 794-798 - 2015
- [c1]Zoraze Ali, Nicola Baldo, Josep Mangues-Bafalluy, Lorenza Giupponi:
Simulating LTE mobility management in presence of coverage holes with ns-3. SimuTools 2015: 279-283
Coauthor Index
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last updated on 2024-08-16 19:27 CEST by the dblp team
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