| Testbed for 5G connected artificial intelligence on virtualized networks CV Nahum, LDNM Pinto, VB Tavares, P Batista, S Lins, N Linder, ... IEEE Access 8, 223202-223213, 2020 | 39 | 2020 |
| Virtualized c-ran orchestration with docker, kubernetes and openairinterface C Novaes, C Nahum, I Trindade, D Cederholm, G Patra, A Klautau arXiv preprint arXiv:2001.08992, 2020 | 11 | 2020 |
| System intelligence for UAV-based mission critical with challenging 5G/b5G connectivity CB Both, J Borges, L Gonçalves, C Nahum, C Macedo, A Klautau, ... arXiv preprint arXiv:2102.02318, 2021 | 7 | 2021 |
| Emulation of 4G/5G network using OpenAirInterface C Nahum, J Soares, P Batista, A Klautau XXXV Brazilian Communications and Signal Processing Symposium, São Pedro …, 2017 | 7 | 2017 |
| Intent-aware radio resource scheduling in a ran slicing scenario using reinforcement learning CV Nahum, VH Lopes, RM Dreifuerst, P Batista, I Correa, KV Cardoso, ... IEEE Transactions on Wireless Communications, 2023 | 6 | 2023 |
| C-ran virtualization with openairinterface I Trindade, C Nahum, C Novaes, D Cederholm, G Patra, A Klautau arXiv preprint arXiv:1908.07503, 2019 | 5 | 2019 |
| Deep reinforcement learning-based scheduling for multiband massive MIMO VHL Lopes, CV Nahum, RM Dreifuerst, P Batista, A Klautau, KV Cardoso, ... IEEE Access 10, 125509-125525, 2022 | 4 | 2022 |
| Simultaneous beam selection and users scheduling evaluation in a virtual world with reinforcement learning I Correa, A Oliveira, B Du, C Nahum, D Kobuchi, F Bastos, H Ohzeki, ... ITU Journal on Future and Evolving Technologies 3 (2), 202-213, 2022 | 4 | 2022 |
| Reinforcement learning for scheduling and MIMO beam selection using Caviar simulations JPT Borges, AP De Oliveira, FHBE Bastos, DTNDN Suzuki, ESDO Junior, ... 2021 ITU Kaleidoscope: Connecting Physical and Virtual Worlds (ITU K), 1-7, 2021 | 2 | 2021 |
| Middleware implementation for RYU SDN Controller to manage switches in a C-RAN scenario L Nóvoa, V Tavares, C Nahum, S Lins, A Klautau Anais do XLVIII Seminário Integrado de Software e Hardware, 19-29, 2021 | 2 | 2021 |
| Functional Split and Frequency-Domain Processing for Fronthaul Traffic Reduction C Nahum, L Ramalho, A Klautau, E Medeiros, I Almeida, E Trojer IEEE Communications Letters 25 (8), 2758-2762, 2021 | 2 | 2021 |
| Downlink Fronthaul Compression in Frequency Domain using OpenAirInterface C Nahum, L Ramalho, J Fortuna, C Lu, M Berg, I Almeida, A Klautau arXiv preprint arXiv:2001.03199, 2020 | 1 | 2020 |
| Virtualized C-RAN with Mininet and OAI Supporting Flexible Network Topologies G Couto, C Nahum, V Tavares, J Pereira, P Batista, A Klautau | 1 | 2020 |
| Safeguard URLLC Services in Industry 4.0 Through Reinforcement Learning Scheduling C Nahum, W Mauricio, M Silva, M Takeda, A Klautau 2023 Workshop on Communication Networks and Power Systems (WCNPS), 1-7, 2023 | | 2023 |
| SYSTEM INTELLIGENCE FOR UAV‑BASED MISSION CRITICAL SERVICES WITH CHALLENGING 5G/B5G CONNECTIVITY CB Both, J Borges, L Gonçalves, C Nahum, C Macedo, A Klautau, ... | | 2022 |
| NETWORK RESOURCE ALLOCATION FOR EMERGENCY MANAGEMENT BASED ON CLOSED-LOOP ANALYSIS IA Guda Blessed, A James ITU Journal on Future and Evolving Technologies, 2022 | | 2022 |
| Near-RT RIC and Emulated Basestation for Initial xApps Development L Costa, R Aben-Athar, C Nahum, G Gonçalves, I Correa, A Klautau | | |
| Implementing Service Management and Orchestration for ORAN Software Community L Matni, R Aben-Athar, C Nahum, G Gonçalves, I Correa, S Lins, ... | | |
| Reinforcement Learning Scheduling for URLLC Service Protection in Industry 4.0 Scenario C Nahum, WVF Mauricio, M Silva, MSP Facina, MY Takeda, A Klautau | | |
| User Scheduling and Beam-Selection with Tabular and Deep Reinforcement Learning R Aben-Athar, C Nahum, D da Silva Brilhante, JF de Rezende, L Mendes, ... | | |
Aldebaro KlautauProfessor of Electrical and Computer Engineering, UFPA (Federal University of Para), Brazil在 ufpa.br 的电子邮件经过验证
