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ORCIDWNS3 2022: Virtual Event, USA
- Thomas Henderson, Michele Polese, Yuchen Liu, Eric Gamess:
WNS3 2022: 2022 Workshop on ns-3, Virtual Event, USA, June 22 - 23, 2022. ACM 2022, ISBN 978-1-4503-9651-6 - Biljana Bojovic, Zoraze Ali, Sandra Lagén:
ns-3 and 5G-LENA Extensions to Support Dual-Polarized MIMO. 1-9 - Andrea Ramos, Yanet Estrada
, Miguel Cantero, Jaime Romero, David Martín-Sacristán, Saúl Inca, Manuel Fuentes, José F. Monserrat:
Implementation and Calibration of the 3GPP Industrial Channel Model for ns-3. 10-16 - Eduardo Nuno Almeida, Mohammed Rushad, Sumanth Reddy Kota, Akshat Nambiar, Hardik L. Harti, Chinmay Gupta, Danish Waseem, Gonçalo Santos, Helder Fontes, Rui Campos, Mohit P. Tahiliani:
Machine Learning Based Propagation Loss Module for Enabling Digital Twins of Wireless Networks in ns-3. 17-24 - Hao Yin, Sumit Roy, Sian Jin:
IEEE WLANs in 5 vs 6 GHz: A Comparative Study. 25-32 - Shyam Krishnan Venkateswaran, Ching-Lun Tai, Yoav Ben-Yehezkel, Yaron Alpert, Raghupathy Sivakumar:
IEEE 802.11 PSM in ns-3: A Novel Implementation and Evaluation under Channel Congestion. 33-40 - Juan V. Leon, Yacoub Hanna, Kemal Akkaya:
Integration of WAVE and OpenFlow for Realization of SDN-based VANETs in ns-3. 41-48 - Jianfei Shao, Minh Vu, Mingrui Zhang, Asmita Jayswal, Lisong Xu:
Symbolic ns-3 for Efficient Exhaustive Testing: Design, Implementation, and Simulations. 49-56 - Parth Pratim Chatterjee, Thomas R. Henderson:
Revitalizing ns-3's Direct Code Execution. 57-64 - Benjamin Newton, Michael P. Scoggin, Anand Ganti, Uzoma Onunkwo, Vincent Hietala:
Clipping for Faster Wireless Network Simulation in ns-3. 65-72 - Pascal Jörke, Tim Gebauer, Christian Wietfeld:
From LENA to LENA-NB: Implementation and Performance Evaluation of NB-IoT and Early Data Transmission in ns-3. 73-80 - Muhammad Naeem, Michele Albano, Davide Magrin, Brian Nielsen, Kim Guldstrand Larsen:
A Sigfox Module for the Network Simulator 3. 81-88 - Argha Sen, Sashank Bonda, Jay Jayatheerthan, Sandip Chakraborty:
Implementation of mmWave-energy Module and Power Saving Schemes in ns-3. 89-96 - Emily Ekaireb, Xiaofan Yu, Kazim Ergun, Quanling Zhao, Kai Lee, Muhammad Huzaifa, Tajana Rosing:
ns3-fl: Simulating Federated Learning with ns-3. 97-104 - Peng Zhang, Pedro A. Forero, Daniel Yap, Dusan Radosevic:
Evaluation of Reinforcement-Learning Queue Management Algorithm for Undersea Acoustic Networks Using ns-3. 105-111 - Matteo Drago, Tommaso Zugno, Federico Mason, Marco Giordani, Mate Boban, Michele Zorzi:
Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3. 112-119 - Nicolas Rybowski, Olivier Bonaventure:
Evaluating OSPF Convergence with ns-3 DCE. 120-126 - Biljana Bojovic, Sandra Lagén:
Enabling NGMN Mixed Traffic Models for ns-3. 127-134
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