PhD Researcher
Hosein Kangavar Nazari is a PhD researcher at “Deutsche Telekom Chair of Communication Networks” at Technische Universität Dresden. He is currently part of the TICCTEC project where his focus is on integrating 5G communication with Time-sensitive networking. His main research interests are Network Coding and Time-sensitive networking.
He was born in Rasht, Iran. He received his BSc degree in “Information Technology Engineering” at the Institute for Advanced Studies in Basic Sciences (IASBS). He also received his MSc in “Computer Science” where he focused on “packet recovery in random and sparse linear network coding.” Moreover, he worked as a research assistant and software developer at Sarv Saba Company where he was responsible for developing IoT software for controlling and monitoring HVAC systems.
Please find open topics here: Open Topics.
Phone: +49 351 463-40858
Email: hosein.kangavar_nazari@tu-dresden.de Room: BAR I/25
Senk, Stefan; Nazari, Hosein K.; Liu, How-Hang; Nguyen, Giang T.; Fitzek, Frank H. P.
Open-Source Testbeds for Integrating Time-Sensitive Networking with 5G and beyond Proceedings Article
In: CCNC 2023 WKSHPS: 3rd International Workshop on Communication and Networking for Swarms Robotics (ROBOCOM'23) (ROBOCOM 2023), Las Vegas, USA, 2023.
Abstract | Links | BibTeX
@inproceedings{Nguy2301:Open, title = {Open-Source Testbeds for Integrating Time-Sensitive Networking with 5G and beyond}, author = {Stefan {Senk} and Hosein K. {Nazari} and How-Hang {Liu} and Giang T. {Nguyen} and Frank H. P. {Fitzek}}, doi = { 10.1109/CCNC51644.2023.10060159}, year = {2023}, date = {2023-01-01}, urldate = {2023-01-01}, booktitle = {CCNC 2023 WKSHPS: 3rd International Workshop on Communication and Networking for Swarms Robotics (ROBOCOM'23) (ROBOCOM 2023)}, address = {Las Vegas, USA}, abstract = {\"{U}nmanned Aerial Vehicles (UAVs) have developed substantially in various practical use cases and require reliable wireless connections. Cellular-connected UAVs will benefit from ultra-reliable and low-latency communication (URLLC) in 5G and beyond networks. Their integration with Time-Sensitive Networking (TSN) via campus solutions can provide swarm robotics wireless links with deterministic behavior, flexibility, and coverage. Reliable yet cost-effective and flexible evaluation of the integration is still challenging for academia and industry. We focus on open-source testbeds due to their maturity and transparency in verifying evaluation results. Subsequently, we systematically survey and categorize testbeds in the literature that use commercial-off-the-shelf hardware. Our study outlines options for building a full-fledged testbed for integrating TSN with 5G and beyond for research and development. This study initiates one of the first steps toward facilitating future research."}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
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Ulbricht, Marian; Senk, Stefan; Nazari, Hosein K.; Liu, How-Hang; Reisslein, Martin; Nguyen, Giang T.; Fitzek, Frank H. P.
TSN-FlexTest: Flexible TSN Measurement Testbed (Extended Version) Journal Article
In: 2022, (arXiv pre-print).
Links | BibTeX
@article{Ulbricht22:FlexTest, title = {TSN-FlexTest: Flexible TSN Measurement Testbed (Extended Version)}, author = {Marian {Ulbricht} and Stefan {Senk} and Hosein K. {Nazari} and How-Hang {Liu} and Martin {Reisslein} and Giang T. {Nguyen} and Frank H. P. {Fitzek}}, url = {https://arxiv.org/abs/2211.10413}, doi = {10.48550/ARXIV.2211.10413}, year = {2022}, date = {2022-01-01}, urldate = {2022-01-01}, publisher = {arXiv}, note = {arXiv pre-print}, keywords = {}, pubstate = {published}, tppubtype = {article} }
Nazari, Hosein K.; Ghassabi, Kiana; Pahlevani, Peyman; Lucani, Daniel
Improving the Decoding Speed of Packet Recovery in Network Coding Journal Article
In: IEEE Communications Letters, vol. 25, no. 2, pp. 351-355, 2021.
@article{9226485, title = {Improving the Decoding Speed of Packet Recovery in Network Coding}, author = {Hosein K. {Nazari} and Kiana {Ghassabi} and Peyman {Pahlevani} and Daniel {Lucani}}, doi = {10.1109/LCOMM.2020.3031011}, year = {2021}, date = {2021-01-01}, urldate = {2021-01-01}, journal = {IEEE Communications Letters}, volume = {25}, number = {2}, pages = {351-355}, keywords = {}, pubstate = {published}, tppubtype = {article} }