PhD Researcher
Oleksandr Zhdanenko is a Ph.D. researcher at the Deutsche Telekom Chair of Communication Networks at TU Dresden. He joined chair in Oktober 2017 and is currently working on the Autodrive project funded by the EU. The Goal of the project is to provide fail-aware, fail-safe, and fail-operational integrated electronic components, architectures as well as embedded software systems for highly and fully automated driving to make future mobility safer, more efficient, affordable, and end-user acceptable.
He received his Bachelor(2011) and Master(2013) degrees in Telecommunications from Technical University of Ukraine “Kiev Polytechnical Institute” with the focus on Information Technologies. In 2015 he received his second Master degree in Computer Science from the Technical University of Dresden.
Oleksandr Zhdanenko’s research interests are mainly in the areas of Vehicle to Vehicle (V2V), Vehicle to Infrastructure(V2I), as well as hybrid communications and ITS station architecture.
Phone: +49 351 463-32285 Email: Oleksandr.Zhdanenko@tu-dresden.de
Bonetto, Riccardo; Sychev, Ilya; Zhdanenko, Oleksandr; Abdelkader, Abdelrahman; Fitzek, Frank H. P.
Smart Grids for Smarter Cities Inproceedings
In: 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2020), Las Vegas, USA, 2020.
Abstract | BibTeX
@inproceedings{Bonetto2020, title = {Smart Grids for Smarter Cities}, author = {Riccardo {Bonetto} and Ilya {Sychev} and Oleksandr {Zhdanenko} and Abdelrahman {Abdelkader} and Frank H. P. {Fitzek}}, year = {2020}, date = {2020-01-01}, booktitle = {2020 IEEE 17th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2020)}, address = {Las Vegas, USA}, abstract = {Here we show how, based on 5G-enabled technologies, a connected power distribution grid can be split into self sufficient islands integrating self driving electric vehicles (EVs). End users form self sufficient (from the energy demand point of view) clusters called virtual power plants, and EVs serve as energy delivery devices between different VPPs. Moreover, we show how phase-to-ground faults can be detected and isolated even in the presence of distributed energy generation, thanks to low latency communication and massive IoT.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
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Torre, Roberto; Peralta, Goiuri; Zhdanenko, Oleksandr; Kropp, Alexander; Salah, Hani; Nguyen, Giang T.; Mudriievskyi, Stanislav; Fitzek, Frank H. P.
Enhanced Driving with 5G: A New Approach for Alleviating Traffic Congestion Inproceedings
In: 2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2019.
BibTeX
@inproceedings{torre2019_enhanced, title = {Enhanced Driving with 5G: A New Approach for Alleviating Traffic Congestion}, author = {Roberto {Torre} and Goiuri Peralta and Oleksandr {Zhdanenko} and Alexander {Kropp} and Hani {Salah} and Giang T. {Nguyen} and Stanislav {Mudriievskyi} and Frank H. P. {Fitzek}}, year = {2019}, date = {2019-11-17}, booktitle = {2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Pandi, Sreekrishna; Gabriel, Frank; Zhdanenko, Oleksandr; Wunderlich, Simon; Fitzek, Frank H. P.
MESHMERIZE: An Interactive Demo of Resilient Mesh Networks in Drones Inproceedings
In: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2019), Las Vegas, USA, 2019.
@inproceedings{Pand1901:MESHMERIZE, title = {MESHMERIZE: An Interactive Demo of Resilient Mesh Networks in Drones}, author = {Sreekrishna {Pandi} and Frank {Gabriel} and Oleksandr {Zhdanenko} and Simon {Wunderlich} and Frank H. P. {Fitzek}}, year = {2019}, date = {2019-01-01}, booktitle = {2019 16th IEEE Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2019)}, address = {Las Vegas, USA}, abstract = {Meshmerize is an opportunistic multi-path wireless mesh routing protocol designed for dynamic networks. It ensures persistent connectivity to even mobile nodes in the network. Classical mesh routing protocols fail frequently when the nodes are mobile. In this demo, we demonstrate the resilience of Meshmerize and the shortcomings of the classical protocols using an emulated drone network. The audience can pilot a (virtual) drone in a city through a meshed network of base stations and experience the latency and reliability of both protocols first hand.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Zhdanenko, Oleksandr; Liu, Jianhui; Torre, Roberto; Mudriievskyi, Stanislav; Salah, Hani; Nguyen, Giang T.; Fitzek, Frank H. P.
Demonstration of Mobile Edge Cloud for 5G Connected Cars Inproceedings
@inproceedings{ccnc219, title = {Demonstration of Mobile Edge Cloud for 5G Connected Cars}, author = {Oleksandr {Zhdanenko} and Jianhui {Liu} and Roberto {Torre} and Stanislav {Mudriievskyi} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}}, year = {2019}, date = {2019-01-01}, booktitle = {2019 16th IEEE Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2019)}, address = {Las Vegas, USA}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Sychev, Ilya; Zhdanenko, Oleksandr; Bonetto, Riccardo; Fitzek, Frank H. P.
ARIES: Low Voltage smArt gRid dIscrete Event Simulator to Enable Large Scale Learning in the Power Distribution Networks Inproceedings
In: 2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (IEEE SmartGridComm'18), 2018.
@inproceedings{Bone1810:ARIES, title = {ARIES: Low Voltage smArt gRid dIscrete Event Simulator to Enable Large Scale Learning in the Power Distribution Networks}, author = {Ilya {Sychev} and Oleksandr {Zhdanenko} and Riccardo {Bonetto} and Frank H. P. {Fitzek}}, year = {2018}, date = {2018-01-01}, booktitle = {2018 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (IEEE SmartGridComm'18)}, abstract = {Accurate software based simulation of (complex) dynamic and, possibly, stochastic systems is a key component of the design and test of control strategies. Simulation tools developed according to software design best practices provide engineers and researchers with efficient and easy to use representations of the world. Hence, allowing for faster control algorithms design and test. Here we present ARIES, a (low voltage) smArt gRid dIscrete Event Simulator meant to enable large scale learning and easy smart grid applications design and testing. ARIES is designed according to object oriented best practices, and it is implemented in Python 3. ARIES is equipped with a REST API to actively interact with the simulations, it features a simulation results storage system based on a MongoDB database, and a event management system based on a redis in-memory data structure store used as message broker.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }