Anatoli Djanatliev

Prof. Dr.-Ing. Anatoli Djanatliev

Department of Computer Science
Chair of Computer Science 7 (Computer Networks and Communication Systems)

Room: Room 06.130
Martensstr. 3
91058 Erlangen

Short Biography

Anatoli Djanatliev is an Assistant Professor at the Chair of Computer Networks and Communication Systems. He received his Ph.D. degree (Dr.-Ing., with distinction) and his M.Sc. in computer science (Dipl.-Inf. Univ.) from the engineering faculty of the University of Erlangen-Nuremberg in 2015 and 2008, respectively. Until 2010, he worked as a software engineer within the area of model-based testing and automated test case generation. His previous research focus was related to prospective assessments of health technologies, and healthcare decision-support. His current research interests include various topics on simulation and modeling using agent-based simulation, and hybrid simulation. Major application areas are simulation of vehicular networks, innovative aspects of connected mobility, and future mobility services.

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  • Heterogeneous vehicle networks for data transmission in the field

    (Third Party Funds Single)

    Term: 2020-04-01 - 2023-09-30
    Funding source: andere Förderorganisation
    Vehicles are evolving to a mobile data platform. Besides mobility as their main purpose, the demand for entertainment, connectivity and current software is increasing. Besides installing updates in the workshop there is already today a mobile communication module built into the car, by which map updates, traffic information and entertainment applications are run. Mobile communication however depends on existing network coverage and can be limited in certain areas. Additionally a fee has to be paid to the mobile network provider, which is usually dependent on the amount of used data traffic. In this project additional technologies are to be evaluated, that may enable effective communication in the future. Publicly available WLAN hotspots have a potential as they are often available in the road area and can mostly be used cost-effective. Additionally vehicles need similar information, for instance a map update, that has to be delivered to multiple cars in the field. Therefor direct communication between vehicles as in 5G offers the possibility to exchange information in the field and reduce the usage of mobile communication. The goal is to test the combination of different technologies to a complex, heterogeneous vehicle network and evaluate the applicability of opportunistic networks. At the same time, proposals for future standardization are to be developed. From a scientific point of view suitable coordination and routing mechanisms are vital as connection times are short, vehicles serve as temporary storage and source of information and effective usage of transmission paths is relevant.
  • Optimization of Multi-Access Edge Computing (MEC) for Network-Dependent Services

    (Non-FAU Project)

    Term: 2019-10-01 - 2024-12-31
    In the future, data exchange will no longer take place exclusively between the cloud (or a server in a data center) and a mobile device. Instead, communication between devices will be established directly on the basis of application relationships in order to realize immersive applications, automated driving or virtual reality. To this end, 5G and future network technologies are increasingly following the data-centric paradigm in their design, in which, among other things, the increasing relevance of direct device communication is taken into account. Another elementary development also contributes to this: Computing or information resources are no longer provided exclusively by cloud servers.
    Multi-Access Edge Computing (MEC) is part of current research and deals with the provision of resources on distributed edge nodes. For example, MEC instances can be located close to base stations to serve applications with special requirements, such as low latency, low-variance jitter, high bandwidth, or privacy requirements close to the end device. Over time, services will emerge whose components can be deployed literally anywhere and in a distributed manner - without the need to consider a mandatory hierarchical network topology. In addition to a cloud instance, a service can therefore also be operated on the edge instance in the vicinity, e.g. a mobile radio base station, a traffic control system or even a neighboring user equipment (UE). Multi-level MEC constellations are also possible. A homogeneous technology stack that extends cloud computing enables a data-centric architecture that can simultaneously accommodate stringent service requirements.
    The resulting architecture can be viewed from two perspectives. In terms of network communication, MEC resources are accessible via only a few links or hops. This geographical or topological proximity means that the links are not overloaded, which results in the aforementioned performance advantages. With regard to the services provided, a MEC orchestrator can dynamically adapt service deployments on compute nodes to the current situation and integrate resources into the topology or remove them, for example, to save energy. In addition to orchestration decisions, the movement of nodes also leads to a change in the network topology. In order to exploit the full potential of MEC and thus also to be able to operate services that rely on MEC resources, both perspectives must be combined in a meaningful way.
    In static environments, MEC resources can usually be planned well in advance. It becomes a challenge especially when the mentioned dynamic topology changes or mobility of UEs affect the overall system. One of the key questions that arises is: Can the communication requirements of MEC-dependent services, which are necessary for the smooth implementation of the service, be met at all times?
    The research project deals with the selection of the best MEC resources, for example from a UE point of view, as well as the, from a network point of view, best locations for orchestrators to provide the services. In particular, the focus is on the current network and topology situation in combination with the strict communication requirements of services that need MEC resources. Strategies and algorithms, for example based on graphs, are developed, implemented and evaluated. Verification takes place through system-level simulations and real-world deployment.
  • Simulator coupling and data enrichment

    (Third Party Funds Group – Sub project)

    Overall project: Virtuelle Mobilitätswelt
    Term: 2018-10-01 - 2021-09-30
    Funding source: Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie (StMWIVT) (ab 10/2013)
    The increasing networking and digitalization in the mobility industry leads to ever more complex systems and large amounts of data. This offers opportunities and challenges and requires innovative methods for research, analysis, development and validation of new mobility technologies. ViM aims to develop a platform prototype for research purposes and for the development of innovative business services, which can serve for testing novel mobility services and novel driving functions on a technical level (e.g. collaborative driving maneuvers). The aim is to develop a data and software framework that enables the introduction and use of different digital and modular components on the basis of their application context and provides mobility data as a basis for research, services and applications, taking into account any proprietary components. In particular, the platform allows the combination of real and simulated data to generate a realistic virtual world. Data analysis modules supplement this image and help to evaluate and interpret it.
    The Chair of Computer Networks and Communication Systems is involved in all work packages and leads in particular the work package Simulation.
  • Simulation and modeling based on collected real-world data

    (Non-FAU Project)

    Term: 2018-10-01 - 2021-09-30

     Die Funktionssicherheit von Fahrerassistenzsystemen sowie automatisierter und vernetzter Funktionen ist vom Automobilhersteller in jeder denkbaren Verkehrssituation sicherzustellen.  Im Entwicklungs- und Absicherungsprozess ist dazu eine erhebliche Zahl  von Verkehrssituationen, sog. Szenarien, abzuprüfen.  Dieser umfangreiche Prüfumfang lässt sich in Zukunft eigentlich nur noch durch den massiven Einsatz von Computersimulation sinnvoll bewältigen. Um in diesen Simulationen eine entsprechende Validität und Praxisrelevanz zu erzeugen, müssen Modelle des eigenen Fahrzeugs, der Strecken und –Umgebung sowie des umgebenden Verkehrs adäquat modelliert werden.

    Im Rahmen dieser Arbeit sollen Fahrsituationen, sogenannte Fahrszenarien, realer Versuchsfahrzeuge sensorisch erfasst und aufgezeichnet werden. Aus diesen Datenaufzeichnungen soll das aufgezeichnete Fahrszenario in einer Fahrsimulation nachgebildet und eine aktivierte automatisierte Fahrfunktion darin betrieben werden. Dadurch kann die Exaktheit des Simulationsmodells mit den aufgezeichneten Messdaten verglichen und validiert werden. Darüber hinaus werden so anspruchsvolle Fahrszenarien für einen Prüfkatalog gesammelt und das Fahrszenario kann mit vielen Variationen der zu simulierenden automatischen Fahrfunktion durchgespielt und verglichen werden.

    Aufbauend auf einem funktionierendem Verfahren der Szenariengenerierung aus Messdaten soll ein Verfahren für gezielte Datenanalyse relevanter Szenarien  aus Massendaten hinsichtlich Kategorien, Definitionen, Trajektorien zur Erzeugung von parametrierbarer Manöverklassen systematisch erarbeitet werden.

  • Evaluation methodology for automated driving using function simulation

    (Non-FAU Project)

    Term: 2018-09-01 - 2021-08-31
    Die Funktionssicherheit von Fahrerassistenzsystemen sowie automatisierter und vernetzter Funktionen ist vom Automobilhersteller in jeder denkbaren Verkehrssituation sicherzustellen.  Im Entwicklungs- und Absicherungsprozess ist dazu eine erhebliche Zahl  von Verkehrssituationen, sog. Szenarien, abzuprüfen.  Dieser umfangreiche Prüfumfang lässt sich in Zukunft nur noch durch den massiven Einsatz von Computersimulation sinnvoll bewältigen. Um in diesen Simulationen eine entsprechende Validität und Praxisrelevanz zu erzeugen, müssen Modelle des eigenen Fahrzeugs, der Strecken und –Umgebung sowie des umgebenden Verkehrs adäquat modelliert werden.

    Im Rahmen dieser Arbeit soll eine Methodik zur Absicherung von Systemen und Funktionen des automatisierten und vernetzten Fahrens mittels Computersimulation auf virtuellen Streckenmodellen konzipiert und prototypisch entwickelt werden. Aspekte, die dabei Berücksichtigung finden sollen, sind Qualitätsanforderungen an das Streckenmodell hinsichtlich unterschiedlicher Sensor- und Reglerfunktionen, erforderliche Parameter/Dimensionen für die darzustellenden (Verkehrs-)Szenarien, Klassifizierung der Ähnlichkeit/Genauigkeit von digitalen Zwillingen (Simulation und Versuchsfahrzeug) oder auch eine Validierungssystematik für solch ein virtuelles Umfeldmodell.
    Aufbauend auf die Anforderungen an die Simulation und den Spezifikationen an das virtuelle Streckenmodell soll ein systematisches und belastbares Verfahren zur simulationsbasierten Absicherung von automatisierten Fahrfunktion erarbeitet werden.

  • Hybrid Co-Simulation Framework

    (Own Funds)

    Term: since 2017-11-01
    Simulation is a decent method to study, evaluate, and validate upcoming technologies and algorithms. In order to generate realistic results, it is necessary to overcome different challenges. One of these challenges is the computational feasibility of holistic simulation scenarios, especially when it comes to large-scale setups. These scenarios may model a whole city or even an entire country. Besides performance problems, adequate modeling of real world scenarios often requires the combination of multiple simulation tools from different domains. This combination often requires the connection of different modeling paradigms. Other challenges tasks are the time synchronization of the different simulation tools and the data exchange between them.
    To solve these problems, a hybrid co-simulation framework is developed in this project. The Framework uses an implementation of High Level Architecture (HLA, IEEE1516) as a middleware and enables the dynamic composition of a simulation setup that matches current requirements. The composition takes place in two dimensions. In a vertical dimension, multi-level support empowers the simulation at different levels of detail, corresponding to the demands regarding performance, available data, or posed questions. In a horizontal dimension, the coupling of tools from different domains is enabled. The focus on extendability makes it possible to add any needed tools at a later point in time to the framework.
  • Simulation and Modelling of various 5G-Mechanisms within the context of connected mobility

    (Own Funds)

    Term: 2017-10-01 - 2022-08-31

    The networking of vehicles with other road users or the infrastructure (Vehicle-to-Everything (V2X)) is one of the key technologies for autonomous driving and smart cities. The WLAN standard IEEE 802.11p developed for this purpose has already been the focus of research for a decade. So far, however, this communication technology has not been able to establish itself as a communication standard in the automotive industry. One possible reason for this is the non-existent stationary infrastructure (base stations at the roadside or at traffic lights), which would require high investments.

    Many automobile manufacturers are therefore focusing their research on the latest generation of mobile radio technologies. The required infrastructure is available nationwide due to other mobile phone subscribers. LTE has already adopted specifications for direct communication between vehicles and communication via a base station. The latest mobile radio generation (5G), which is to be introduced from 2020, takes into account application cases and criteria for V2X communication right from the start. For 5G, the virtualization of mobile radio components via network slicing in conjunction with SDN and NFV will play a decisive role in maintaining quality of service parameters compared to LTE and WLAN.

    For the simulation of V2X communication scenarios via WLAN IEEE 802.11p the Veins framework developed at the chair has been used in numerous studies. In order to evaluate comparisons between WLAN and mobile radio by simulation, a further development of Veins with the mobile radio technologies LTE/5G is of great interest. The focus here is in particular on questions of Quality of Service (QoS) and the planned V2X application cases. In the context of this doctoral thesis the Veins framework is extended to the 5G technology. The focus here is on mechanisms of the lower network layers and the planned network slicing and Quality of Service (QoS) approaches.

  • Modeling and Simulation of Three-Dimensional Vehicular Ad Hoc Networks

    (Own Funds)

    Term: 2017-10-01 - 2022-09-30
    The possibilities and challenges of vehicle-to-everything communication (V2X communication) have been being researched for several years already. A popular means allowing for sufficient flexibility in the investigations whilst maintaining a relatively high level of detail is the simulation of such networks, which must take both the traffic as well as communication aspects into account. The simulation framework Veins developed at the chair has already proven to be a successful tool.
    A limitation of current V2X simulation frameworks is the assumption of a quasi-two-dimensional environment. The various influences of terrain shape, other road participants or communication across multiple road levels usually remain unconsidered. However, due to the mentioned aspects, many real-world traffic scenarios and thus vehicular networks exhibit a three-dimensional character, which is why it must be assumed that they can be analyzed only limitedly with current simulators.
    In this project, we seek to investigate whether the above-mentioned assumption holds true. For this purpose, conventional packet-based V2X simulation has to be extended accordingly in order to be able to simulate such scenarios at large scale. This also requires the implementation of new channel models that can realistically depict the three-dimensional character of complex scenarios with limited computational effort. To ensure correct results the new simulation models should be validated with the help of appropriate field tests. Furthermore, the computational effort of complex simulation scenarios is to be reduced by means of suitable techniques and possibly AI methods.
  • A Methodology to Provoke Near-Crash-Situations to Validate Automated Vehicle Functions

    (Non-FAU Project)

    Term: 2016-12-01 - 2020-05-31
  • ProHTA – Prospective Health Technology Assessment

    (Third Party Funds Group – Sub project)

    Overall project: Spitzencluster Medical Valley, Verbund Horizontale Innovationen
    Term: 2011-01-01 - 2015-03-31
    Funding source: BMBF / Spitzencluster


    The purpose of the "Prospective Health Technology Assessment Medical Valley EMN" (ProHTA) project is to set up a scientific service platform to assess innovative health technologies before they are launched on the market. ProHTA describes 1) The effect of new technologies and products on the quality and cost of healthcare; 2) Efficiency potential within the healthcare chain which can be leveraged with the aid of new technologies and products. Medical engineering is characterized by a high pace of innovation. It is therefore important for companies to understand in the early phase of the innovation process just what effect the introduction of technological innovations will have on the healthcare process, and what implications there are for the health system as a whole. ProHTA will pool and formalize knowledge on stakeholders, processes, effects and payments that is required for the prospective assessment and will also create simulation tools as a basis for more far-reaching analyses. By means of integration between technology and processes in modeled scenarios, it will be possible to show and assess the resulting effects on the individual stakeholders in the health system in terms of cost and benefit. Conclusions can then be reached regarding, for example, further development of innovations and the need for regulative adjustment (e.g. gaps in healthcare provision, payment situation, incentive mechanism) of the framework conditions in the health system.


Winter Term 2019/20

Winter Term 2018/19




Programme Committee Memberships and Review Duties

SIMULTECH’2018 (8th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, PC Member), Porto, Portugal

JOS’2017 (Journal of Simulation, Palgrave Macmillan, Reviewer)

EJOR’2017 (European Journal of Operational Research, Reviewer)

SIMULTECH’2017 (7th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, PC Member), Madrid, Spain

WSC’2017 (Winter Simulation Conference 2017, PC Member of the Hybrid Simulation Track), Las Vegas, NV

HEALTHINFO’2017 (International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, PC Member), Athens, Greece

EJOR’2016 (European Journal of Operational Research, Reviewer)

WSC’2016 (Winter Simulation Conference 2016, PC Member of the Hybrid Simulation Track and the Agent-Based Simulation track), Washington, D.C.

SIMULTECH’2016 (6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, PC Member), Lisbon, Portugal

HEALTHINFO’2016 (International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing, PC Member), Brussels, Belgium

ICCDMTA’2016 (International Conference on Cancer Diagnostic and Medical Treatment Approaches, PC Member), Rome, Italy

JOS’2015 (Journal of Simulation, Palgrave Macmillan, Reviewer)

WSC’2015 (Winter Simulation Conference 2015, PC Member of the Hybrid Simulation track and the Agent-Based Simulation track), Huntington Beach, CA

WSC’2014 (Winter Simulation Conference 2014, PC Member of the track on Big Data Simulation and Decision Making), Savannah, GA

EJOR’2014 (European Journal of Operational Research, Vol. 232, Issue 3, Reviewer)