Research Projects

  • RABBIT@Scale - Transcoding Techniques for Real-time Applications
    RABBIT@Scale explores the scalability of real-time transcoding for dynamic, volumetric point cloud streams in telepresence applications in the SPIRIT project. The project adapts both software- and hardware-based components into a cloud-native transcoding-as-a-service framework. The focus lies on Video-based Point Cloud Compression (V-PCC) and the real-time adaptation of streams for heterogeneous clients with varying bandwidths. By integrating adaptive bitrate streaming (ABR), RABBIT@Scale dynamically serves optimized content based on clients’ network conditions. To evaluate system performance, scalability, and rate-distortion trade-offs, the framework is deployed on the SPIRIT infrastructure. The goal is to demonstrate how real-time volumetric media delivery can scale efficiently for demanding distribution use cases.
    Led by: Prof. Dr.-Ing. Amr Rizk
    Team: Michael Rudolph
    Year: 2025
    Funding: Horizon Europe
  • CLAYRE - Cross-layer Resilience for Criticality-aware Wireless Networks
    Emerging wireless applications in healthcare, transportation, and industrial automation require strict reliability and low-latency guarantees, which are challenging to provide as wireless networks face channel variability, blockages, and sudden traffic surges. This challenge is aggravated with the emergence of mixed-critical traffic combining critical, time-sensitive traffic, such as sensor and control flows, with non-critical application traffic. State-of-the-art approaches address only isolated aspects of resilience, lacking a solution to ensure consistent performance for mixed-critical applications. This project bridges this gap by designing a cross-layer resilience framework for criticality-aware wireless communication systems. In clear contrast to established research on steady-state behavior we aim to design resilient mechanisms with transient guarantees. Our approach integrates physical layer robustness and adaptation mechanisms with flow-level queueing and scheduling mechanisms. A key focus is on criticality-aware schemes, prioritizing flows based on their time- or age-criticality, and leveraging event-triggered mechanisms based on real-time performance indicators such as Age of Information (AoI) and Value of Information (VoI). Our goal is to establish fundamental principles and novel concepts for designing resilient and future-proof wireless systems capable of supporting highly demanding mixed-critical applications.
    Led by: Prof. Dr.-Ing. Amr Rizk
    Team: Nairong Liu
    Year: 2025
    Funding: Deutsche Forschungsgemeinschaft (DFG)
    Duration: 10/2025 - 09/2028
  • OpEHRA – Open Ear Headphone Response Advancements
    The OpEHRA project investigates innovative approaches for the enhancement of listening experience with ultra-open headphones.
    Led by: Prof. Dr. Jürgen Peissig
    Team: Benjamin Pries, Baptiste Fourrier
    Year: 2025
    Funding: Huawei Munich Research Center
    Duration: 03/2025 - 03/2027
  • ENVELOPE - Evaluation and validation of connected mobility in real open systems beyond 5GS
    5G adv. and 6G aim to expand the set of supported verticals and provide enhanced capabilities beyond connectivity. 5G CAM vertical services are a broad range of services in and around vehicles, including both safety-related and other services enabled or supported by 5G. 5GS has been built as a modular architecture to support any vertical running on top in a vertical-agnostic manner. However, it is realized that certain verticals (like CAM) have specific and strict requirements. Although significant progress has been made in supporting verticals, the corresponding necessary configuration of the network and end-devices is a time-consuming manual process that requires tight coordination at technical and business levels across the verticals, the vendors, the network operator, and even the end-users. This hinders not only the greater adoption of 5GS but also the uptake of novel CAM UCs and the modernization of existing ones that require a tighter integration with the underlying network. The main objective of ENVELOPE is to advance and open up the reference 5G adv. architecture, and also to transform it into a vertical-oriented with the necessary interfaces tailored to the CAM UCs that i) expose network capabilities to verticals, ii) provide vertical-information to the network; iii) enable verticals to dynamically request and modify certain network aspects in an open, transparent and easy to use, semi-automated way. ENVELOPE aims to deliver 3 large-scale B5G trial sites in Italy, Netherlands and Greece for CAM services and beyond, implementing functionalities tailored to the CAM services and advanced exposure capabilities. Although focused on the CAM vertical, the resulting developments will be reusable by any vertical. The ENVELOPE architecture will serve as an envelope that can cover, accommodate and support any type of vertical services.
    Led by: Prof. Dr.-Ing. Amr Rizk
    Team: Nehal Baganal Krishna, Jannis Weil
    Year: 2024
    Funding: HORIZON Europe JU-SNS
    Duration: 01/2024 - 12/2026
  • KRISPIPHY - Kopfhörerentwurf mit systematischer Parametervariation und Evaluation physikalischer und perzeptiver Effekte
    Led by: Prof. Dr. Jürgen Peissig
    Team: Roman Kiyan, Stephan Preihs
    Year: 2024
    Funding: Bundesministerium für Wirtschaft und Klimaschutz (BMWK, ZIM, Förderkennzeichen: KK5597201)
    Duration: 05/2024 - 04/2026
  • ADINeMo - Age- and Deviation-of-Information of Signal-agnostic and Signal-aware Sensor Sampling in Networked Monitoring
    Wir betrachten ein System mit einem Sensor, der abgetastet wird. Die Abtastwerte werden über ein latenzbehaftetes Netzwerk an einen entfernten Monitor übertragen. Eine wichtige Leistungsmetrik solcher Systeme ist die Age-of-Information, die die Aktualität der Sensordaten am entfernten Monitor quantifiziert. Generell besteht das Ziel darin, eine Abtaststrategie zu finden, die die Age-of-Informationen minimiert. Bei zeitgesteuerten Systemen werden zu bestimmten Zeitpunkten Abtastwerte genommen, die Abtastung ist also signalagnostisch. Eine signalbewusste Abtastung erfolgt in ereignisgesteuerten Systemen, bei denen ein definiertes Sensorereignis einen Schwellwert überschreitet, die Übertragung eines neuen Abtastwerts auslöst. In diesem Projekt werden wir Age-of-Information-bezogene, aber signalbewusste Metriken betrachten, die die tatsächliche Abweichung der Information, die Deviation-of-Information, am entfernten Monitor vom aktuellen Sensorsignal berücksichtigen. Wir werden signalbewusste Abtaststrategien entwickeln und ihre Deviation-of-Information-Leistungsfähigkeit bewerten.
    Led by: Prof. Dr.-Ing. Markus Fidler
    Team: Mahsa Noroozi, Flavio Gallistl
    Year: 2024
    Funding: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 520006080
    Duration: 01/2024 - 12/2026
  • VaMoS 2 - Validated Models of MapReduce Scaling - Phase 2
    The goal of the VaMoS project is to bridge the gap between systems-oriented research and queueing theoretic works on parallel systems to create models which reflect the performance of real systems and their scaling behavior. This document reports on the first phase of this project, and proposes an extension to the project with a work program that builds on the successes and developments in the field over the last few years.
    Led by: Prof. Dr.-Ing. Markus Fidler
    Team: Brenton Walker
    Year: 2024
    Funding: Deutsche Forschungsgemeinschaft (DFG), Projektnummer:
  • PODIUM - PDI connectivity and cooperation enablers building trust and sustainability for CCAM
    In PoDIUM, using and enhancing the facilities of 3 well-equipped Living Labs in Germany, Italy and Spain we define a rich set of demanding CCAM UCs to identify and assess all the connectivity and cooperation enablers and needs that will allow the proposed higher levels of automation. Building on the proposed UCs (urban and highway - incl. cross-border setups), which will be demonstrated and validated in real-life conditions, PoDIUM will tackle all the different requirements for availability and performance of connectivity as well as the different cooperation enablers per UC. The proposed UCs aim to advance a set of key technologies both in the physical and digital part of the infrastructure. A multi-connectivity approach is followed to ensure reliability, availability and redundancy of the PDI system (i.e. ITS-G5, 5G, LTE, 5G mmWave, 60GHz-WiFi, etc.). As part of the proposed PDI system, a distributed, interoperable and hybrid (MEC and cloud-based) data management environment will be implemented, which will include suitable advanced environment perception models and digital twins to facilitate seamless and efficient exchange of data (in low latency), thus enabling real-time analytics and opening up new business opportunities. Software integrity and data truthfulness of external data are important aspects that will be considered throughout the PDI to address existing gaps. New and standardised C-ITS messages will be integrated to support advanced functionalities, whereas new designs of RSUs and OBUs will allow advanced environmental modelling and digital twins based on locally generated data. Last but not least, a major focus will be laid on the integration of VRUs in the overall PDI. All those elements will be integrated under the umbrella of the three layered PoDIUM reference architecture, which is flexible and applicable in different road environments based on the available infrastructure equipment enabling different kinds of services.
    Led by: Prof. Dr.-Ing. Amr Rizk
    Team: Nehal Baganal Krishna
    Year: 2023
    Duration: 2023-2025
  • PRAD – Adaptive und Dynamische Personenlenkung zur Selbst- und Fremd-Rettung
    Im Verbundvorhaben PRAD bearbeitet das Institut für Kommunikationstechnik ein Teilvorhaben mit dem Titel Personen- und Umgebungserkennung auf Basis von Radarsignalen. Hierbei soll in eine oder mehrere Rettungszeichenleuchte(n) ein Radar-Sensor verbaut werden, der es ermöglicht den betreffenden Raum in Bezug auf anwesende selbstrettungsunfähige Personen oder veränderte Umgebungsbedingungen zu überwachen und Hinweise über die von den anderen Projektpartnern zu entwickelnden Kommunikationsschnittstellen an Rettungskräfte zu übermitteln.
    Led by: Prof. Jürgen Peissig
    Team: Daphne Schössow, Stephan Preihs
    Year: 2023
    Funding: BMBF (Förderkennzeichen 13N16651)
    Duration: 11/2023 - 10/2026
  • Hooray – Exploring the Performance Boundaries of a Head Worn Microphone-Array for Deep Learning based Dynamic Acoustic Scene Analysis
    This research project explores the use of head-mounted micro-electro-mechanical systems (MEMS) microphone arrays for direction of arrival (DOA) estimation using deep learning models. Advances in MEMS technology, especially in size and sound quality, allow these microphones to be integrated into devices such as augmented/mixed/virtual reality (XR) glasses, enhancing applications such as hearing aids, hearing protection, and entertainment. A key area of focus is how head motion, in particular the variation of the head-above-torso orientation (HATO) affects the accuracy of sound source localization. To gain insight into the decision making of deep learning models, interpretability techniques, such as layer-wise relevance propagation (LRP), will be applied on the trained models. The primary goals are to evaluate the performance of head-mounted arrays compared to state-of-the-art sound localization methods, e.g. based on spherical microphone arrays or binaural signals from a dummy head, and to determine the microphone quantities required to achieve comparable performance. This analysis involves both generating and evaluating synthetic data sets as well as testing in real-world scenarios.
    Led by: Prof. Dr. Jürgen Peissig
    Team: Nils Poschadel, Stephan Preihs
    Year: 2023
    Funding: Deutsche Forschungsgemeinschaft (DFG), Projektnummer: 517437545
    Duration: 03/2023 - 02/2026
  • USWA – Ultra Scalable Wireless Access
    Im Vorhaben USWA werden Technologien für 6G Funkkommunikation erforscht, die Übertragungen mit extrem niedriger Latenz und äußerst hoher Zuverlässigkeit ermöglichen.
    Led by: Prof. Dr. Jürgen Peissig
    Team: Hassan Ahmad, Awais Bin Asif
    Year: 2022
    Funding: Bundesministerium für Bildung und Forschung (BMBF, Förderkennzeichen: 16KISK254)
    Duration: 11/2022 - 10/2025
  • MERCI – Media and Event production via Resillient Communication on IoT Infrastructure
    Das MERCI-Projekt zielt darauf ab, innovative Lösungen für private 5G-Netze zu entwickeln, die auf DECT-2020 NR basieren.
    Led by: Prof. Dr. Jürgen Peissig
    Team: Alexander Poets, Mattes Waßmann
    Year: 2022
    Funding: Bundesministerium für Wirtschaft und Klimaschutz (BMWK, Förderkennzeichen: 01MJ22016D)
    Duration: 11/2022 - 04/2025
  • Zukunftslabor Mobilität
    Das Zukunftslabor Mobilität ist mit dem Ziel entstanden, die Entwicklung von Transportsystemen und mobilitätsunterstützenden IT-Systemen zu fördern, die sich in die bestehende Infrastruktur integrieren. Für zukünftige Verkehrsmodelle mit stetig wachsender Vernetzung werden Kommunikationskonzepte entwickelt.
    Led by: Prof. Dr.-Ing. Thomas Vietor (Koordination)
    Team: Prof. Dr.-Ing. Markus Fidler, Vincent Wolff, M.Sc.
    Year: 2020
    Duration: 5 Jahre
  • GRK SocialCars – Kooperatives (de)zentrales Verkehrsmanagement
    Methoden und Anwendungen des dezentralen und kooperativen Verkehrsmanagements im urbanen Raum durch Einbeziehung neuer technologischer Entwicklungen der Car-to-X-Kommunikation
    Led by: Prof. Dr.-Ing. Bernhard Friedrich (Sprecher)
    Year: 2014
    Funding: DFG
    Duration: 1/2014 - 3/2023

Finished Projects

  • ie-leap – In-ear Listening Experience Enhancement Processing
    Im Projekt ie-leap werden innovative Ansätze zur Verbesserung des Hörerlebnisses bei In-Ear-Kopfhörern insbesondere im Hinblick auf die Wiedergabe von Spatial Audio erforscht.
    Led by: Prof. Dr. Jürgen Peissig
    Team: Roman Kiyan, Benjamin Pries
    Year: 2023
    Funding: Huawei Munich Research Center
    Duration: 12/2022 - 06/2023
  • WEA-Akzeptanz-Data – Datenplattform für Benchmark & Validierung
    Das Ziel des Projektes ist der Aufbau und die Umsetzung einer strukturierten Ablage für die in dem Vorgängerprojekt WEA-Akzeptanz gewonnenen Messdaten, die sowohl als anonymisierte Rohdaten als auch als anonymisierte, mit Methoden des Maschinellen Lernens verarbeitete Daten auf einer geeigneten Open-Access-Plattform der Leibniz Universität Hannover zum Download verfügbar gemacht werden. Die Messdaten werden bereitgestellt, um dem wichtigen Ziel der Validierung verschiedener Simulations- und Rechenmodelle zu dienen. Der Aufbau der Plattform wird als Benchmark schrittweise vorgenommen und dokumentiert und kann somit als Vorlage für ähnliche Aktivitäten der Community gelten.
    Led by: Prof. Dr.-Ing. habil. Raimund Rolfes, Prof. Dr. Jürgen Peissig
    Team: Daphne Schössow, Stephan Preihs
    Year: 2021
    Funding: BMWK
    Duration: 10/2021 - 04/2023
  • Wagner 3.0
    Immersive Klangumgebungen und ihr Potenzial für das Musik-Erleben
    Led by: Prof. Dr. Reinhard Kopiez (Koordination), Prof. Dr. Jürgen Peissig
    Team: Jakob Bergner, M. Sc., Dr.-Ing. Stephan Preihs, Daphne Schössow, M. Sc., Roman Kiyan, M. Sc.
    Year: 2019
    Funding: Niedersächsiches Ministerium für Wissenschaft und Kultur
    Duration: 11/2019 - 10/2022
  • VRACE
    Virtual Reality Audio for Cyber Environments
    Led by: Prof. Dr. techn. Wilfried Kausel (Koordination), Prof. Dr. Jürgen Peissig
    Team: Yuqing Li, M.Sc.
    Year: 2019
    Funding: Horizon 2020 Marie Skłodowska-Curie Actions - Innovative Training Networks
    Duration: 03/2019 - 02/2023
  • EnBinExt
    Enhanced Binaural Externalization
    Led by: Prof. Dr. Jürgen Peissig
    Team: Song Li, M.Sc., Roman Schlieper, M.Sc.
    Year: 2018
    Funding: Huawei Innovation Research Program FLAGSHIP (HIRP FLAGSHIP)
    Duration: 11/2016 - 11/2018
  • LIPS - CISS
    Live Interactive PMSE Services - Connected Immersive Smart Services
    Led by: Prof. Dr. Jürgen Peissig
    Team: Marcel Nophut, M.Sc., Robert Hupke, M.Sc., Dr.-Ing. Stephan Preihs
    Year: 2018
    Funding: Bundesministerium für Wirtschaft und Energie (Förderkennzeichen 01MD18010G)
    Duration: 04/2018 - 12/2020
  • FeelMaTyC
    Machine-Type Communication mit einer zentralen Basisstation und tausenden von umgebenden transmit-only Knoten.
    Led by: Prof. Dr. Jürgen Peissig, Prof. Dr.-Ing. Markus Fidler
    Team: Sami Akin, Maxim Penner
    Year: 2017
    Funding: Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 329885056
    Duration: 06/2017 - 06/2020
  • VIA²mobiL
    Generierung virtueller interaktiver akustischer Soundszenen für eine verbesserte Audiokommunikation in mobilen Leitstellen
    Led by: Prof. Dr. Jürgen Peissig
    Team: Nils Poschadel, M.Sc., Dr.-Ing. Stephan Preihs
    Year: 2017
    Funding: Bundesministerium für Wirtschaft und Energie (BMWi, Förderkennzeichen: ZF4298802LF7)
    Duration: 09/2017 - 08/2019
  • WEA-Akzeptanz
    Objektivierte Vorhersage und Beurteilung der Schallemissionen von Windenergieanlagen
    Led by: Prof. Dr.-Ing. Raimund Rolfes (Koordination), Prof. Dr. Jürgen Peissig
    Team: Jakob Bergner, M. Sc., Dr.-Ing. Stephan Preihs, Daphne Schössow, M. Sc.
    Year: 2017
    Funding: BMWi (Förderkennzeichen 0324134A)
    Duration: 04/2017 - 10/2020
  • PMSE-xG
    Innovative Audio-Publikumsdienste für mobilfunkbasierte Live-Events
    Led by: Prof. Dr. Jürgen Peissig
    Team: Robert Hupke M.Sc., Marcel Nophut M.Sc.
    Year: 2017
    Funding: BMVI (Förderkennzeichen DG12/8331.3-4 PMSE-xG)
    Duration: 10/2016 - 03/2018
  • LADB
    Linearisierung von analogen und digitalen Broadcasting Signalen
    Led by: Prof. Dr. Jürgen Peissig, Dr.-Ing. Sanam Moghaddamnia
    Team: Dr.-Ing. Sanam Moghaddamnia, Dipl.-Ing. Martin Fuhrwerk
    Year: 2016
    Funding: BMWI (Förderkennzeichen ZF4298801ED6)
    Duration: 10/2016 - 9/2018
  • SoundGaitSymmetry
    Signalanalyse und Signalverarbeitungsverfahren zur mobilen autonomen Bewertung der Gangqualität und zur effizienten Vertonung von Bewegungsabläufen (Sonifikation)
    Led by: Dr.-Ing. Sanam Moghaddamnia, Prof. Dr. Jürgen Peissig
    Team: Javier Conte Alcaraz, M.Sc., Dr.-Ing. Sanam Moghaddamnia
    Year: 2014
    Funding: BMWI
    Duration: 9/2014-9/2016
  • CONFINE
    Crowd-Shared Mesh Network for Universal Internet Access
    Led by: Prof. Dr. Panagiotis Papadimitriou
    Team: Ahmed Abujoda, David Dietrich
    Year: 2014
    Funding: EU FP7 (FP7-ICT-2011-7)
    Duration: 1/2/2014 - 31/1/2015
  • Adaptive Modellierung der nicht-linearen DRM-Sendereffekte zur Reduktion der Betriebs- und Hardwarekosten von Hochleistungssendern
    Led by: Prof. Dr. Jürgen Peissig, Dr.-Ing. Albert Waal
    Team: Dr.-Ing. Sanam Moghaddamnia
    Year: 2013
    Funding: BMWI
    Duration: 9/2013 - 9/2015
  • Entwicklung, Erstellung und Validierung eines innovativen DRM+ Diversitäts-Empfängersystems zur Leistungsverbesserung der Audioqualität
    Entwicklung, Validierung und Realisierung eines Verfahrens zur Das Institut für Kommunikationstechnik übernimmt hierbei die theoretischen Untersuchungen von Kombinationen aus geeigneten Diversitäts- und Combiningverfahren,Synchronisations-, Kanalschätz- und Kanalentzerrungsmethoden. Ziel ist die Auswahl, Entwicklung und Verifikation der dazu benötigten Algorithmen.
    Led by: Prof. Dr. Jürgen Peissig
    Team: Friederike Maier
    Year: 2013
    Funding: BMWI
    Duration: 2/2011- 1/2013
  • T-NOVA
    Network Functions as-a-Service over Virtualised Infrastructures
    Led by: Prof. Dr. Panagiotis Papadimitriou
    Team: David Dietrich
    Year: 2013
    Funding: EU FP7 (FP7-ICT-2013.1.1: Future Networks)
    Duration: 1/1/2014 - 31/12/2016
  • UnIQue
    Non-equilibrium Information and Capacity Envelopes: Towards a Unified Information and Queueing Theory
    Led by: Prof. Dr.-Ing. Markus Fidler
    Year: 2012
    Funding: Europäischer Forschungsrat (ERC)
    Duration: 5 Jahre
  • LAVINET
    Algorithms and Communication Protocols for Multi-Domain Virtual Network Provisioning
    Led by: Prof. Dr. Panagiotis Papadimitriou
    Team: David Dietrich
    Year: 2011
    Funding: L3S / Niedersächsisches Ministerium für Wissenschaft und Kultur (MWK)
    Duration: 2 years
  • CoRAS
    Exploitation of cognitive and cooperative techniques for enhanced resource management in wireless networks
    Led by: Dr.-Ing. Sami Akni
    Team: Sami Akin, Christoph König, Martin Fuhrwerk
    Year: 2011
    Duration: 09/2011-09/2013
  • C-PMSE
    Verbesserung der Frequenznutzung und der Koexistenz mit Blick auf Systeme der drahtlosen Veranstaltungs- und Produktionsmittel sowie der Konferenztechnik (PMSE)
    Led by: Prof. Dr.-Ing. Markus Fidler
    Team: Michael Bredel, Waldemar Gerok, Andrej Tissen
    Year: 2011
    Duration: 26 Monate
  • WiMAX in Niedersachsen
    Wireless Broadband Access Technology for rural areas.
    Led by: Prof. Dr.-Ing. Markus Fidler, Prof. Dr.-Ing. Thomas Kaiser
    Team: Anggia Anggraini, Andrej Tissen, Christoph Thein, Leonid Tomaschpolski, Zhao Zhao
    Year: 2010
    Funding: Stiftung Zukunfts- und Innovationsfonds Niedersachsen
    Duration: 2 years
  • RoboLoc
    RoboLoc - Infrastructure-Aided Localisation with UWB Antenna Arrays
    Led by: Prof. Dr.-Ing. Thomas Kaiser
    Team: Sebastian Sczyslo
    Year: 2010
    Funding: Deutsche Forschungsgemeinschaft (DFG)
    Duration: 10/2007 - 09/2010
  • Digitales Radio (DRM+) mit innovativen Sendekonzepten
    Entwicklung und Testbetrieb von innovativen DRM+ Sendekonzepten (Senderdiversität, Gleichwellenbetrieb).
    Led by: Prof. Dr.-Ing. Thomas Kaiser
    Team: Andrej Tissen
    Year: 2010
    Funding: Stiftung Zukunfts- und Innovationsfonds Niedersachsen
    Duration: 05/2009 – 05/2011
  • Wireless Communication in GBit/s range
    EUWB - Coexisting Short Range Radio by AdvancEd Ultra-WideBand Radio Technology
    Led by: Dr.-Ing. Claus Kupferschmidt
    Year: 2010
    Duration: 04/2008 – 07/2011
  • G-Lab VirtuRAMA
    Link and router virtualization for the Future Internet.
    Led by: Prof. Dr.-Ing. Markus Fidler, Prof. Dr. Panagiotis Papadimitriou
    Team: Zdravko Bozakov, David Dietrich
    Year: 2009
    Funding: Bundesministerium für Bildung und Forschung (BMBF)
    Duration: 2 years
  • ProPerBounds
    An approach to derive probabilistic performance bounds for communication systems using stochastic network calculus.
    Led by: Prof. Dr.-Ing. Markus Fidler
    Team: Zdravko Bozakovl, Amr Rizk, Markus Fidler
    Year: 2009
    Funding: Deutsche Forschungsgemeinschaft (DFG)
    Duration: 5 years
  • Modellversuch DRM/DRM+
    Erprobung der digitalen Hörfunkübertragung im lokalen Bereich mit dem System DRM (Digital Radio Mondiale) in Hannover.
    Led by: Prof. Dr.-Ing. Thomas Kaiser
    Team: Friederike Maier
    Year: 2009
    Funding: Niedersächsische Landesmedienanstalt
    Duration: 2005-2010
  • NetMeter
    A Probabilistic Network Calculus Approach to Measurement-based Bandwidth Estimation.
    Led by: Prof. Dr.-Ing. Markus Fidler
    Team: Ralf Lübben
    Year: 2009
    Funding: Deutsche Forschungsgemeinschaft (DFG)
    Duration: 2.5 years
  • C3World
    Protocols for wireless In-Car and Car-to-X communication
    Led by: Prof. Dr.-Ing. Markus Fidler
    Team: Kim Bartke-Minack, Henrik Schumacher, Christoph König, Hugues Tchouankem
    Year: 2009
    Funding: Niedersächsisches Ministerium für Wissenschaft und Kultur (MWK)
    Duration: 5 years
  • PLANETS
    New innovative approaches for a cooperative management of road traffic based on Car-to-X communication.
    Led by: Prof. Dr.-Ing. Markus Fidler
    Team: Hugues Tchouankem, Henrik Schumacher
    Year: 2009
    Funding: Niedersächsische Technische Hochschule (NTH)
    Duration: 2 years