@inproceedings{Wu2020b,

title = {Adaptive Extraction-Based Independent Component Analysis for Time-Sensitive Applications},

author = {Huanzhuo {Wu} and Yunbin {Shen} and Jiajing {Zhang} and Hani {Salah} and Ievgenii A. {Tsokalo} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Selected Areas in Communications: Internet of Things and Smart Connected Communities (Globecom2020 SAC IoTSCC)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lehmann20CAVS,

title = {A MEC-assisted Vehicle Platooning Control through Docker Containers},

author = {Salvatore {Dabbene} and Christopher {Lehmann} and Claudia {Campolo} and Antonella {Molinaro} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-10-05},

booktitle = {2020 IEEE 3rd Connected and Automated Vehicles Symposium: IEEE CAVS 2020},

address = {Victoria, Canada},

abstract = {The Multi-access Edge Computing (MEC) paradigm allows several automotive applications to be offloaded from the vehicles to the edge. Besides a higher computation capability, compared to the on-board vehicle, and the shorter latency, compared to the remote cloud, the edge offers additional (context) information that is not directly available at the vehicle, e.g., via data fusion from multiple sources. In this paper we propose a high-level architecture for MEC-assisted platooning control. Within the architecture, the longitudinal controller is conceived as a virtualized application running on an edge server, and aligned with the European Telecommunications Standard Insti-tute (ETSI) MEC reference framework. Performance assessment conducted through an experimental realistic framework, coupling a vehicular mobility simulator and Docker containers, showcases the feasibility and effectiveness of our proposal.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Osman19,

title = {Sandnet: Towards High Quality of Deception in Container-based Microservice Architectures},

author = {Amr {Osman} and Pascal {Br\"{u}ckner} and Hani {Salah} and Frank H. P. {Fitzek} and Thorsten {Strufe} and Mathias {Fischer}},

year  = {2019},

date = {2019-05-20},

booktitle = {2019 IEEE International Conference on Communications (ICC)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nccnet-model,

title = {A Network-coded Cooperation Protocol for Efficient Massive Content Distribution},

author = {Israel {Leiva-Mayorga} and Roberto {Torre} and Sreekrishna {Pandi} and Giang T. {Nguyen} and Vicent {Pl\`{a} Bosc\`{a}} and Jorge {Martinez-Bauset} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-08-15},

booktitle = {IEEE GLOBECOM 2018 Conference Proceedings},

volume = {1},

number = {1},

pages = {7},

publisher = {IEEE},

address = {Dubai, United Arab Emirates},

organization = {Technische Universit\"{a}t Dresden},

series = {1},

abstract = {Massive content delivery in cellular networks is in the spotlight of the research community as data traffic is increasing at an incredibly fast pace. The existing LTE-A implementation for content broadcast presents several issues such as indoor coverage, along with low energy and spectral efficiency. Therefore, novel systems that provide efficient massive content delivery and reduced energy consumption are needed. In this paper we present a massive content distribution protocol that combines the benefits of cooperative mobile clouds (CMCs) with Random Linear Network Coding (RLNC) through multicast WiFi links. Our main goal is to offload data traffic from the LTE-A link and to reduce the energy consumption at the cooperating UEs. We solve the problem of excessive signaling that oftentimes arises in cooperative approaches by eliminating feedback messages within the CMCs. Instead, we provide a simple but accurate analytic model to correctly configure the number of coded transmissions to be performed within the CMCs. Results show that energy savings of more than 37 percent can be achieved with our protocol when compared to direct content download from the cellular base station. Furthermore, bandwidth utilization at the LTE-A link is sharply reduced.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{WuWunderlichTaghoutiFitzek2018,

title = {Towards a Flexible Architecture for Industrial Networking},

author = {Michael {Karrenbauer} and Amina {Fellan} and Hans D. {Schotten} and Henning {Buhr} and Savita {Seetaraman} and Norbert {Niebert} and Stephan {Ludwig} and Anne {Bernardy} and Vasco {Seelmann} and Volker {Stich} and Andreas {Hoell} and Christian {Stimming} and Huanzhuo {Wu} and Simon {Wunderlich} and Maroua {Taghouti} and Frank H. P. {Fitzek} and Christoph {Pallasch} and Nicolai {Hoffmann} and Werner {Herfs} and Elena {Eberhardt} and Thomas {Schildknecht}},

year  = {2018},

date = {2018-04-16},

journal = {23th VDE/ITG Conference on Mobile Communication (23. VDE/ITG Fachtagung Mobilkommunikation), Osnabr\"{u}ck, May 2018},

organization = {23th VDE/ITG Conference on Mobile Communication (23. VDE/ITG Fachtagung Mobilkommunikation), Osnabr\"{u}ck, May 2018},

abstract = {The digitalization of manufacturing processes is expected to lead to a growing interconnection of production sites, as well as machines, tools and work pieces. In the course of this development, new use-cases arise which have challenging requirements from a communication technology point of view. In this paper we propose a communication network architecture for Industry 4.0 applications, which combines new 5G and non-cellular wireless network technologies with existing (wired) fieldbus technologies on the shop floor. This architecture includes the possibility to use private and public mobile networks together with local networking technologies to achieve a flexible setup that addresses many different industrial use cases. It is embedded into the Industrial Internet Reference Architecture and the RAMI4.0 reference architecture. The paper shows how the advancements introduced around the new 5G mobile technology can fulfill a wide range of industry requirements and thus enable new Industry 4.0 applications. Since 5G standardization is still ongoing, the proposed architecture is in a first step mainly focusing on new advanced features in the core network, but will be developed further later.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Gabriel-2017,

title = {Practical deployment of network coding for real-time applications in 5G networks},

author = {Frank {Gabriel} and Giang T. {Nguyen} and Robert-Steve {Schmoll} and Juan A. {Cabrera} and Maciej {M\"{u}hleisen} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-01-12},

urldate = {2018-01-12},

booktitle = {CCNC},

address = {Las Vegas},

abstract = {The 5G communication system will provide flexible and programmable networks by leveraging softwarization technologies such as NFV and SDN. That advanced feature of 5G networks will be demonstrated in the context of real-time video surveillance for public safety. Specifically, we demonstrate for the first time a practical deployment of Random Linear Network Coding (RLNC) with NFV and SDN technologies to improve video quality against packet loss due to congestion at the core network and signal impairment of lossy channels at network edges. The demonstration implements NFV and SDN applications on COTS devices to prove its flexibility and portability.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Pand1801:Demonstration,

title = {Demonstration of VR / AR offloading to Mobile Edge Cloud for low latency 5G gaming application},

author = {Robert-Steve {Schmoll} and Sreekrishna {Pandi} and Patrik J. {Braun} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-01-01},

booktitle = {2018 15th IEEE Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2018)},

address = {Las Vegas, USA},

abstract = {Future 5G mobile communication networks aim to provide many more use cases 

not only for people but also for connecting machines. Some of these 

applications, like VR/AR and automation, call for low latencies, which 

cannot be achieved by aggregated data centres. Also, for VR/AR, offloading 

of computation will be a key element to bring new experiences to mobile 

devices. In order to fulfil low latency, outsourcing of computation and 

mobility, the Mobile Edge Cloud (MEC) will play a key role in 5G 

networking. This demo shows an implementation of a VR game in an MEC with 

the capability to move game servers across the world without service 

interruption},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Chorppath2017,

title = {Network Coded Caching and D2D Cooperation in Wireless Networks},

author = {Anil K. {Chorppath} and Jens {Hackel} and Frank H. P. {Fitzek}},

year  = {2017},

date = {2017-05-17},

booktitle = {European Wireless 2017},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Pandi-DemoCars,

title = {Demonstration of 5G Connected Cars},

author = {Sreekrishna {Pandi} and Frank H. P. {Fitzek} and Simone {Redana}},

url = {http://ieeexplore.ieee.org/document/7983187/},

year  = {2017},

date = {2017-01-01},

booktitle = {2017 14th IEEE Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2017)},

pages = {684-685},

address = {Las Vegas, USA},

abstract = {This demonstration proposal shows the benefit of connected cars over 

autonomous cars or cars controlled by street signs. The demo comprises six 

miniature cars that can be controlled over a wireless network while they 

are driving on a street with an intersection. The audience can always 

interact with the cars by stopping them at any place of the track and watch 

the system react to prevent any potential collision. The cars are 

controlled by a mobile edge cloud that is placed in an emulated network by 

Nokia. By using an Xbox Kinect, ultrasonic, and infrared sensors in the 

cars to emulate GPS and radar functionalities of a real car, this setup 

accurately mimics the ecosystem of a futuristic connected traffic scenario.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}