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Roberto Torre; Goiuri Peralta; Oleksandr Zhdanenko; Alexander Kropp; Hani Salah; Giang T. Nguyen; Stanislav Mudriievskyi; Frank H. P. Fitzek
Enhanced Driving with 5G: A New Approach for Alleviating Traffic Congestion Proceedings Article
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} }
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Sreekrishna Pandi; Frank Gabriel; Oleksandr Zhdanenko; Simon Wunderlich; Frank H. P. Fitzek
MESHMERIZE: An Interactive Demo of Resilient Mesh Networks in Drones Proceedings Article
In: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2019), Las Vegas, USA, 2019.
Abstract | BibTeX
@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} }
Muriel Medard; Simon Wunderlich; Sreekrishna Pandi; Frank Gabriel; Kerim Fouli
System and technique for sliding window network coding-based packet generation Patent
WO 2018/183694 Al, 2018.
Abstract | Links | BibTeX
@patent{CRLNC_Patent, title = {System and technique for sliding window network coding-based packet generation}, author = {Muriel {Medard} and Simon {Wunderlich} and Sreekrishna {Pandi} and Frank {Gabriel} and Kerim {Fouli}}, url = {https://patents.google.com/patent/WO2018183694A1}, year = {2018}, date = {2018-10-04}, number = {WO 2018/183694 Al}, location = {World Intellectual Property Organization \textendash International Bureau}, abstract = {A method and apparatus decode packetized data in the presence of packet erasures using a finite sliding window technique. A decoder receives packets containing uncoded and coded symbols. When a packet with a coded symbol is received, the decoder determines whether a packet sequence number is within a sliding window of w consecutive sequence numbers that are no greater than a decoder sequence number, where the number w is fixed prior to encoding. When this is the case, the decoder decodes the coded symbol into one or more of the w input symbols using the coefficient vector. Decoding may use a forward error correcting (FEC) window within the finite sliding window. Decoding also may use a technique of Gaussian elimination to produce a "shifted" row echelon coefficient matrix.}, keywords = {}, pubstate = {published}, tppubtype = {patent} }
Frank Gabriel; Simon Wunderlich; Sreekrishna Pandi; Frank H. P. Fitzek; Martin Reisslein
Caterpillar RLNC with Feedback (CRLNC-FB): Reducing Delay in Selective Repeat ARQ through Coding Journal Article
In: IEEE Access, 2018.
Links | BibTeX
@article{GabrielCRLNC, title = {Caterpillar RLNC with Feedback (CRLNC-FB): Reducing Delay in Selective Repeat ARQ through Coding}, author = {Frank {Gabriel} and Simon {Wunderlich} and Sreekrishna {Pandi} and Frank H. P. {Fitzek} and Martin {Reisslein}}, doi = {10.1109/ACCESS.2018.2865137}, year = {2018}, date = {2018-08-13}, journal = {IEEE Access}, keywords = {}, pubstate = {published}, tppubtype = {article} }
Robert-Steve Schmoll; Sreekrishna Pandi; Patrik J. Braun; Frank H. P. Fitzek
Demonstration of VR / AR offloading to Mobile Edge Cloud for low latency 5G gaming application Proceedings Article
In: 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2018), Las Vegas, USA, 2018.
@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} }