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Javier Acevedo; Shahryar Sabouri; Shiwei Shen; Christoph Keller; Joerg Hopfe; Stefan Reichmuth; Patrick Hobi; Marco Dietrich; Kambiz Jamshidi; Frank H. P. Fitzek
High Bandwidth and Ultra Low-Latency Near IR Communication Network for CMOS-compatible Integrated Photonics Chips Proceedings Article
In: VDE ITG Fachtagung Photonische Netze 2022, 2022.
Abstract | BibTeX
@inproceedings{acevedo2022, title = {High Bandwidth and Ultra Low-Latency Near IR Communication Network for CMOS-compatible Integrated Photonics Chips}, author = {Javier {Acevedo} and Shahryar {Sabouri} and Shiwei {Shen} and Christoph {Keller} and Joerg {Hopfe} and Stefan {Reichmuth} and Patrick {Hobi} and Marco {Dietrich} and Kambiz {Jamshidi} and Frank H. P. {Fitzek}}, year = {2022}, date = {2022-05-19}, urldate = {2022-05-01}, booktitle = {VDE ITG Fachtagung Photonische Netze 2022}, abstract = {Photonic Integrated Circuit (PIC) have outperformed its electrical counterpart in terms of on-chip processing and power consumption by transmitting and computing optical signals at ultra-high speed, using less energy. However, fully functional optical transceivers are still rare. This work introduces the design and implementation of a tunable transceiver and an optical communication network on top of an external laser source, functioning in the near-Infrared (IR) range. The transceiver is composed of the integrated circuit of an optical chip, a hardware acceleration interface, and a customized Digital-toAnalog Converter (DAC) at the transmitter and receiver side. The photonic chip was designed and fabricated on CMOS compatible and represents an integrated Optical Phased Array (OPA), which modulates light for multi-channel beam control. The twodimensional beam steering relies on an array of waveguide grating couplers, which ensures high accuracy and directionality during the narrow beam radiation. In the longitudinal direction, the beam is steered by a wavelength tuning mechanism, while for the lateral direction, the lobe is controlled by a network of thermo-optical phase shifters. The hardware accelerator, a Multiprocessor System-on-Chip (MPSoC), computes the source data with random coefficient in Galois Fields (GF) to generate coded packets, which flow throughout the optical beams. Additionally, the accelerator is also responsible for the selection of the input voltage within the DACs to control the optical chip. To ensure successful packet transmission when the transmitter and receiver are in motion, a dynamic sliding window protocol based on Random Linear Network Coding (RLNC) was designed and implemented at the MAC layer. Extensive simulation demonstrates that our implementation results in an average packet success rate of 93.58 % with reduction in average delay.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
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Israel Leiva-Mayorga; Roberto Torre; Sreekrishna Pandi; Giang T. Nguyen; Vicent Plà Boscà; Jorge Martinez-Bauset; Frank H. P. Fitzek
A Network-coded Cooperation Protocol for Efficient Massive Content Distribution Proceedings Article
In: IEEE GLOBECOM 2018 Conference Proceedings, pp. 7, Technische Universität Dresden IEEE, Dubai, United Arab Emirates, 2018.
@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} }
Frank Gabriel; Giang T. Nguyen; Robert-Steve Schmoll; Juan A. Cabrera; Maciej Mühleisen; Frank H. P. Fitzek
Practical deployment of network coding for real-time applications in 5G networks Proceedings Article
In: CCNC, Las Vegas, 2018.
@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} }
Sreekrishna Pandi; Roberto Torre; Giang T. Nguyen; Frank H. P. Fitzek
Massive Video Multicasting in Cellular Networks using Network Coded Cooperative Communication Proceedings Article
In: 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC) (CCNC 2018), Las Vegas, USA, 2018.
@inproceedings{Pand1801:Massive, title = {Massive Video Multicasting in Cellular Networks using Network Coded Cooperative Communication}, author = {Sreekrishna {Pandi} and Roberto {Torre} and Giang T. {Nguyen} 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 = {The sharp increase in the video traffic and handheld devices in the last decade warrant for new paradigms of applications including massive video multicasting, such as in the football stadiums, or concert halls where multiple angles of the live feed could be multicasted to the users' smartphones or tablets. However, the current state-of-the-art cellular solution is simply individually unicast the video stream to each node, which is extremely resource-inefficient. In this demo, we show how we perform reliable massive video multicasting over standard LTE links by combining the principle of cooperative networking and Random Linear Network Coding. We offload the majority of the traffic from LTE onto Wifi multicasts, thus increasing the efficiency of the LTE channel usage by multiple orders of magnitude. This demo has been demonstrated at the Mobile World Congress 2017 as a part of Nokia's booth to demonstrate the 5G stadium experience.}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }
Maroua Taghouti; Daniel E. Lucani Rötter; Frank H. P. Fitzek
Random shift and xor of unequal-sized packets (RaSOR) to shave off transmission overhead Proceedings Article
In: 51st annual conference on information sciences and systems, CISS, Baltimore, 2017.
BibTeX
@inproceedings{Taghouti2017, title = {Random shift and xor of unequal-sized packets (RaSOR) to shave off transmission overhead}, author = {Maroua {Taghouti} and Daniel E. {Lucani R\"{o}tter} and Frank H. P. {Fitzek}}, year = {2017}, date = {2017-03-22}, booktitle = {51st annual conference on information sciences and systems, CISS, Baltimore}, keywords = {}, pubstate = {published}, tppubtype = {inproceedings} }