@inproceedings{Torre020:harq,

title = {A Random Linear Network Coded HARQ Solution for Lossy and High-Jitter Wireless Networks},

author = {Roberto {Torre} and Clara {Costa Sala} and Sreekrishna {Pandi} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-12-07},

booktitle = {2020 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (IEEE Globecom 2020 CQRM)},

journal = {2020 IEEE Global Communications Conference: Communication QoS, Reliability and Modeling (IEEE Globecom 2020 CQRM)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Peri2010:Maximizing,

title = {Maximizing Airtime Efficiency for Reliable Broadcast Streams in WMNs with Multi-Armed Bandits},

author = {Giovanni {Perin} and David {Nophut} and Leonardo {Badia} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-10-25},

booktitle = {2020 11th IEEE Annual Ubiquitous Computing, Electronics \& Mobile Communication Conference (UEMCON) (IEEE UEMCON 2020)},

address = {virtual, India},

abstract = {Wireless broadcast routing is a complex problem, shown in the literature to be NP-complete. Current protocols implement either heuristics to find solutions that are not guaranteed to be optimal or classic flooding. However, many future use cases, like automotive applications, industrial robotics and multimedia broadcast, will require efficient yet reliable methods. In this work, we use contextual multi-armed bandits together with opportunistic routing (OR) and network coding (NC) to find approximately optimal solutions to the problem of broadcast routing in a distributed fashion. Each router independently learns its own transmission credit, i.e., the number of packets to forward for each innovative packet received, so that the airtime cost, subject to latency constraints, is minimized. Results show that the proposed solutions, particularly the deep learning based one, vastly improve the verall reliability, while performing close to MORE multicast in terms of airtime and to B.A.T.M.A.N. in latency, both being the best candidates in the respective discipline among the tested ones.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Latzko2020,

title = {Use Case Driven Evolution of Network Coding Parameters Enabling Tactile Internet Applications},

author = {Vincent {Latzko} and Christian Leonard {Vielhaus} and Frank H. P. {Fitzek}},

year  = {2020},

date = {2020-06-06},

booktitle = {2020 IEEE International Conference on Communications (ICC): Communication Theory Symposium (IEEE ICC'20 \textendash CT Symposium)},

journal = {2020 IEEE International Conference on Communications (ICC): Communication Theory Symposium (IEEE ICC'20 \textendash CT Symposium)},

address = {Dublin, Ireland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torre2019b,

title = {Evaluating the Latency Overhead of Network-Coded Cooperative Networks for Different Cloud Sizes},

author = {Roberto {Torre} and Hani {Salah} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-10-01},

booktitle = {IEEE 5G World Forum's Secret Workshop},

address = {Dresden, Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torre20192,

title = {Network-coded Cooperative Communication in Virtualized Mobile Small Cells},

author = {Sarah {Irum} and Roberto {Torre} and Hani {Salah} and Gerrit {Schulte} and Frank H. P. {Fitzek}},

year  = {2019},

date = {2019-10-01},

booktitle = {IEEE 5G World Forum's Secret Workshop},

address = {Dresden, Germany},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Risc1904:No,

title = {No Plan Survives Contact with the Enemy: On Gains of Coded Multipath over MPTCP in Dynamic Settings},

author = {Frank {Gabriel} and Justus {Rischke} and Frank H. P. {Fitzek} and Maciej {M\"{u}hleisen} and Thorsten {Lohmar}},

year  = {2019},

date = {2019-04-15},

booktitle = {2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE 

WCNC 2019)},

address = {Marrakech, Morocco},

abstract = {Systems for assisted and autonomous driving increasingly depend on 

information received and updated through wireless communication. But 

wireless communication often faces performance degradation because of its 

dynamic nature. Using multiple available communication channels, such as 

WiFi, LTE or 5G New Radio, simultaneously can increase the throughput and 

reliability, but also increases the dynamics of the system. MPTCP estimates 

the channel capacity and latency and schedule packets accordingly. However, 

in conditions with unstable channels MPTCP fails to fully utilize the 

available capacity. In this paper, we propose the use of Network Coding to 

efficiently utilize the available resources. We use a channel agnostic, 

random scheduler to maximize the utilization of all available channels. 

This prevents underestimations, but also produces a high number of packet 

loss and duplicate transmissions. We use Network Coding to repair the 

losses and reduce the overhead of redundant data. Our implementation of 

this protocol is evaluated against MPTCP in an emulated multipath network 

with time-varying path properties. The evaluation shows, that the proposed 

protocol utilizes the channels efficiently even in unstable conditions. In 

the evaluated dynamic network, the proposed protocol efficiently utilizes 

94% of the available capacity, while MPTCP is below 80% due to 

underestimation. While our protocol is not suitable for general purpose 

traffic, it provides good performance for large file transfers in unstable 

wireless multipath networks.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Taghouti2019bb,

title = {Implementation of Network Coding with Recoding for Unequal-sized and Header Compressed Traffic},

author = {Maroua {Taghouti} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Malte {H\"{o}weler} and Daniel E. {Lucani R\"{o}tter} and Frank H. P. {Fitzek} and Ammar {Bouall\`{e}gue} and P\'{e}ter {Ekler}},

year  = {2019},

date = {2019-04-15},

booktitle = {IEEE Wireless Communications and Networking Conference},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@inproceedings{gabriel18network,

title = {Network Coding on Wireless Multipath for Tactile Internet with Latency and Resilience Requirements},

author = {Frank {Gabriel} and Javier {Acevedo} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-12-08},

booktitle = {2018 IEEE Global Communications Conference: Selected Areas in 

Communications: Tactile Internet (Globecom2018 SAC TI)},

abstract = {Many envisioned applications for the Tactile Internet require latencies 

that cannot be achieved by current wireless networks. In this paper, we 

present a method to optimize the reliability of a live stream using 

multiple paths. Compared to other approaches, our method does not rely on 

feedback to achieve the reliability and thus does not add delay for 

retransmission attempts. We use the diversity of multiple paths to 

compensate for the loss of capacity in individual paths. By using an FEC 

code to generate redundant data the transmission is more robust against 

fluctuations in capacity of single paths. We present an optimization 

problem to find a rate allocation for the paths that minimizes the 

interruptions of the stream. The performance is evaluated in an emulated 

network based on real-world measurements. The evaluation shows that the 

theoretical values can be achieved with a small margin. The optimized 

allocation of rates to the paths increases the reliability by up to 

12%.With coding the reliability can be increased by up to 20%, depending 

on the code rate.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{vu2018adaptivedecoding,

title = {Adaptive Decoding for Fulcrum Codes},

author = {Vu {Nguyen} and Juan A. {Cabrera} and Giang T. {Nguyen} and Frank {Gabriel} and Christopher {Lehmann} and Stanislav {Mudriievskyi} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-11-01},

urldate = {2018-11-01},

booktitle = {IEEE IEMCON},

address = {Vancouver, Canada},

howpublished = {accepted},

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{MTaghouti2018,

title = {Practical Compressed Sensing and Network Coding for Intelligent Distributed Communication Networks},

author = {Maroua {Taghouti} and Anil K. {Chorppath} and Tobias {Waurick} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-06-28},

publisher = {14th IEEE International Wireless Communications and Mobile Computing Conference (IWCMC)},

address = {Limassol, Cyprus},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{vu2018sparsefulcrum,

title = {Integrating sparsity into Fulcrum codes: Investigating throughput, complexity and overhead},

author = {Vu {Nguyen} and Giang T. {Nguyen} and Frank {Gabriel} and Daniel E. {Lucani R\"{o}tter} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-05-20},

booktitle = {IEEE ICC},

address = {Kansas City, US},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{gabriel2018multipath,

title = {Multipath Communication with Finite Sliding Window Network Coding for Ultra-Reliability and Low Latency},

author = {Frank {Gabriel} and Anil K. {Chorppath} and Ievgenii A. {Tsokalo} and Frank H. P. {Fitzek}},

doi = {10.1109/ICCW.2018.8403489},

isbn = {2474-9133},

year  = {2018},

date = {2018-05-19},

booktitle = {2018 IEEE International Conference on Communications Workshops (ICC Workshops)},

pages = {1-6},

address = {Kansas City, US},

abstract = {We use random linear network coding (RLNC) based scheme for multipath communication in the presence of lossy links with different delay characteristics to obtain ultra-reliability and low latency. A sliding window version of RLNC is proposed where the coded packets are generated using packets in a window size and are inserted among systematic packets in different paths. The packets are scheduled in the paths in a round robin fashion proportional to the data rates. We use finite encoding and decoding window size and do not rely on feedback for closing the sliding window, unlike the previous work. Our implementation of two paths with LTE and WiFi characteristics shows that the proposed sliding window scheme achieves better latency compared to the block RLNC code. It is also shown that the proposed scheme achieves low latency communication through multiple paths compared to the individual paths for bursty traffic by translating the throughput on both the paths into latency gain.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Taghouti2018bb,

title = {On the Design of a Joint Compressed Sensing and Network Coding Framework},

author = {Maroua {Taghouti} and Anil K. {Chorppath} and Tobias {Waurick} and Frank H. P. {Fitzek}},

year  = {2018},

date = {2018-05-03},

publisher = {European Wireless Conference},

address = {Catania, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tsokalo2018,

title = {Reliable Feedback Mechanisms for Routing Protocols with Network Coding},

author = {Ievgenii A. {Tsokalo} and Frank {Gabriel} and Sreekrishna {Pandi} and Frank H. P. {Fitzek} and Ralf {Lehnert}},

doi = {10.1109/ISPLC.2018.8360234},

isbn = {978-1-5386-1913-1},

year  = {2018},

date = {2018-04-11},

booktitle = {Proceedings of 2018 IEEE International Symposium on Power Line Communications and its Applications (ISPLC)},

volume = {1},

number = {1},

pages = {7},

publisher = {IEEE},

address = {Manchester, UK},

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

series = {1},

abstract = {PLC has the broadcast channel that enables overhearing and allows to use cooperative routing strategies. Opportunistic Routing (OpR) is a modern cooperative routing paradigm in broadcast channel networks such as PLC and wireless networks. In combination with Random Linear Network Coding (RLNC), it has been proven to increase the achievable data rate and reliability significantly. The reliability is supported by Automatic Repeat reQuest (ARQ) mechanisms. Traditional ARQs as Stop-And-Wait, Go-Back-N and Selective-Repeat are outperformed by the hybrid ARQs (HARQs). We analyze and compare six HARQs designed especially for protocols with Network Coding (NC). For this purpose, we propose a novel minimalistic evaluation setup. It reveals the disadvantages of each feedback (ARQ) mechanisms allowing an effective and fair comparison. We define performance metrics that indicate the reliability and efficiency and conduct the experiments using different NC parameters and the feedback frequency. We notice that some HARQs allow high reliability 

(packet loss \< 10 \^{O}\^{e}\AE4 ), while others have just a few percent protocol overhead. For such results, only one feedback per the code block is normally sufficient.},

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: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}

}

@inproceedings{Rodriguez2017,

title = {SECRET \textemdash Secure network coding for reduced energy next generation mobile small cells: A European Training Network in wireless communications and networking for 5G},

author = {Jonathan {Rodriguez} and Ayman {Radwan} and Cl\'{a}udia {Barbosa} and Frank H. P. {Fitzek} and Raed A. {Abd-Alhameed} and James M. {Noras} and Stephen M. R. {Jones} and Ilias {Politis} and Panagiotis {Galiotos} and Gerrit {Schulte} and Ashwain {Rayit} and Maria {Sousa} and Rui {Alheiro} and Xavier {Gelabert} and George P. {Koudouridis}},

year  = {2017},

date = {2017-09-12},

booktitle = {Internet Technologies and Applications (ITA), 2017},

abstract = {SECRET is a collaborative European Training Network (ETN) committed to create an excellent educational training platform for Early Stage Researchers (ESRs) in the field of wireless communications and networking for 5G. The project is recently funded by the European Commission under the H2020 research and innovation program, through the Marie Curie People Program. This project targets to narrow the gap between current networking technologies and the foreseen requirements of future 2020 networking, through the recruitment and training of 17 ESRs. SECRET aims to strike a note by delivering higher capacity, ability to support more users, and lowering the cost per bit by adopting technology trends widely accepted to form part of the 5G roadmap, through the deployment of new disruptive \^{O}\c{C}£femtocell\^{O}\c{C}\O type cells on demand, to what we refer to as mobile small cells. This will be complemented by a wireless high-speed fronthaul to bridge the small cell network to the core. Moreover, novel techniques will be investigated, including \^{O}\c{C}£network coding\^{O}\c{C}\O, \^{O}\c{C}£cooperation\^{O}\c{C}\O, and \^{O}\c{C}£energy-aware smart front-end\^{O}\c{C}\O. Additionally, due to the confidential information that will be communicated over in future networks, a lightweight security framework built on secure network coding will be proposed.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{MarouaEW,

title = {Random Linear Network Coding Schemes for Reduced Zero-Padding Overhead: Complexity and Overhead Analysis},

author = {Maroua {Taghouti} and Daniel E. {Lucani R\"{o}tter} and Frank H. P. {Fitzek} and Ammar {Bouall\`{e}gue}},

url = {http://ieeexplore.ieee.org/document/8011335/},

year  = {2017},

date = {2017-05-19},

publisher = {23rd European Wireless Conference},

address = {Dresden},

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{Cabrera2017,

title = {Taking the Trash Back In: Practical Joint Channel and Network Coding for Improving IEEE 802.11 Networks},

author = {Juan A. {Cabrera} and Giang T. {Nguyen} and Daniel E. {Lucani R\"{o}tter} and Morten V. {Pedersen} and Frank H. P. {Fitzek}},

url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=8011333\&isnumber=8011282},

year  = {2017},

date = {2017-05-01},

urldate = {2017-05-01},

booktitle = {European Wireless 2017; 23th European Wireless Conference},

pages = {1-5},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{8011290,

title = {Reliable IoT storage for sensor monitoring applications: Trading off early redundancy injection costs and repair costs},

author = {Xiaobo {Zhao} and Daniel E. {Lucani R\"{o}tter} and Xiaohong {Shen} and Haiyan {Wang} and Juan A. {Cabrera}},

url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=\&arnumber=8011290\&isnumber=8011282},

year  = {2017},

date = {2017-05-01},

urldate = {2017-05-01},

booktitle = {European Wireless 2017; 23th European Wireless Conference},

pages = {1-5},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tomoskozi2016Gobecom,

title = {Regression Model Building and Efficiency Prediction of RoHCv2 Compressor Implementations for VoIP},

author = {M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Patrick {Seeling} and P\'{e}ter {Ekler} and Frank H. P. {Fitzek}},

year  = {2016},

date = {2016-12-04},

booktitle = {2016 IEEE Global Communications Conference (GLOBECOM)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{7600898b,

title = {On network coded distributed storage How to repair in a fog of unreliable peers},

author = {Juan A. {Cabrera} and Daniel E. {Lucani R\"{o}tter} and Frank H. P. {Fitzek}},

doi = {10.1109ISWCS.2016.7600898},

year  = {2016},

date = {2016-09-01},

urldate = {2016-09-01},

booktitle = {2016 International Symposium on Wireless Communication Systems (ISWCS)},

pages = {188-193},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Taghouti2016b,

title = {Random linear network coding for streams with unequally sized packets: Overhead reduction without zero-padded schemes},

author = {Maroua {Taghouti} and Daniel E. {Lucani R\"{o}tter} and Morten V. {Pedersen} and Ammar {Bouall\`{e}gue}},

year  = {2016},

date = {2016-05-17},

booktitle = {IEEE 23rd International Conference on Telecommunications},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Taghouti2016me,

title = {On the impact of zero-padding in network coding efficiency with internet traffic and video traces},

author = {Maroua {Taghouti} and Daniel E. {Lucani R\"{o}tter} and Morten V. {Pedersen} and Ammar {Bouall\`{e}gue}},

year  = {2016},

date = {2016-05-16},

booktitle = {22th European Wireless Conference},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}