@inproceedings{2022statemeasurement,

title = {Towards Stateless Core Networks: Measuring State Access Patterns},

author = {Malte {H\"{o}weler} and Zuo {Xiang} and Franz {H\"{o}pfner} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-07-01},

urldate = {2022-07-01},

booktitle = {KuVS Fachgespr\"{a}ch - W\"{u}rzburg Workshop and Modeling, Analysis and Simulation of Next-Generation Communication Networks 2022 (WueWoWas'22)},

address = {W\"{u}rzburg, Germany},

note = {to appear},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Soss2206:5GMobile,

title = {Private 5G Solutions for Mobile Industrial Robots: A Feasibility Study},

author = {Peter {Sossalla} and Justus {Rischke} and Fabian {Baier} and Sebastian A. W. {Itting} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-30},

urldate = {2022-06-30},

booktitle = {27th IEEE Symposium on Computers and Communications (ISCC 2022)},

address = {Rhodes island, Greece},

abstract = {Mobile robots are an essential part of the vision of flexible production in a smart factory. To monitor and connect the robots, reliable and low latency communication is necessary. In this work, we conduct packet-based active measurements to evaluate the performance of a state-of-the-art 5G standalone system in a production environment. The focus is on whether 5G connections can meet the requirements specified by 3GPP in terms of delay and reliability. The results indicate that without cross-traffic, the requirement of a delay of less than 10 ms for 99.9 % of the packets can be met for the remote control and fleet management of mobile robots. However, as soon as cross-traffic is injected, especially in the uplink, the upper percentiles of the delay increase significantly, thus failing to hold the reliability requirements.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Senk2206:Flexible,

title = {Flexible Measurement Testbed for Evaluating Time-Sensitive Networking in Industrial Automation Applications},

author = {Stefan {Senk} and Marian {Ulbricht} and Javier {Acevedo} and Giang T. {Nguyen} and Patrick {Seeling} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-26},

urldate = {2022-06-01},

booktitle = {2022 IEEE 8th International Conference on Network Softwarization (NetSoft) 

(NetSoft 2022)},

address = {Milan, Italy},

abstract = {Deterministic communications are required for industrial environments, yet 

their realization is a challenging task. Time-Sensitive Networking (TSN) is 

intended to enable deterministic communication over inexpensive Ethernet 

networks. Standardized by the IEEE TSN working group, TSN enables precise 

control of time synchronization, traffic shaping, reliability enhancements, 

and network administration to answer the demands of industrial control 

applications. Subsequently, there is a significant need to enable turnkey 

research and 

implementation efforts. However, a current lack of open-sourced testbed 

implementations to investigate and study the behavior of TSN network 

devices limits verification to simulation and theoretical models. We 

introduce a publicly available, flexible, and open-sourced measurement 

testbed for evaluating TSN in the context of industrial automation 

applications to address the need to perform real-world measurements. In 

this contribution, we describe our testbed combining 

Commercial-Off-The-Shelf (COTS) hardware and existing open-source tools as 

a platform for in-depth evaluation of TSN devices. Providing detailed TSN 

backgrounds, we describe an in-depth performance analysis for our 

implementation. For a common Tactile Internet scenario, we observe an 

accuracy of close to 5 ns achievable with our publicly available COTS 

setup.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Risc2206:Empirical,

title = {Empirical Study of 5G Downlink \& Uplink Scheduling and its Effects on Latency},

author = {Justus {Rischke} and Christian Leonard {Vielhaus} and Peter {Sossalla} and Sebastian A. W. {Itting} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-14},

urldate = {2022-06-01},

booktitle = {2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and 

Multimedia Networks (WoWMoM) (WoWMoM 2022)},

address = {Belfast, United Kingdom (Great Britain)},

abstract = {5G campus networks, whose advantages include 

flexible deployment, can be a promising candidate for production 

plants to complement existing Wifi-based networks. Toward 

that goal, 5G has to satisfy strict requirements about real-time 

communication to facility novel use cases. However, the realtime- 

capability of 5G is not well understood yet. In this work, we 

deliver insights into the functioning of 5G NR RAN Release 

15, which includes actual one-way delay and Round-Trip Time 

(RTT) measurements for Downlink and Uplink in a private 5G 

Standalone campus network. The extensive measurement results 

reveal that these delays are correlated, and the corresponding 

RTT, i.e. the sum of Downlink and Uplink delays, is discreetly 

clustered, ranging between 12ms and 40ms. The measurements 

also show that the distribution of RTTs is mainly dependent on 

the packet rates and their inter-arrival times. Our study helps 

expand the current understanding of 5G used for latency-critical 

applications. We make the code and the measurement data traces 

publicly available as the IEEE DataPort 5G Campus Networks: 

Measurement Traces dataset (DOI 10.21227/xe3c-e968).},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Zimm2206:Grade,

title = {Grade to the Edge: How Many Unreliable Nodes Does It Take to Break a Content Delivery Network?},

author = {Sandra {Zimmermann} and Paul {Schwenteck} and Juan A. {Cabrera} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-14},

urldate = {2022-06-14},

booktitle = {2022 IEEE 23rd International Symposium on a World of Wireless, Mobile and 

Multimedia Networks (WoWMoM) (WoWMoM 2022)},

address = {Belfast, United Kingdom (Great Britain)},

abstract = {Delivering content from a network via a client-server architecture is 

expensive not only for content owners but also for network operators. 

Moving content closer to the end user is already used in Content Delivery 

Networks (CDN). Mobile Edge Cloud (MEC) enables us to shift the content 

even closer by using the storage of end users. But, due to the large media 

files, storage and transport costs for peers increase significantly. 

Network Coding can reduce these costs. However, peers in CDNs tend to be 

highly fluctuating and often need to be restored, making continuous 

availability of data at the network edge a problem. While for uncoded data, 

individual packets lost due to peer failures can be tracked to determine 

availability, the availability of coded data is currently distinguished 

only in two cases: either there are still enough linearly independent 

packets to decode the file, or there are not. However, we have found that 

the network's combined coded cache loses quality over time due to recovery. 

This quality loss, which we refer to as grade, can be measured by very 

cost-effective monitoring. If the grade falls below a certain limit, we can 

intervene in the network by performing a cache refresh to prevent data 

becoming unavailable preemptively. In this paper, we present the cases in 

which such monitoring is useful, how the grade is calculated, and when a 

cache refresh is necessary. The results show that we can reduce network 

traffic by up to 34 % with minimal storage costs through efficient 

monitoring.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Zhan2206:Evaluation,

title = {Evaluation of an Intelligent Task Scheduling Algorithm for 6G 3D Networking},

author = {Jiajing {Zhang} and Huanzhuo {Wu} and Shiwei {Shen} and Riccardo {Bassoli} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-14},

urldate = {2022-06-14},

booktitle = {2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022)},

address = {Palermo, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{nguyen2022melecon,

title = {A Good Horse Only Jumps as High as Needed: Multi-Field Fulcrum Codes for Heterogeneous Decoders},

author = {Vu {Nguyen} and Juan A. {Cabrera} and Javier {Acevedo} and Christian {Scheunert} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-14},

urldate = {2022-06-14},

booktitle = {2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022)},

address = {Palermo, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{hofmann0622melecon,

title = {MC NFV: Molecular Communication NFV in 6G Networks},

author = {Pit {Hofmann} and Riccardo {Bassoli} and Frank H. P. {Fitzek} and Martin {Reisslein}},

year  = {2022},

date = {2022-06-14},

urldate = {2022-06-14},

booktitle = {2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022)},

address = {Palermo, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2206:You,

title = {You Only Hear Once: Lightweight In-Network AI Design for Multi-Object Anomaly Detection},

author = {Huanzhuo {Wu} and Jia {He} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Jiajing {Zhang} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-06-13},

urldate = {2022-06-01},

booktitle = {2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON) (MELECON 2022)},

address = {Palermo, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@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}

}

@inproceedings{Zhan2205:Deep,

title = {Deep Learning-based Energy Optimization for Electric Vehicles Integrated Smart Micro Grid},

author = {Jiajing {Zhang} and Huanzhuo {Wu} and Riccardo {Bassoli} and Riccardo {Bonetto} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-05-01},

urldate = {2022-05-01},

booktitle = {2022 IEEE International Conference on Communications (ICC): Green Communication Systems and Networks Symposium (IEEE ICC'22 - GCSN Symposium)},

address = {Seoul, Korea (South)},

abstract = {\"{A}pplying renewable energy in smart micro grid (MG) is increasingly receiving attention to reducing greenhouse gas emissions. However, the mismatch between supply and demand hinders the realization of this process. With the widespread use of Electrical Vehicles (EVs) and the development of emerging Mobile Edge Clouds (MECs), intelligent energy optimization becomes a way to the addressee the challenge. Therefore, in this paper, we propose a novel two-stage approach based on Deep Learning (DL) to reduce overall energy cost for sharing EVs integrated MG by forecasting its state and optimizing EVs scheduling. Our simulation results show that the joint design of forecasting and optimization reduces the overall energy consumption and the payment to the external grid."},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{lengerke2022,

title = {Stopping the Data Flood: Post-Shannon Traffic Reduction in Digital-Twins Applications},

author = {Caspar {von Lengerke} and Alexander {Hefele} and Juan A. {Cabrera} and Frank H. P. {Fitzek}},

doi = {10.1109/NOMS54207.2022.9789759},

issn = {2374-9709},

year  = {2022},

date = {2022-04-25},

urldate = {2022-04-25},

booktitle = {NOMS 2022-2022},

pages = {1-5},

abstract = {Digital Twin (DT) implementations can reduce latency drastically in future communication systems for steering and control of cyber-physical systems (CPS). When the CPS and its DT periodically exchange information to repair possible desynchronisations between the two systems, this can lead to large data traffic flooding the networks. This work proposes a goal-oriented communication approach based on message identification (ID), which only sends repair data when necessary, but adds control traffic and a probability of not repairing some desynchronisations between the two systems. We compare optimal ID codes and a hash function for detection whether desynchronisation correction is necessary. Our method can reduce the traffic to within 0.3 % of its optimal value while repairing 99.97 % of all desynchronisations for 4 kbit of data and grows even better for larger data.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Bonafini22,

title = {3D Cloud-RAN Functional Split to Provide 6G Connectivity on Mars},

author = {Stefano {Bonafini} and Claudio {Sacchi} and Fabrizio {Granelli} and Riccardo {Bassoli} and Frank H. P. {Fitzek} and Koteswararao {Kondepu}},

year  = {2022},

date = {2022-03-05},

urldate = {2022-03-05},

booktitle = {2022 IEEE Aerospace Conference},

pages = {1-13},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Soss2201:OWD,

title = {Enhanced One-Way Delay Monitoring with OpenFlow},

author = {Peter {Sossalla} and Justus {Rischke} and Frank H. P. {Fitzek}},

doi = { 10.1109/ICOIN53446.2022.9687289},

year  = {2022},

date = {2022-01-12},

urldate = {2022-01-12},

booktitle = {2022 IEEE 36th International Conference on Information Networking (ICOIN 2022)},

address = {Jeju Island, Korea},

abstract = {Network monitoring is an important task in future networks to mitigate outages, guarantee low latency and high throughput, and quickly adapt to changes of network conditions. Software-Defined Networking (SDN) enables dynamic adaptation to changing network environments through the ability to program network behavior. However, to react properly to changing environments, precise and credible information about performance metrics such as latency is necessary. Recent research activities exploited OpenFlow, an SDN protocol, to measure delays inside the network, without the need for additional hard- or software. In this paper, we propose an improved method to measure one-way delays, which can handle asymmetrical delays between the SDN controller and the switches. We implemented our approach in a hardware testbed to evaluate it in a setup with asymmetrical delays and traffic loads. The results show that we are able to measure asymmetrical delays in the network. Additionally, the proposed solution is capable of discovering the network topology and therefore gives together with the performance metrics the information for efficient routing decisions. In addition, we make the source code of our implementation publicly available.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann22:JAVRIS,

title = {JAVRIS: Joint Artificial Visual Prediction and Control for Remote-(Robot) Interaction Systems},

author = {Andreas I. {Grohmann} and Johannes V. S. {Busch} and Adrian {Bretschneider} and Christopher {Lehmann} and Frank H. P. {Fitzek}},

doi = {10.1109/CCNC49033.2022.9700532},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2022)},

address = {Las Vegas, USA},

abstract = {In recent years, robots are taking on more and more tasks throughout many different application domains. Many of those robots work fully automatically and without human intervention. However, more complex tasks still require to be done by a human in remote control. One example would be robot remote surgery. Remote controlling a robot requires ultra-low latency on the communication, to allow fast and precise movements. To make this possible with today's systems, the human operator must be in the same room. Enabling the operator to operate from anywhere around the world, would bring a huge benefit as travels for highly trained experts can be minimized. In order to allow wider distances between the operator and robot, we propose an AI-based prediction. Predicting the robots behavior can generate negative latency, which improves the precision of control. In large-scale communication networks, the main part of experienced latency comes from the propagation delay and is therefore not avoidable. Predicting upcoming data before it actually arrives, can create a zero-latency experience for the human operator. To prove this idea in the context of remote robot control, we propose JAVRIS. Using the CMIYC demonstrator as example, JAVRIS improved the score of an inexperienced user by over 1000%.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sossalla2201:Offloading,

title = {Offloading Robot Control with 5G},

author = {Peter {Sossalla} and Justus {Rischke} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

doi = { 10.1109/CCNC49033.2022.9700709},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2022)},

address = {Las Vegas, USA},

abstract = {Simultaneous Localization and Mapping (SLAM), among other critical 

functions of mobile robots, such as navigation, are computationally 

expensive. When deployed at the robot, those functions demand high energy 

consumption and result in shorter operation time. Offloading SLAM to an 

Edge Cloud (EC) can significantly reduce the robot's computing demand and 

resources, subsequently reducing energy consumption. We offload 

intelligence of mobile robot control functionality, i.e., navigation, 

localization, and control to an EC. The EC processes sensor data and sends 

the robot the directional velocities. Meanwhile, a 5G wireless connection 

ensures the necessary low latencies and high throughputs. We demonstrate 

the feasibility of offloading SLAM and navigation in an EC based on a use 

case in automotive production. Additionally, we developed a digital twin of 

the robot and visualized its current sensor data.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2201:Demonstration,

title = {Demonstration of In-Network Audio Processing for Low-Latency Anomaly Detection in Smart Factories},

author = {Huanzhuo {Wu} and Yunbin {Shen} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Giang T. {Nguyen} and Frank H. P. {Fitzek}},

doi = { 10.1109/CCNC49033.2022.9700506},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tomo2201:Bitteiler,

title = {Bitteiler: Demonstration of Efficient and Private Massive Industrial IoT Communications},

author = {M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Maroua {Taghouti} and Huanzhuo {Wu} and Frank H. P. {Fitzek}},

doi = { 10.1109/CCNC49033.2022.9700509},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann22:BakeryRoboty,

title = {BakeryRobot: 5G connected robot for SMEs},

author = {Andreas I. {Grohmann} and Christopher {Lehmann} and Thomas {H\"{o}schele} and Frank H. P. {Fitzek}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-08},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wagn2201:Tactile,

title = {Tactile Electronics Meets Softwarised Networks},

author = {Jens {Wagner} and Helmuth {Morath} and Jiajing {Zhang} and Florian {Wieczorek} and Lisa-Marie {L\"{u}neburg} and Frank H. P. {Fitzek} and Giang T. {Nguyen}},

year  = {2022},

date = {2022-01-08},

urldate = {2022-01-01},

booktitle = {2022 IEEE 19th Annual Consumer Communications \& Networking Conference (CCNC) (CCNC 2022)},

address = {virtual},

abstract = {Empowered by the shallow latency softwarised networks, the envisioned Tactile Internet with Human in the Loop (TaHiL) requires tactile electronics to infer human intention. Their integration, even though critical, lacks a detailed discussion in the literature. This paper highlights the critical roles of integrating tactile electronics and softwarised networks aiming at increasing adaption. We systematically address three components of such integration, namely the wireless frontend and medium access, data compression, and adaptation. Finally, we present eGlove, a prototypical wireless sensor testbed to capture the position of the hand and the motion of each finger, a significant step to future evaluation.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Lehmann21:CooperationIn5G,

title = {On the Challenges and Performance of Cooperative Communication in 5G and B5G Systems},

author = {Christopher {Lehmann} and Riccardo {Trivisonno} and Sreekrishna {Pandi} and Clarissa {Marquezan} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-12-07},

urldate = {2021-12-07},

booktitle = {IEEE Global Communications Conference},

address = {Madrid, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu21:InNetworkProcessingAcousticData,

title = {In-Network Processing Acoustic Data for Anomaly Detection in Smart Factory},

author = {Huanzhuo {Wu} and Yunbin {Shen} and Xun {Xiao} and Artur {Hecker} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-12-07},

urldate = {2021-12-01},

booktitle = {2021 IEEE Global Communications Conference: IoT and Sensor Networks (Globecom2021 IoTSN)},

address = {Madrid, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu21:InNetworkProcessingLowLatency,

title = {In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks},

author = {Huanzhuo {Wu} and Jia {He} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Zuo {Xiang} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-12-07},

urldate = {2021-12-01},

booktitle = {2021 IEEE Global Communications Conference: Next-Generation Networking and Internet (Globecom2021 NGNI)},

address = {Madrid, Spain},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9685568,

title = {Autonomous Network Traffic Classifier Agent for Autonomic Network Management System},

author = {Claire Naiga {Serugunda} and Sisay Tadesse {Arzo} and Fabrizio {Granelli} and Riccardo {Bassoli} and Michael {Devetsikiotis} and Frank H. P. {Fitzek}},

doi = {10.1109/GLOBECOM46510.2021.9685568},

year  = {2021},

date = {2021-12-07},

urldate = {2021-01-01},

booktitle = {2021 IEEE Global Communications Conference (GLOBECOM)},

pages = {1-6},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9682098,

title = {Sensor-Based Satellite IoT for Early Wildfire Detection},

author = {How-Hang {Liu} and Ronald Y. {Chang} and Yi-Ying {Chen} and I-Kang {Fu}},

doi = {10.1109/GCWkshps52748.2021.9682098},

year  = {2021},

date = {2021-12-07},

urldate = {2020-12-07},

booktitle = {2021 IEEE Globecom Workshops (GC Wkshps)},

pages = {1-6},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Senk21:CampusTestbed,

title = {5G NSA and SA Campus Network Testbeds for Evaluating Industrial Automation},

author = {Stefan {Senk} and Sebastian A. W. {Itting} and Jennifer {Gabriel} and Christopher {Lehmann} and Thomas {H\"{o}schele} and Frank H. P. {Fitzek} and Martin {Reisslein}},

year  = {2021},

date = {2021-11-10},

booktitle = {European Wireless 2021},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Schw2111:Analytical,

title = {Analytical Performance Investigation of CRLNC in Single Hop Communication},

author = {Paul {Schwenteck} and Rico {Radeke} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-11-10},

booktitle = {European Wireless 2021},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ulbricht21:hwswTSN,

title = {Emulation vs. Reality: Hardware and Software Co-Design in Emulated and Implemented Time-Sensitive Networks},

author = {Marian {Ulbricht} and Javier {Acevedo} and Surik {Krdoyan} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-11-10},

booktitle = {European Wireless 2021},

address = {Verona, Italy},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Palaios2110:Effect,

title = {Effect of Spatial, Temporal and Network Features on Uplink and Downlink Throughput Prediction},

author = {Alexandros {Palaios} and Christian Leonard {Vielhaus} and Daniel Fabian {K\"{u}lzer} and Philipp {Geuer} and Raja {Sattiraju} and Jochen {Fink} and Martin {Kasparick} and Cara {Watermann} and Gerhard P. {Fettweis} and Frank H. P. {Fitzek} and Hans D. {Schotten} and Slawomir {Stanczak}},

year  = {2021},

date = {2021-10-13},

urldate = {2021-10-13},

booktitle = {2021 IEEE 4th 5G World Forum (5GWF) (5G-WF'21)},

address = {Montreal, Canada},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Ulbricht21:PreciseFruits,

title = {Precise Fruits: Hardware Supported Time-Synchronisation on the RaspberryPI},

author = {Marian {Ulbricht} and Javier {Acevedo} and Surik {Krdoyan} and Frank H. P. {Fitzek} },

year  = {2021},

date = {2021-09-22},

booktitle = {2021 International Conference on Smart Applications, Communications and Networking (SmartNets): Industry 40 and Connected Factory},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Schw2109:Theoretical,

title = {Performance Analysis of Caterpillar RLNC in Multi-Hop Communication},

author = {Paul {Schwenteck} and Elif {Tasdemir} and Rico {Radeke} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-09-12},

booktitle = {IEEE PIMRC 2021},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Pala2109:Network,

title = {Network Under Control: Multi-Vehicle E2E Measurements for AI-Based QoS Prediction},

author = {Alexandros {Palaios} and Philipp {Geuer} and Jochen {Fink} and Daniel Fabian {K\"{u}lzer} and Fabian {G\"{o}ttsch} and Martin {Kasparick} and Daniel {Sch\"{a}ufele} and Rodrigo {Hernang\'{o}mez} and Sanket {Partani} and Raja {Sattiraju} and Atul {Kumar} and Friedrich {Burmeister} and Andreas {Weinand} and Christian Leonard {Vielhaus} and Frank H. P. {Fitzek} and Gerhard P. {Fettweis} and Hans D. {Schotten} and Slawomir {Stanczak}},

year  = {2021},

date = {2021-09-12},

urldate = {2021-09-01},

booktitle = {2021 IEEE 32nd Annual International Symposium on Personal, Indoor and 

Mobile Radio Communications (PIMRC) (IEEE PIMRC 2021)},

address = {virtual},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Sossalla21:EdgeSLAM,

title = {Evaluating the Advantages of Remote SLAM on an Edge Cloud},

author = {Peter {Sossalla} and Justus {Rischke} and Johannes {Hofer} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-09-07},

booktitle = {2021 IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2021)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9492677,

title = {A Translator as Virtual Network Function for Network Level Interoperability of Different IoT Technologies},

author = {Sisay Tadesse {Arzo} and Francesco {Zambotto} and Fabrizio {Granelli} and Riccardo {Bassoli} and Michael {Devetsikiotis} and Frank H. P. {Fitzek}},

doi = {10.1109/NetSoft51509.2021.9492677},

year  = {2021},

date = {2021-06-28},

urldate = {2021-01-01},

booktitle = {2021 IEEE 7th International Conference on Network Softwarization (NetSoft)},

pages = {416-422},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Wu2106:Abstraction,

title = {Abstraction-based Multi-object Acoustic Anomaly Detection for Low-complexity Big Data Analysis},

author = {Huanzhuo {Wu} and Jia {He} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-06-14},

booktitle = {WS17 IEEE ICC 2021 Workshop on Communication, Computing, and Networking in Cyber-Physical Systems (WS17 ICC'21 Workshop - CCN-CPS)},

address = {Montreal, Canada},

abstract = {In the deployments of cyber-physical systems, specifically predictive maintenance and Internet of Things applications, a staggering amount of data can be harvested, transmitted, and recorded. Although the collection of large data sets can be used for many solutions, its utilization is made difficult by the increased overhead on the transmission and limited processing capabilities of the underlying physical system. For such highly correlated and extensive data, this situation is usually described as data-rich, information-poor. We propose for the first time a novel one-stage method, called Information-Abstraction-Net (IA-Net), for the detection of abnormal events in multi-object anomaly detection scenarios by 

utilizing highly abstracted sensory information instead of the entire sampled data set to elevate the transmission and analysis needs of the system. We find that the computation complexity of IA-Net is reduced by half compared to competing solutions and the detection accuracy is increased by about 5-47%, as well.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tasd2021:Sliding,

title = {Sliding Window RLNC on Multi-Hop Communication for Low Latency},

author = {Elif {Tasdemir} and Juan A. {Cabrera} and Frank {Gabriel} and Dongho {You} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-04-25},

urldate = {2021-04-25},

booktitle = {2021 IEEE 93rd Vehicular Technology Conference: VTC2021-Spring},

address = {Helsinki, Finland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tasd2021:LowLatency,

title = {Low-latency Sliding-window Recoding},

author = {Elif {Tasdemir} and M\'{a}t\'{e} {T\"{o}m\"{o}sk\"{o}zi} and Hani {Salah} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-04-25},

booktitle = {2021 IEEE 93rd Vehicular Technology Conference: VTC2021-Spring},

address = {Helsinki, Finland},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{9120818,

title = {Do not Waste the Waste: Packetized Rateless Algebraic Consistency for IEEE 802.11 Networks},

author = {Juan A. {Cabrera} and Raphael {Steppert} and Frank {Gabriel} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-03-29},

urldate = {2021-03-29},

booktitle = {2021 IEEE Wireless Communications and Networking Conference (WCNC)},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Torr2101:Benchmarking,

title = {Benchmarking Live Migration Performance under Stressed Conditions},

author = {Roberto {Torre} and Robert-Steve {Schmoll} and Florian {Kemser} and Hani {Salah} and Ievgenii A. {Tsokalo} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {Live migration is a technology that seamlessly relocates a virtualized service between physical hosts, which allows services to rapidly adapt to environmental changes. Despite the large amount of research, mainly aiming at minimizing the downtime, there is still a lack of understanding of its performance using the most common off-the-shelf virtualization technologies, namely docker containers and KVM. Understanding the barriers of live migration will give companies the knowledge on whether the migration is possible or not, when the migration needs to be triggered, how many resources the migration will use, and under which conditions the migration will be successful. Moreover, it helps to detect bottlenecks, and also to identify which parts of the migration need to be improved. Towards a better understanding of live migration, we build a testbed and use it to migrate a computation-intensive application with docker and KVM. We evaluate the service downtime, migration time, and network usage under different conditions. The results show that KVM outperforms docker in most of the scenarios, with some critical exceptions where only docker manages to perform migration.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{SeeFit2101:Anticipatory,

title = {Anticipatory Networking: Negative Latency for Ubiquitous Computing},

author = {Patrick {Seeling} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

 (CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {Future networks relying on models in their applications, e.g., control loops in the Tactile Internet, will exhibit a need to have model parameters available before interactions take place. This anticipatory delivery of model weights effectively results in required negative latencies for the overall services. We provide an exemplary motivation based on advertising to mobile users that is optimized by user-modeled preferences. We employ this example for our discussion of anticipatory networking in this paper, with an overall focus on the overarching concepts.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Kropp2021,

title = {Reliable Control for Robotics - Hardware Resilience Powered by Software},

author = {Alexander {Kropp} and Mario {Schwalbe} and Ievgenii A. {Tsokalo} and Martin {S\"{u}\sskraut} and Robert-Steve {Schmoll} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {Industry 4.0 is now much more than just a buzzword. However, with the advancement of automation through digitization and softwarization of dedicated hardware, applications are also becoming more susceptible to random hardware errors in the calculation. This cyber-physical demonstrator uses a robotic application to show the effects that even single bit flips can have in the real world due to hardware errors. Using the graphical user interface including the human machine interface, the audience can generate hardware errors in the form of bit flips and see their effects live on the robot. In this paper we will be showing a new technology, the SIListra Safety Transformer (SST), that makes it possible to detect those kind of random hardware errors, which can subsequently make safety-critical applications more reliable.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Grohmann2021,

title = {Catch Me If You Can: Demonstration of Publicly Remote Controlled Robots},

author = {Andreas I. {Grohmann} and Alexander {Kropp} and Christopher {Lehmann} and Ievgenii A. {Tsokalo} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {This demonstrator enables remote audiences to control robots within our lab. The purpose is to play a little game in order to show remote control over the public internet. Users are able to interact with the demo remotely through the web interface. This demonstrates an straight forward approach for remote robot operation independent from a specific device. Any current web browser running on a commercial off-the-shelf computer or mobile phone can be used to interact with the demo. However, it also shows the limitations of this kind of robot control. Dependent on the user's location and network connection, different amounts of latency come into play. Within this demo this effects the difficulty, as only fast or precise movements are possible.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Groh2101:Interference,

title = {Interference resilience of Thread: A practical performance evaluation},

author = {Andreas I. {Grohmann} and David {Nophut} and Marek {Sobe} and Adrian {Bretschneider} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-09},

booktitle = {2021 IEEE 18th Annual Consumer Communications \& Networking Conference 

(CCNC) (CCNC 2021)},

address = {Las Vegas, USA},

abstract = {Currently, most IoT services are hosted centralized 

in a cloud. However, they rely on data gathered by numerous 

distributed sensors, which require to be connected to these clouds. 

At the moment this is realized with non-IP based proprietary 

wireless sensor networks that use inflexible networking concepts 

and require to be carefully configured. 

The Thread protocol, with its implementation OpenThread, is 

a new wireless mesh approach to solve this problem. OpenThread 

is maintained by the Thread group, which is an organization 

supported by almost 300 companies, including Google, Amazon, 

and Apple. Its design is based on an IPv6, for seamless integration 

in existing IP networks. 

This work, after a short a practical overview of the Thread 

protocol in general, investigates the network performance in 

different interference scenarios based on results from a hardware 

testbed, set up in an office building. This testbed is based on 

the Nordic Semiconductor nRF52840 System on a Chip (SoC), 

running OpenThread from the official github repository. Besides 

a thorough examination for round-trip-time (RTT) and losses, a 

stability test was performed over five weeks, to see the impact 

of interference during business hours. We measured RTTs in 

the range of 10 to 100 ms and losses up to 40% depending 

on interfering wireless services. Despite its obvious advantages, 

from our experimental results, it is evident how some practical 

limitations make OpenThread not always a good choice.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Tasd2021:JointCoding,

title = {Joint Application of Sliding Window and Full-Vector RLNC for Vehicular Platooning},

author = {Elif {Tasdemir} and Christopher {Lehmann} and Frank H. P. {Fitzek}},

year  = {2021},

date = {2021-01-01},

booktitle = {2021 11th Annual Computing and Communication Workshop and Conference (CCWC)},

address = {Las Vegas, USA},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Acev2111:Hardware,

title = {Hardware Accelerated Cryptography for Tactile Internet},

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

year  = {2021},

date = {2021-01-01},

booktitle = {European Wireless 2021 (EW 2021)},

address = {Verona, Italy},

abstract = {Tactile Internet (TI) applications such as industry automa-tion, connected 

autonomous cars, augmented reality and remotesurgery, are based on secure 

data transmissions at a very lowend-to-end latency. In order to fulfill 

those requirements in real applications, it is necessary to implement 

traffic encryption on the physical layer rather than the application layer. 

Nevertheless, the aforementioned integration is a computing intensive task, 

in which many arithmetic operations are involved. Therefore, hardware 

acceleration may be a solution to provide enough throughput, while 

maintaining low power consumption. In this paper we present the 

implementation of hardware acceleratorsfor cryptographic algorithms on 

heterogeneous multi-core dedicated hardware, using the state-of-the-art 

WolfSSL software embedded library. By comparing our implementation to 

software-only solutions in terms of throughput and delay using variabledata 

sets, we find performance improvements up to three orders of magnitude as 

well as around 80% latency reductions in the computing time.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{Fitz2109:Frontiers,

title = {Frontiers of Transdisciplinary Research in Tactile Internet with Human-in-the-Loop},

author = {Frank H. P. {Fitzek} and Shu-Chen {Li} and Stefanie {Speidel} and Thorsten {Strufe} and Patrick {Seeling}},

year  = {2021},

date = {2021-01-01},

booktitle = {2021 17th International Symposium on Wireless Communication Systems (ISWCS) 

(ISWCS 2021)},

address = {Berlin, Germany},

abstract = {Recent technological advances in developing intelligent telecommunication 

networks, ultra-compact bendable wireless transceiver chips, adaptive 

wearable sensors and actuators, and secure computing infrastructures along 

with progress made in psychology and neuroscience for understanding 

neurocognitive and computational principles of human behavior combined have 

paved the way for a new field of research: Tactile Internet with 

Human-in-the-Loop (TaHiL). This emerging field of transdisciplinary 

research aims to promote next generation digitalized human-machine 

interactions in perceived real time. To achieve this goal, mechanisms and 

principles of human goal-directed multisensory perception and action need 

to be integrated into technological designs for breakthrough innovations in 

mobile telecommunication, electronics and materials engineering, as well as 

computing. This overview article highlights key challenges and the 

frontiers of research embarked in the new field of TaHiL. Revolutionizing 

the current Internet as the digital infrastructure for sharing visual and 

auditory information globally, the TaHiL research will enable humans to 

share tactile and haptic information and thus veridically immerse 

themselves into virtual, remote or inaccessible real environments to 

exchange skills and expertise with other humans or machines for 

applications in medicine, industry, and the Internet of Skills.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}