@inproceedings{Acevedo2024:ChannelEstimation,

title = {5G Channel Estimation Kernels on RISC-V Vector Digital Signal Processors},

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

year  = {2024},

date = {2024-12-14},

urldate = {2024-12-14},

booktitle = {International Conference on Microelectronics (ICM)},

pages = {138-145},

address = {Doha, Qatar},

note = {Best Paper Award},

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}},

doi = {10.1109/NetSoft54395.2022.9844050},

year  = {2022},

date = {2022-06-26},

urldate = {2022-06-26},

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{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}},

doi = {10.1109/MELECON53508.2022.9843027},

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{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{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{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{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}

}