Welcome to CCS Labs. The acronym CCS stands for Computer and Communication Systems, indicating our main research interest. CCS Labs is coordinated by Falko Dressler.
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Our research objectives include adaptive wireless networking (sub-6GHz, mmWave, visible light, molecular communication) and wireless-based sensing with applications in ad hoc and sensor networks, the Internet of Things, and Cyber-Physical Systems. Our current projects focus on novel and innovative concepts for 5G/6G communication systems, digital smart cities of tomorrow, and vehicular applications, emphasizing on communication technologies and cooperative assistance systems. Read more on our research focus...
Justin M. Kennedy, Julian Heinovski, Daniel E. Quevedo and Falko Dressler, "Centralized Model-Predictive Control with Human-Driver Interaction for Platooning," IEEE Transactions on Vehicular Technology, May 2023. (online first)
[DOI, BibTeX, Details...] Kai Li, Yingping Cui, Weicai Li, Tiejun Lv, Xin Yuan, Shenghong Li, Wei Ni, Meryem Simsek and Falko Dressler, "When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds," IEEE Internet of Things Journal, vol. 10 (5), pp. 4148–4173, March 2023.
[DOI, BibTeX, PDF and Details...] Jorge Torres Gómez, Anke Kuestner, Jennifer Simonjan, Bige Deniz Unluturk and Falko Dressler, "Nanosensor Location Estimation in the Human Circulatory System using Machine Learning," IEEE Transactions on Nanotechnology, vol. 21, pp. 663–673, October 2022.
[DOI, BibTeX, PDF and Details...] Szymon Szott, Katarzyna Kosek-Szott, Piotr Gawłowicz, Jorge Torres Gómez, Boris Bellalta, Anatolij Zubow and Falko Dressler, "Wi-Fi Meets ML: A Survey on Improving IEEE 802.11 Performance with Machine Learning," IEEE Communications Surveys & Tutorials (COMST), vol. 24 (3), pp. 1843–1893, July 2022.
VDE ITG Preis 2023 [DOI, BibTeX, PDF and Details...] Kai Li, Wei Ni and Falko Dressler, "LSTM-characterized Deep Reinforcement Learning for Continuous Flight Control and Resource Allocation in UAV-assisted Sensor Network," IEEE Internet of Things Journal, vol. 9 (6), pp. 4179–4189, March 2022.
[DOI, BibTeX, PDF and Details...] Falko Dressler, Carla Fabiana Chiasserini, Frank H. P. Fitzek, Holger Karl, Renato Lo Cigno, Antonio Capone, Claudio Ettore Casetti, Francesco Malandrino, Vincenzo Mancuso, Florian Klingler and Gianluca A. Rizzo, "V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing," IEEE Network, vol. 36 (3), pp. 24–31, May 2022.
[DOI, BibTeX, PDF and Details...] Anatolij Zubow, Piotr Gawłowicz, Carolin Brunn, Kai Lennert Bober, Volker Jungnickel, Kai Habel and Falko Dressler, "Hybrid-Fidelity: Utilizing IEEE 802.11 MIMO for Practical Aggregation of LiFi and WiFi," IEEE Transactions on Mobile Computing, vol. 22 (8), pp. 4682–4697, August 2023.
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Gurjashan Singh Pannu, Seyhan Ucar, Takamasa Higuchi, Onur Altintas and Falko Dressler, "Dwell Time Estimation at Intersections for Improved Vehicular Micro Cloud Operations," Elsevier Ad Hoc Networks, vol. 122, pp. 102606, November 2021.
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Anatolij Zubow, Sascha Rösler, Piotr Gawłowicz and Falko Dressler, "GrGym: When GNU Radio goes to (AI) Gym," Proceedings of 22nd ACM International Workshop on Mobile Computing Systems and Applications (HotMobile 2021), Virtual Conference, February 2021, pp. 8–14.
[DOI, BibTeX, PDF and Details...] Agon Memedi and Falko Dressler, "Vehicular Visible Light Communications: A Survey," IEEE Communications Surveys & Tutorials (COMST), vol. 23 (1), pp. 161–181, January 2021.
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