Page Content
Dr. Renato L. G. Cavalcante
R. L. G. Cavalcante received the electronics engineering degree from the Instituto Tecnologico de Aeronautica (ITA), Brazil, in 2002, and the M.E. and Ph.D. degrees in Communications and Integrated Systems from the Tokyo Institute of Technology, Japan, in 2006 and 2008, respectively. From April 2003 to April 2008, he was a recipient of the Japanese Government (MEXT) Scholarship. He is currently a Research Fellow with the Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Berlin, Germany. Previously, he held appointments as a Research Fellow with the University of Southampton, Southampton, U.K., and as a Research Associate with the University of Edinburgh, Edinburgh, U.K.
Dr. Cavalcante received the Excellent Paper Award from the IEICE in 2006 and the IEEE Signal Processing Society (Japan Chapter) Student Paper Award in 2008. He also co-authored the study that received the 2012 IEEE SPAWC Best Student Paper Award. His current interests are in signal processing for distributed systems, multiagent systems, convex analysis, machine learning, and wireless communications.
Click here for visiting his website
Conference, Symposium, and Workshop Papers
| Citation key | dk2020gc |
|---|---|
| Author | D.F. Külzer, S. Stanczak, R. L.G. Cavalcante and M. Botsov |
| Year | 2020 |
| Journal | IEEE Globecom 2020, December 7-11, in Taipei, Taiwan |
| Editor | IEEE |
| Abstract | In autonomous driving, several safety-related connected applications will co-exist with infotainment services for passenger entertainment. Serving the resulting set of diverse quality of service (QoS) requirements poses a tremendous challenge for future cellular networks. For example, safety-related applications require low latency, while infotainment services are associated with high throughput demands. To address the co-existence challenge, we propose a multi-cell anticipatory networking framework with interference coordination based on channel distribution information. The iterative approach first optimizes packet transmission times by so-called statistical look-ahead scheduling leveraging service properties. Interference calculus is applied for estimating the network's load in each step. Finally, packets are forwarded to an online scheduler based on the found transmission schedule. Simulations show that inter-cell interference management is crucial in provisioning the desired QoS. The iterative optimization framework offers superior transmission reliability and spectral efficiency. |
Zusatzinformationen / Extras
Quick Access:
Auxiliary Functions
This site uses Matomo for anonymized web analytics. More information and opt-out options under data protection.
Contact
Dr. Renato L. G. CavalcanteFraunhofer Heinrich-Hertz-Institut
Einsteinufer 37
10587 Berlin
e-mail query