Optical Wireless Communication - Devices, Algorithms and Networks
The aim of this session is to discuss novel methods for optical wireless communications with a particular focus on novel electrical to optical conversion devices, test platforms, experimental results, optical sensors and devices, novel implementations for receivers and transmitters and industrial applications.. In addition, the session aims to highlight advances in novel algorithms that can improve the data rate or network robustness of OWC systems.
All accepted and presented papers delivered at UNet 2017 will be published as part of Springer Lecture Notes in Computer Science (LNCS). They will also be submitted to appear in SpringerLink, Scopus, ISI, DBLP and other leading indexing services.
Prospective authors are invited to submit original papers with unpublished material and not currently submitted for consideration elsewhere. Manuscripts should not exceed 12 LNCS formatted pages, including figures, tables, and references. All submitted papers must conform to the LNCS Formatting Guidelines. Authors are invited to use either the LNCS Latex template or MS Word Template available via this Link. If you have any questions about paper submissions or the program, please contact us at firstname.lastname@example.org or contact any of the Program Chairs at email@example.com .
Submissions must be done via EDAS using the "SS2: Optical Wireless Communication - Devices, Algorithms and Networks" link. Submit now
|Submission deadline||March 10, 2017|
|Acceptance notification||March 20, 2017|
|Camera-ready submission||April 05, 2017|
|Early-bird registration||April 05, 2017|
|Conference date||May 09-12, 2017|
Special Session Chair
Nikola's experience with T-Mobile and T-Home in Macedonia focused on mobile network deployment and analysis as well as database app development. Nikola worked for the UK-China Science Bridges project to successfully demonstrate the world’s first practical implementation of the Spatial Modulation MIMO concept. He received a BSc in electrical engineering and computer science and an MSc in communications, system and electronics, both from Jacobs University Bremen, Germany. Nikola earned his PhD in digital communications and signal processing from the University of Edinburgh.