Compressed temporal synchronization with opportunistic signals

Conference contribution
(Conference Contribution)

Publication Details

Author(s): Ibrahim M, Hadaschik N, Römer F, Tröger HM, Sackenreuter B, Franke N, Robert J, Del Galdo G
Publisher: IEEE Computer Society
Publication year: 2016
Pages range: 204-208
ISBN: 9781467385763


In this paper we propose a temporal synchronization method using opportunistic signals for wireless networks. Instead of broadcasting a dedicated broadband signal throughout the network for synchronization, high-bandwidth opportunistic signals already existing in the environment can be used. To avoid the necessity that all the nodes in the network are able to decode the opportunistic reference signal, a central node should receive the reference signal and then sends it again to all other nodes. Using ideas from the compressed sensing (CS) area, the high-bandwidth reference signal to be transmitted can be compressed efficiently before being sent to the other nodes, while still achieving an accurate correlation function compared to the low bandwidth reference signal scenario. In this way, only a low-bandwidth signal needs to be transmitted. Numerical results demonstrate that the proposed compressed technique achieves a similar performance at a much lower cost compared to using the high-bandwidth opportunistic signal directly.

FAU Authors / FAU Editors

Robert, Jörg
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)
Tröger, Hans-Martin
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)

How to cite

Ibrahim, M., Hadaschik, N., Römer, F., Tröger, H.-M., Sackenreuter, B., Franke, N.,... Del Galdo, G. (2016). Compressed temporal synchronization with opportunistic signals. (pp. 204-208). IEEE Computer Society.

Ibrahim, Mohamed, et al. "Compressed temporal synchronization with opportunistic signals." Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 IEEE Computer Society, 2016. 204-208.


Last updated on 2018-19-04 at 03:40