Channel gain prediction for multi-agent networks in the presence of location uncertainty
Paper in proceedings, 2016

Coordination among mobile agents relies on communication over a wireless channel and can thus be improved by channel prediction. We present a Gaussian process framework to learn channel parameters and predict the channel between arbitrary transmitter and receiver locations. We explicitly incorporate location uncertainty in both learning and prediction phases. Simulation results show that if location uncertainty is not modeled appropriately, it has a degenerative effect on the prediction quality.

Gaussian processes

location uncertainty

channel prediction

Multi-agent network

Author

Markus Fröhle

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Srikar Muppirisetty

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

Henk Wymeersch

Chalmers, Signals and Systems, Kommunikationssystem, informationsteori och antenner, Communication Systems

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

15206149 (ISSN)

3911-3915 7472410

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

DOI

10.1109/ICASSP.2016.7472410

ISBN

978-1-4799-9988-0

More information

Created

10/7/2017