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

Författare

Markus Fröhle

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Srikar Muppirisetty

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

Henk Wymeersch

Chalmers, Signaler och system, Kommunikationssystem, informationsteori och antenner, Kommunikationssystem

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

15206149 (ISSN)

3911-3915 7472410

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Kommunikationssystem

DOI

10.1109/ICASSP.2016.7472410

ISBN

978-1-4799-9988-0