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.

Multi-agent network

channel prediction

location uncertainty

Gaussian processes

Author

Markus Fröhle

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Srikar Muppirisetty

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

Henk Wymeersch

Chalmers, Signals and Systems, Communication and Antenna Systems, Communication Systems

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

15206149 (ISSN)

3911-3915 7472410

Multi-technology positioning professionals (MULTI-POS)

European Commission (FP7), 2012-10-01 -- 2016-09-30.

Cooperative Situational Awareness for Wireless Networks (COOPNET)

European Commission (FP7), 2011-05-01 -- 2016-04-30.

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems

DOI

10.1109/ICASSP.2016.7472410

More information

Latest update

8/26/2019