Analysis and measurement of multiple antenna systems for fading channel prediction in moving relays
Paper in proceeding, 2014

© 2014 European Association on Antennas and Propagation. The performance of wireless data transmission to mobile vehicles is improved if channel state information is available at the transmitter but movement of vehicles causes outdating of channel estimates. The concept of a predictor antenna has recently been proposed, where an antenna is placed in front of other antennas on the roof of the vehicle to sense the radio environment in advance. This can comparatively provide an order-of-magnitude improvement in channel prediction performance. A potential problem with this idea is that closely placed antennas will experience mutual electromagnetic couplings. These may reduce the efficiency of the predictor antenna concept if they are not taken into account. In this paper, we discuss about how to treat the forgoing issue and eventually evaluate a promising candidate on measured channels. We argue that only open-circuit voltage method would be realistic for the present application. The usefulness of the proposed decoupling method is demonstrated on field measurements obtained in downtown Dresden, Germany. We also partly address the sensitivity of the open-circuit decoupling method to the accuracy of the utilized network parameters.

moving relays

channel state prediction

Multi-element antennas

multipath measurement

Author

Nima Jamaly

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

R. Apelfröujd

Uppsala University

A. Belen Martinez

Technische Universität Dresden

Michael Grieger

Technische Universität Dresden

Tommy Svensson

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

Mikael Sternad

Uppsala University

G. Fettweis

Technische Universität Dresden

8th European Conference on Antennas and Propagation, EuCAP 2014

2164-3342 (ISSN)

2015-2019
978-889070184-9 (ISBN)

Subject Categories

Communication Systems

DOI

10.1109/EuCAP.2014.6902201

ISBN

978-889070184-9

More information

Latest update

3/2/2018 6