Uppsala universitet

Using "Predictor Antennas" for Long-Range Prediction of Fast Fading for Moving Relays.

Mikael Sternad , Uppsala University,
Michael Grieger , TU Dresden,
Rikke Apelfröjd , Uppsala University,
Tommy Svensson , Chalmers,
Daniel Aronsson , Uppsala University, and
Ana Belén Martinez , TU Dresden.

IEEE Wireless Communications and Networking Conference (WCNC), 4G Mobile Radio Access Networks Workshop , Paris, April 2012.


Abstract:
Channel state information at transmitters is important for advanced transmission schemes. However, feedback and transmission control delays of multiple milliseconds in LTE systems result in severe outdating of this information at vehicular velocities. Channel prediction based on extrapolation of the short-term fading is inadequate in LTE systems at vehicular velocities and high carrier frequencies.

We here propose and evaluate a simple scheme which may extend the prediction horizon when used on vehicles: Use an additional antenna, a “predictor antenna”, placed in front of the transmission antennas in the direction of travel. This is of particular interest for use with moving relays: Local access points placed on e.g. buses or trams.

A measurement-based study for 20 MHz downlink channels at 2.68 GHz is reported here for both line-of-sight and non-line-of-sight conditions.

Related publications:

WSA 2018 paper verifying with measurements that predictor antennas enable precise precoding for massive MIMO antennas in non-line-of sigth.

Paper in IEEE ICC 2017 on statistical performance results when using the predictor antennas on a very large set of vehicular channel measurements.

Compainon Paper in IEEE PIMRC 2017 on actual prediction results on a very large set of vehicular channel measurements.

Conference paper at EUCAP 2014 presenting compensation of antenna coupling

Report by Rikke Apelfröjd on Kalman prediction for multipoint OFDM downlink channels, May 2014.

Channel Estimation and Prediction for MIMO OFDM Systems. Key design and performance aspects of Kalman-based algorithms. PhD Thesis by Daniel Aronsson, 2012.

Moving Cells Communication Magazine paper, 2013.

IEEE Intelligent Transportation Systems Magazine 2015: Making 5G adaptive antennas work for very fast moving vehicles.

Source:
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