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Predictor Antennas in Action
Joachim Björsell
, Uppsala University,
Mikael Sternad
, Uppsala University, and
Michael Grieger , AIRRAYS - Wireless Solutions, Dresden, Germany
2017 IEEE 28th Annual International Symposium on Personal,
Indoor and Mobile Radio Communications (PIMRC)
, Montreal, October 2017.
Paper In Pdf
Presentation slides
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Abstract:
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Connected vehicles in large numbers will be
expensive in terms of power and bandwidth unless advanced
transmit schemes are employed. These would rely
on channel state information at transmitter (CSIT), which
rapidly becomes outdated for fading vehicular channels.
We here evaluate the predictor antenna concept, that solves
this problem by using antennas on the outside of vehicles,
with one extra antenna in front of the others. Its estimated
channel is a scaled prediction for the channels encountered
by rearward antennas when they reach that position.
We evaluate this concept on a large set of channel sounding
measurements from an urban environment. Recent
investigations of the correlations of these measurements
indicate that the average normalized mean squared errors
(NMSEs) of the complex valued channel predictions should
be around -10 dB for prediction horizons in space of
up to 3 wavelengths.
This represents an extension of the
attainable prediction horizon by an order of magnitude,
as compared to Kalman or Wiener extrapolation of past
channel measurements. It represents an accuracy that
would enable e.g. accurate massive multiple input multiple
output (MIMO) downlink beamforming to vehicles.
We here perform predictions on a subset of the measurements
with good channel-to-estimation error power ratio
(SNR). The approximate true channels are here available
and we evaluate the performance on a validation data set.
The results confirm that the distribution of the NMSE, over
all investigated propagation environments, is close to that
obtained by correlation-based models and outperforms the
use of outdated channel measurements.
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Related publications:
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Companion paper at IEEE ICC 2017
that provides the statistical
estimate of the prediction accuracy.
Paper at IEEE WCNC 2012, Original proposal for using "Predictor antennas"
for long-range prediction of fast fading for moving relays.
- WSA 2018 paper verifying
with measurements that predictor antennas enable precise
precoding for massive MIMO antennas in non-line-of sigth.
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Conference paper at EUCAP 2014
presenting compensation of antenna coupling.
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IEEE Intelligent Transportation Systems Magazine 2015:
Making 5G adaptive antennas work for very fast moving vehicles.
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Paper at Globecom 2016 5G Workshop
on the gain by predictor antennas
in terms of spectral efficiency and power efficiency
when serving connected vehicles
by 5G Massive MIMO antennas.
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Channel estimation and prediction for 5G applications.
PhD Thesis by Rikke Apelfröjd, Uppsala University 2018
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Channel Estimation and Prediction for MIMO OFDM Systems.
PhD Thesis by Danel Aronsson, Uppsala University 2011.
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Prediction of Mobile Radio Channels.
PhD Thesis by Torbjörn Ekman, Uppsala University 2002.
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Main
entry in list of publications
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4G and 5G wireless research
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Channel prediction
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