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5G on Board: How Many Antennas Do We Need on Connected Cars?
Dhin Thuy Phan-Huy,
Orange,
Mikael Sternad,
Uppsala University,
Tommy Svensson,
Chalmers,
Wolfgang Zirwas,
Nokia Bell Labs,
Bernadette Villeforceix,
Orange,
Fatima Karim,
Orange, and
Salah Eddine El-Ayoubi
, Orange.
IEEE Globecom 2016 Workshop on 5G RAN Design,
Washington DC, December 2016.
© 2016 IEEE
Paper in Pdf
- Abstract:
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Mobile networks will support increasing numbers
of connected vehicles. Successive generations of mobile networks
have reduced the cost of data rate, in terms of spectrum usage
and power consumption at the base station, by increasingly
exploiting the concept of channel state information at the
transmitter.
Unfortunately, beyond a limiting velocity (which
depends on the carrier frequency), networks are no longer cost
efficient, since such information is not usable. Recently, channel
prediction techniques requiring several antennas on the car top
have been introduced to solve this problem.
In this paper, for the
first time, we determine the most cost efficient configurations, in
terms of numbers of antennas on the car top and carrier
frequency, in various scenarios (highway and dense urban).
Our
studies show that with a simple prediction technique based on
predictor antennas, the network can use twice less spectrum and
around 20 dB less power, for cars with 3 antennas on their tops
than for cars with the same number of antennas and not using
prediction.
- Related publications:
- WSA 2018 paper verifying
with measurements that predictor antennas enable precise
precoding for massive MIMO antennas in non-line-of sight.
- IEEE WCNC 2012
Original paper suggesting the use of
"predictor antennas" for long-range prediction
of fast fading for moving relays.
- 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.
- Channel Estimation
and Prediction for MIMO OFDM Systems.
Key design and performance aspects
of Kalman-based algorithms.
PhD Thesis by Daniel Aronsson, 2012.
- IEEE Intelligent Transport Systems Magazine
2015 on
making 5G adaptive antennas work for very fast moving vehicles.
-
Moving Cells Communication Magazine paper, 2013.
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Main
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4G and 5G wireless research
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