Uppsala universitet

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

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.

| Main entry in list of publications | 4G and 5G wireless research |
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