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**Harvard**

Phan-Huy, D., Sternad, M., Svensson, T., Zirwas, W., Villeforceix, B., Karim, F. och El-Ayoubi, S. (2016) *5G on Board: How Many Antennas Do We Need on Connected Cars?*.

** BibTeX **

@conference{

Phan-Huy2016,

author={Phan-Huy, D.-T. and Sternad, M. and Svensson, Tommy and Zirwas, W. and Villeforceix, B. and Karim, F. and El-Ayoubi, S.-E.},

title={5G on Board: How Many Antennas Do We Need on Connected Cars?},

booktitle={2016 IEEE Globecom Workshops (GC Wkshps), 4-8 Dec. 2016},

isbn={978-1-5090-2482-7},

abstract={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 roof 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 roof 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.},

year={2016},

keywords={5G; connected cars; predictor antenna; MIMO},

}

** RefWorks **

RT Conference Proceedings

SR Electronic

ID 248229

A1 Phan-Huy, D.-T.

A1 Sternad, M.

A1 Svensson, Tommy

A1 Zirwas, W.

A1 Villeforceix, B.

A1 Karim, F.

A1 El-Ayoubi, S.-E.

T1 5G on Board: How Many Antennas Do We Need on Connected Cars?

YR 2016

T2 2016 IEEE Globecom Workshops (GC Wkshps), 4-8 Dec. 2016

SN 978-1-5090-2482-7

AB 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 roof 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 roof 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.

LA eng

DO 10.1109/GLOCOMW.2016.7848799

LK http://dx.doi.org/10.1109/GLOCOMW.2016.7848799

OL 30