CPL - Chalmers Publication Library
| Utbildning | Forskning | Styrkeområden | Om Chalmers | In English In English Ej inloggad.

Adaptive large MISO downlink with Predictor Antenna array for very fast moving vehicles

D.T. Phan-Huy ; M. Sternad ; Tommy Svensson (Institutionen för signaler och system, Kommunikationssystem)
2013 International Conference on Connected Vehicles and Expo, ICCVE 2013 - Proceedings p. 331-336. (2013)
[Konferensbidrag, refereegranskat]

Recently, a 'Separate Receive and Training Antenna' technique has been proposed to provide energy efficient and robust wireless downlink data transmission towards antennas placed upon fast moving vehicles. Energy efficiency is attained thanks to Large Multiple Input Single Output Beamforming. Robustness to beamforming mispointing at high speed is obtained by using the recent 'Predictor Antenna' concept. However, for some speeds, the Separate Receive and Training Antenna technique suffers from residual mispointing. To improve the robustness of this technique, we propose three new schemes: the 'Border Switch Off Scheme', the 'Random Switch Off Scheme' and the 'Polynomial Interpolation' scheme. The two first schemes dynamically mute transmit antennas selectively when the residual mispointing is too severe. The third scheme generalizes the Predictor Antenna concept and uses all antennas upon the vehicle as a Predictor Antenna Array. These schemes are here assessed over spatially correlated channels. The two first schemes reduce energy saving to slightly improve robustness, whereas the third scheme perfectly compensates all speeds up to 300 kmph with maximum energy saving, at the cost of extra complexity. © 2013 IEEE.

Nyckelord: beamforming , high velocity , large MISO , moving cells , predictor antenna , TDD , wireless

Denna post skapades 2014-06-10. Senast ändrad 2015-03-30.
CPL Pubid: 199059


Läs direkt!

Länk till annan sajt (kan kräva inloggning)

Institutioner (Chalmers)

Institutionen för signaler och system, Kommunikationssystem



Chalmers infrastruktur