Vehicular channel characterization and its implications for wireless system design and performance
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Vehicular channel characterization and its implications for wireless system design and performance. / Mecklenbräuker, Christoph; Molisch, Andreas; Kåredal, Johan; Tufvesson, Fredrik; Paier, Alexander; Bernadó, Laura; Zemen, Thomas; Klemp, Oliver; Czink, Nicolai.
In: Proceedings of the IEEE, Vol. 99, No. 7, 2011, p. 1189-1212.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Vehicular channel characterization and its implications for wireless system design and performance
AU - Mecklenbräuker, Christoph
AU - Molisch, Andreas
AU - Kåredal, Johan
AU - Tufvesson, Fredrik
AU - Paier, Alexander
AU - Bernadó, Laura
AU - Zemen, Thomas
AU - Klemp, Oliver
AU - Czink, Nicolai
PY - 2011
Y1 - 2011
N2 - To make transportation safer, more efficient, and less harmful to the environment, traffic telematics services are currently being intensely investigated and developed. Such services require dependable wireless vehicle-to-infrastructure and vehicle-to-vehicle communications providing robust connectivity at moderate data rates. The development of such dependable vehicular communication systems and standards requires accurate models for the propagation channel in all relevant environments and scenarios. Key characteristics of vehicular channels are shadowing by other vehicles, high Doppler shifts, and inherent non-stationarity, which have major impact on the data packet transmission reliability and latency. This paper provides an overview of the existing vehicular channel measurements in a variety of important environments, and the observed channel characteristics (such as delay spreads and Doppler spreads) therein.We briefly discuss the available vehicular channel models and their respective merits and deficiencies. Finally, we discuss the implications for wireless system design with a strong focus on IEEE 802.11p. On the road towards a dependable vehicular network, room for improvements in coverage, reliability, scalability, and delay are highlighted which require evolutionary improvements in the IEEE 802.11p standard. Multiple antennas at the on-board units and road-side units are recommended to exploit spatial diversity for increased diversity and reliability. Evolutionary improvements in the PHY and MAC are required to yield dependable systems. Extensive references are provided.
AB - To make transportation safer, more efficient, and less harmful to the environment, traffic telematics services are currently being intensely investigated and developed. Such services require dependable wireless vehicle-to-infrastructure and vehicle-to-vehicle communications providing robust connectivity at moderate data rates. The development of such dependable vehicular communication systems and standards requires accurate models for the propagation channel in all relevant environments and scenarios. Key characteristics of vehicular channels are shadowing by other vehicles, high Doppler shifts, and inherent non-stationarity, which have major impact on the data packet transmission reliability and latency. This paper provides an overview of the existing vehicular channel measurements in a variety of important environments, and the observed channel characteristics (such as delay spreads and Doppler spreads) therein.We briefly discuss the available vehicular channel models and their respective merits and deficiencies. Finally, we discuss the implications for wireless system design with a strong focus on IEEE 802.11p. On the road towards a dependable vehicular network, room for improvements in coverage, reliability, scalability, and delay are highlighted which require evolutionary improvements in the IEEE 802.11p standard. Multiple antennas at the on-board units and road-side units are recommended to exploit spatial diversity for increased diversity and reliability. Evolutionary improvements in the PHY and MAC are required to yield dependable systems. Extensive references are provided.
KW - radio channel characterization
KW - vehicular communications
KW - IEEE 802.11p
KW - OFDM
KW - MIMO
KW - intelligent transportsystems
U2 - 10.1109/JPROC.2010.2101990
DO - 10.1109/JPROC.2010.2101990
M3 - Article
VL - 99
SP - 1189
EP - 1212
JO - Proceedings of the IEEE
JF - Proceedings of the IEEE
SN - 0018-9219
IS - 7
ER -