Differential distributed space-time coding for vehicle-to-vehicle networks

Differential distributed space-time coding (DDSTC) has been proved to be suitable for wireless relay networks, since it can provide spatial diversity without the need for channel state information at neither the transmitter nor the receiver side. However, DDSTC suffers from significant error floor i...

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Vydané v:2015 International Conference on Information and Communication Technology Research (ICTRC) s. 124 - 127
Hlavní autori: Al Maeeni, Sara, Kapinas, Vasileios M., Muhaidat, Sami, Karagiannidis, George K., Al-Araji, Saleh R.
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.05.2015
Predmet:
Bit error rate
Differential detection
distributed space-time coding
double Rayleigh
Encoding
multiple-symbol differential detection
Phase shift keying
Rayleigh channels
Relays
time-varying channel
vehicle-to-vehicle networks
Wireless communication
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Shrnutí:Differential distributed space-time coding (DDSTC) has been proved to be suitable for wireless relay networks, since it can provide spatial diversity without the need for channel state information at neither the transmitter nor the receiver side. However, DDSTC suffers from significant error floor in fast-fading channel conditions with high Doppler frequencies due to rapid time variations. For this reason, multiple-symbol differential detection (MSDD) has been proposed in the past, where the detection process involves a larger window size of the received symbols. So far, differential detection for vehicle-to-vehicle (V2V) networks has been studied only for single Rayleigh channels. However, experimental and theoretical studies report that double Rayleigh can be considered as an appropriate fading channel model for V2V networks. In this paper, we assess the error performance of a DDSTC scheme operating in a V2V network using MSDD. Simulation results confirm that the error performance of such a system can be improved significantly with MSDD under different channel time-variation scenarios.
DOI:10.1109/ICTRC.2015.7156437