IEEE Transactions on Communications · 2014 · 31 citations · 16 references
EngineeringCommunicationElectrical EngineeringInformation TheoryPropagationWireless CommunicationsChannel CapacityChannel EstimationMultipath PropagationPropagation ModelingVehicle Communication NetworksWireless Channel ModelingCarrier FrequenciesChannel State InformationDoppler SpreadDoppler Spread ModelingInformation-theoretic CapacityPropagation Channel CharacterizationTime-varying Channel EstimationTime-varying Channel Models
To deploy effective communication systems in vehicle cavities, it is critical to understand the time variation of the in-vehicle channel. Initially, rapid channel variation is addressed, which is characterized in the frequency domain as a Doppler spread. It is then shown that, for typical Doppler spreads, the in-vehicle channel is underspread, and therefore, the information capacity approaches the capacity achieved with perfect receiver channel state information in the infinite bandwidth limit. Measurements are performed for a number of channel variation scenarios (e.g., absorptive motion, reflective motion, one antenna moving, and both antennas moving) at a number of carrier frequencies and for a number of cavity loading scenarios. It is found that the Doppler spread increases with carrier frequency; however, the type of channel variation and loading appear to have little effect. Channel variation over a longer time period is also measured to characterize the slower channel variation. Channel variation is a function of the cavity occupant motion, which is difficult to model theoretically; therefore, an empirical model for the slow channel variation is proposed, which leads to an improved estimate of the channel state.
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A Mathematical Theory of Communication
Claude E. Shannon · Bell System Technical Journal · 1948 · 80.7K citations
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