Capacity Study of Vehicle-to-Roadside MIMO Channels with a Line-of-Sight Component

Matthaiou, Michail; Laurenson, David; Wang, Cheng-Xiang

doi:10.1109/wcnc.2008.142

Cited by 25 publications

(27 citation statements)

References 8 publications

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“…This is achieved with appropriate positioning of the antenna elements at both ends of the link so that subchannel orthogonality is attained [13]- [15]. This phenomenon is contrary to the common belief that LoS channels represent a hindrance in the area of MIMO communication since they are usually rankdeficient and therefore have only one non-zero eigenvalue.…”

Section: )mentioning

confidence: 98%

On analytical derivations of the condition number distributions of dual non-central Wishart matrices

Matthaiou

Laurenson

Wang

2009

IEEE Trans. Wireless Commun.

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Abstract-In this paper, we explore the statistical characterization of Multiple-Input Multiple-Output (MIMO) channel correlation matrices with the main focus being on their condition number statistics. More specifically, novel expressions are derived for the probability density function (PDF) and cumulative distribution function (CDF) of the MIMO condition number. Contrary to the majority of related studies, where only the common case of Rayleigh fading was considered, our investigation is extended to account for the generalized case of Ricean fading where a deterministic Line-of-Sight (LoS) component exists in the communication link. The overall analysis is based on the principles of random matrix theory and particularly of dual complex noncentral Wishart matrices; the latter represent a practical class of MIMO systems, namely dual-branch systems which are equipped with two transmit and receive antenna elements. All the derived formulae are validated through extensive simulations with the attained accuracy being remarkably good.

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Section: )mentioning

confidence: 98%

On analytical derivations of the condition number distributions of dual non-central Wishart matrices

Matthaiou

Laurenson

Wang

2009

IEEE Trans. Wireless Commun.

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“…5 The metric we use is the measured and modeled MIMO antenna correlation, i.e., we evaluate the complex correlation coefficient between every two antenna subchannels. We find the overall performance of the model satisfactory and we also note that the model outcome can vary a lot from one simulation to another; the latter being due to the non-stationary nature of the channel.…”

Section: Comparison With Measurementsmentioning

confidence: 99%

“…Furthermore, with the distance ranges over which we observe the components, the changes in angles-of-arrival and departure are usually small enough to stay within the antenna 3 dB beamwidth and we thus make the assumption of a constant antenna gain during the observation. 5 A detailed implementation recipe of the model can be found in [20].…”

Section: Comparison With Measurementsmentioning

confidence: 99%

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Measurement-Based Modeling of Vehicle-to-Vehicle MIMO Channels

Karedal

Tufvesson

Czink

et al. 2009

2009 IEEE International Conference on Communications

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Abstract-Vehicle-to-vehicle (VTV) communications are of interest for applications within traffic safety and congestion avoidance, but the development of suitable communications systems requires accurate models for VTV propagation channels. This paper presents a new wideband MIMO (multiple-inputmultiple-output) channel model for VTV channels based on extensive MIMO channel measurements performed at 5.2 GHz in rural environments in Lund, Sweden. The measured channel characteristics, in particular the non-stationarity of the channel statistics, motivate the use of a geometry-based stochastic channel model (GSCM) instead of the classical tapped-delay line model. We introduce generalizations of the generic GSCM approach and find it suitable to distinguish between diffuse and discrete scattering contributions. The time-variant contributions from discrete scatterers are tracked over time and delay using a high resolution algorithm, and our observations motivate their power being modeled as a combination of a deterministic part and a stochastic part. The paper gives a full model parameterization and the model is verified by comparison of MIMO antenna correlations derived from the channel model to those obtained directly from measurements.

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“…This paper expands on work presented in [5], which explored the effect of non-optimal separation of communicating terminals in a VTR scenario; in the following, a VTV scenario is also investigated where the effects of antenna spacings and terminal heights are taken into account. This acknowledges the practical issue that it is not possible to optimise antenna spacing for VTV communication due to the mobile nature of the terminals; however it is important to maximise capacity for VTR links.…”

Section: Introductionmentioning

confidence: 99%

Modelling for vehicle to vehicle applications

Laurenson

Matthaiou

Cheng

et al. 2009

2009 Loughborough Antennas &Amp; Propagation Conference

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Abstract-Rapid growth of personal communications has led to the development of many wireless systems, competing for radio bandwidth. In the vehicular environment, there is recognition of the importance of communications, and therefore the ability to model these channels is important. This paper addresses this issue through the exploration of both vehicle to roadside (VTR) and vehicle to vehicle (VTV) communications. The paper presents a design methodology for achieving the maximum capacity under the above mentioned propagation conditions as well as reference and stochastic simulation models for vehicular environments.

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Capacity Study of Vehicle-to-Roadside MIMO Channels with a Line-of-Sight Component

Cited by 25 publications

References 8 publications

On analytical derivations of the condition number distributions of dual non-central Wishart matrices

On analytical derivations of the condition number distributions of dual non-central Wishart matrices

Measurement-Based Modeling of Vehicle-to-Vehicle MIMO Channels

Modelling for vehicle to vehicle applications

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