Simulation of Rayleigh-Faded Mobile-to-Mobile Communication Channels

Patel, C.S.; Stuber, G.L.; Pratt, Thomas G.

doi:10.1109/tcomm.2005.858678

Cited by 175 publications

(97 citation statements)

References 12 publications

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“…As one of the earliest references on modeling V2V channels, [39] adopted Rayleigh fading statistics so as to derive new envelope autocorrelation functions and Doppler spectra in V2V communications. Additionally, Rayleigh fading channel has been adopted to model mobile-to-mobile communications [40], [41]. Accordingly, for the sake of example, we also adopt Rayleigh fading channels following with zero-mean complex Gaussian distribution in our simulation experiments, and assume that the path loss effect is proportional to dist(j, i) −p according to [26], where dist(j, i) denotes the geometric distance between the transmitter T x j and the receiver Rx i , and the constant p is set to 2.5.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The antenna number of those secondary users is equally set to 2, i.e., m j = n j = 2 for ∀j ∈ J , while that of the primary receiver's is also 2, i.e., u = 2. The relative distance between any transmitter T x j and its desired receiver Rx j in the group, dist(j, j), is stable at 40m, while the relative distance between any secondary transmitter and the primary receiver, or between any undesired secondary pair, dist(j, i) for any j ̸ = i, are uniformly randomly generated over [40,160](m). In the second case, we consider another MIMO CR-enabled vehicular network consisting of 10 pairs of secondary users all equipped with 3 antennas and one primary receiver whose antenna number is also 3.…”

Section: Performance Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Robust Energy-Efficient MIMO Transmission for Cognitive Vehicular Networks

Tian

Zhou

Sheng

et al. 2016

IEEE Trans. Veh. Technol.

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Abstract-This work investigates a robust energy-efficient solution for multiple-input-multiple-output (MIMO) transmissions in cognitive vehicular networks. Our goal is to design an optimal MIMO beamforming for secondary users (SUs) considering imperfect interference channel state information (CSI). Specifically, we optimize the energy efficiency (EE) of SUs, given that the transmission power constraint, the robust interference power constraint and the minimum transmission rate are satisfied. To solve the optimization problem, we first characterize the uncertainty of CSI by bounding it in a Frobenius-norm-based region and then equivalently convert the robust interference constraint to a linear matrix inequality. Furthermore, a feasible ascent direction approach is proposed to reduce the optimization problem into a sequential linearly constrained semi-definite program, which leads to a distributed iterative optimization algorithm for deriving the robust and optimal beamforming. The feasibility and convergence of the proposed algorithm is theoretically validated, and the final experimental results are also supplemented to show the strength of the proposed algorithm over some conventional schemes in terms of the achieved EE performance and robustness.

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Section: Performance Evaluationmentioning

confidence: 99%

Section: Performance Evaluationmentioning

confidence: 99%

Robust Energy-Efficient MIMO Transmission for Cognitive Vehicular Networks

Tian

Zhou

Sheng

et al. 2016

IEEE Trans. Veh. Technol.

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“…In all of these cases, the regions over which such estimates are made are necessarily much larger than the size of an individual scattering feature, indicating that the modeled spectrum will be significantly smoothed relative to reality. The actual fading spectrum used in simulation is then filtered with a random variable, as suggested in [8] to approach actual randomness in scatterer density at a finer granularity.…”

Section: Finer Granularity Fading (Spectrum Desmoothing)mentioning

confidence: 99%

“…Geometrybased fading models make assumptions of scatterer distribution pattern, such as a single ring [18] and a double ring [8]. Measurements [6,14] show that fading effects in V2V channel have distinct features beyond what generalized mobileto-mobile fading models usually capture.…”

Section: Related Workmentioning

confidence: 99%

Improving the accuracy of environment-specific vehicular channel modeling

Wang

Anderson

Steenkiste

et al. 2012

Proceedings of the Seventh ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterizatio

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Networking research benefits from the controlled, repeatable experimentation provided by simulation and emulation systems. Making such simulations realistic is a challenge for wireless systems and is especially difficult for vehicular networks. This paper introduces a realistic vehicular channel simulation model that includes a Line-Of-Sight (LOS ) module and Vehicle-to-Vehicle (V2V) fading module specially designed for vehicular channels.Specialized models can provide a close approximation of real channel conditions, but their accuracy is limited by the quality of input information about the environment being modeled. In this paper, we present a systematic approach to estimate location-specific scattering properties using aerial photography. We show that this approach significantly improves the accuracy of simulated channel fading.

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“…However, in a VTV scenario, the same scattering environment will be experienced by both, and both entities are in motion, and such reference models are not applicable. Therefore, a two-ring reference model was proposed in [6] and has been widely used to mimic V2V channels due to its good trade-off between the model accuracy and mathematical tractability.…”

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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Simulation of Rayleigh-Faded Mobile-to-Mobile Communication Channels

Cited by 175 publications

References 12 publications

Robust Energy-Efficient MIMO Transmission for Cognitive Vehicular Networks

Robust Energy-Efficient MIMO Transmission for Cognitive Vehicular Networks

Improving the accuracy of environment-specific vehicular channel modeling

Modelling for vehicle to vehicle applications

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