Channel modeling for ad hoc mobile wireless networks

Wang, R.; Cox, D.C.

doi:10.1109/vtc.2002.1002656

Cited by 52 publications

(31 citation statements)

References 1 publication

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“…2 shows the correlation properties of the aforementioned models with different K factors in VANETs. For a large range of normalized time-delay (0 ≤ f 1 T S ≤ 4), the proposed simulation models keep good agreement with the reference model, without exhibiting any sort of periodicity as encountered in Wang and Cox's model (Wang & Cox, 2002). For the same time delay τ, the magnitude of the channel correlation tends to be larger.…”

Section: Effects Of Rician Factor In Vanetsmentioning

confidence: 56%

“…Some channel measurement results for narrowband IVC communications have been presented in (Kovacs et al, 2002;Maurer et al, 2002;Cheng et al, 2007). R.Wang and D.Cox (Wang & Cox, 2002) introduced the discrete line spectrum method to simulate the IVC channels. Whereas the accuracy of this method was assured only for short-duration waveforms, Moreover, the numerical integrations required in determining the discrete set of frequencies and corresponding Doppler spectrum make the implementation complex and not easily reconfigurable for different Doppler frequencies or the Doppler frequency ratio.…”

Section: Related Research Workmentioning

confidence: 99%

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Sum-of-Sinusoids-Based Fading Channel Models with Rician K-Factor and Vehicle Speed Ratio in Vehicular Ad Hoc Networks

Wang¹,

Xing²

2012

Mobile Networks

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Section: Effects Of Rician Factor In Vanetsmentioning

confidence: 56%

Section: Related Research Workmentioning

confidence: 99%

Sum-of-Sinusoids-Based Fading Channel Models with Rician K-Factor and Vehicle Speed Ratio in Vehicular Ad Hoc Networks

Wang¹,

Xing²

2012

Mobile Networks

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“…When a component which does not find its routing protocol arrives at a certain nodes, the component would stay while the node gives an order to find its routing protocol; until the other routing protocol response (when there are more components than the node can store, new component would not be let in), the component would be put right the place the routing protocol orders and then give the end to the destination node. The advantages of DSDV routing protocol lies in its easy operation; it is often used in simple and small network; it is not suitable for the fast changing network; it does not support one-way route [6].…”

Section: Dsdv Routing Protocolmentioning

confidence: 99%

Analysis on Privacy and Reliability of Ad Hoc Network-Based in Protecting Agricultural Data

Liu¹

2014

TOEEJ

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Abstract:To analyze the privacy and reliability of Ad Hoc Network-based algorithms used in agricultural wireless data transmission, the paper introduces the routing protocols including DSDV, AODV and DSR, based on which a farmland model is built to simulate the speed and density of mobile node, and regards the success rate of data transmission (R/S Rate), average latency of end-to-end (E2E Delay) and average hops as the evaluation indicator of farmland information transfer system. As a result of the analysis, the privacy and reliability are influenced by the speed and density of mobile nodes; the higher the speed is and the lower the density is, the lower the R/S Rate is; AODV routing protocol is better in R/S Rate while DSDV routing protocol does better in both E2E Delay and average hops. It is concluded that DSDV routing protocol suits most the Ad Hoc network-based farmland information transfer system.

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“…A 2D reference model for narrowband singleinput single-output (SISO) M2M Rayleigh fading channels has been proposed by Akki and Haber in [10,11]. Simulation models for SISO M2M channels have been reported in [12,13]. In [5,14,15], the 2D reference and simulation models have been presented for narrowband MIMO M2M channels.…”

Section: Introductionmentioning

confidence: 99%

Design of Wideband MIMO Car-to-Car Channel Models Based on the Geometrical Street Scattering Model

Avazov

Pätzold

2012

Modelling and Simulation in Engineering

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We propose a wideband multiple-input multiple-output (MIMO) car-to-car (C2C) channel model based on the geometrical street scattering model. Starting from the geometrical model, a MIMO reference channel model is derived under the assumption of single-bounce scattering in line-of-sight (LOS) and non-LOS (NLOS) propagation environments. The proposed channel model assumes an infinite number of scatterers, which are uniformly distributed in two rectangular areas located on both sides of the street. Analytical solutions are presented for the space-time-frequency cross-correlation function (STF-CCF), the two-dimensional (2D) space CCF, the time-frequency CCF (TF-CCF), the temporal autocorrelation function (ACF), and the frequency correlation function (FCF). An efficient sum-of-cisoids (SOCs) channel simulator is derived from the reference model. It is shown that the temporal ACF and the FCF of the SOC channel simulator fit very well to the corresponding correlation functions of the reference model. To validate the proposed channel model, the mean Doppler shift and the Doppler spread of the reference model have been matched to real-world measurement data. The comparison results demonstrate an excellent agreement between theory and measurements, which confirms the validity of the derived reference model. The proposed geometry-based channel simulator allows us to study the effect of nearby street scatterers on the performance of C2C communication systems.

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Channel modeling for ad hoc mobile wireless networks

Cited by 52 publications

References 1 publication

Sum-of-Sinusoids-Based Fading Channel Models with Rician K-Factor and Vehicle Speed Ratio in Vehicular Ad Hoc Networks

Sum-of-Sinusoids-Based Fading Channel Models with Rician K-Factor and Vehicle Speed Ratio in Vehicular Ad Hoc Networks

Analysis on Privacy and Reliability of Ad Hoc Network-Based in Protecting Agricultural Data

Design of Wideband MIMO Car-to-Car Channel Models Based on the Geometrical Street Scattering Model

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