Rigorous diffraction theory applied to street microcell propagation

Bergljung, C.; Olsson, L.G.

doi:10.1109/glocom.1991.188578

Cited by 23 publications

(9 citation statements)

References 4 publications

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“…Apart from the lower number of rays reaching the MT, the higher predicted path loss with the UTD diffraction model in this section of the MT route compared to the Berg's recursive model is due to the fact that as the observation angle (φ in Fig. 3) increases and goes to the shadow region, the predicted power with the UTD model drops significantly as outlined in [97], [98].…”

Section: A Urban Microcellular Scenariomentioning

confidence: 99%

Review on Ray Tracing Channel Simulation Accuracy in Sub-6 GHz Outdoor Deployment Scenarios

Mbugua

Chen

Raschkowski

et al. 2021

IEEE Open J. Antennas Propag.

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In this paper, a review of the achieved accuracy in the literature for ray tracing (RT) based channel modeling is presented with a focus on outdoor propagation scenarios in the sub-6 GHz frequency range. The achieved accuracy is analyzed from three perspectives: 1) The input parameters which include the environmental description in the form of digital maps and the corresponding constitutive material parameters; 2) from the interaction mechanisms perspective and 3) from the output perspective where the achieved accuracy of predicted path loss is reviewed. Uniform assignment of materials to the entire propagation scenario is observed in most of the works in the literature which is attributed to the composite nature of common building materials and the difficulty of characterizing all material properties especially for outdoor scenarios. The digital maps are shown to introduce a certain degree of uncertainty in the RT predictions as most common sources of the maps hardly publish the accuracy. Notwithstanding, the prediction of path loss in most RT tools is observed to be rather robust against the inaccuracies in the input parameters with most RT tools achieving a prediction accuracy with a mean error below 4 dB and a standard deviation (STD) below 8 dB.

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Section: A Urban Microcellular Scenariomentioning

confidence: 99%

Review on Ray Tracing Channel Simulation Accuracy in Sub-6 GHz Outdoor Deployment Scenarios

Mbugua

Chen

Raschkowski

et al. 2021

IEEE Open J. Antennas Propag.

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“…Maliuzhinets formulation in UTD format is given as: Detailed information about parameters used can be found in [9]. ( ) \ D =Auxiliary function expressed as Simplified analytical formulation of Maliuzhinets function is given as [12]:…”

Section: Coefficient For Dielectric Wedgementioning

confidence: 99%

“…The main hurdle in implementing rigorous Maliuzhinets coefficient in propagation channel tool was its computational complexity. In [9], the Maliuzhinets coefficient has been verified in urban scenario whereas in [10], it is compared with some known heuristic coefficient and it is shown that heuristic coefficients are invalid for 270 0 wedge. In hill scenario, terrain is modeled as series of wedges with arbitrary angle.…”

Section: Introductionmentioning

confidence: 99%

“…This needs Maliuzhinets solution with arbitrary wedge angle. Though, simple formula for some definite shape of wedge such as 90 0 , 180 0 and 270 0 are available [9], [10], but the complexity for other values of wedge angle has been a major deterrent to the use of this coefficient for propagation channel modeling. With the work reported in [11], Maliuzhinets function can be expressed in the simple cosine form, thus, making the coefficient computationally efficient.…”

Section: Introductionmentioning

confidence: 99%

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Maliuzhinets diffraction coefficient applied to hilly terrain scenario

Soni

Bhattacharya

2009

2009 3rd IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications

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“…We propose a simple diffracted fields( Pdg ) prediction model from the comers of buildings by using measured data and simulated data [4].…”

Section: Received Power By Diffractionmentioning

confidence: 99%

Mobile radio prediction model considering long term fading in urban microcellular environment

Song

Chung²

Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152)

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This paper proposes a propagation prediction model of received power considering long term fading characteristics for urban microcellulr communications. Since the long term fading affects to the communication pe$ormance, it is important to predict the signal level accurately in the communication design and analysis. The received signal strength in urban microcell is usually constituted with the direct wave, the ground reflected wave, penetration effect and the diffracted waves, etc. We derive the empirical prediction formulas for the above parameters using measured and simulated data. By summing these parameters, we propose a relatively accurate prediction model considering long term fading signaljluctuation. It can be seen that the predicted is good agreement with the measured data.

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Rigorous diffraction theory applied to street microcell propagation

Cited by 23 publications

References 4 publications

Review on Ray Tracing Channel Simulation Accuracy in Sub-6 GHz Outdoor Deployment Scenarios

Review on Ray Tracing Channel Simulation Accuracy in Sub-6 GHz Outdoor Deployment Scenarios

Maliuzhinets diffraction coefficient applied to hilly terrain scenario

Mobile radio prediction model considering long term fading in urban microcellular environment

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