Multipath propagation model for line-of-sight street microcells in urban area

Ichitsubo, S.; Furuno, T.; Taga, Tetsuya; Kawasaki, Ryoji

doi:10.1109/25.832973

Cited by 31 publications

(12 citation statements)

References 12 publications

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“…The precise RMa LOS path loss model in ITU-R M.2135 and 3GPP 38.900 was not given in [20], [21], or any other published material that we could find, leaving us to conclude that the existing 3GPP RMa LOS path loss model was never confirmed for a rural environment, nor was it confirmed with extensive measurements above 6 GHz or at mmWave bands. At first glance, (1) is a cumbersome equation that does not have an intuitive physical meaning [1].…”

Section: A 3gpp Rma Los Path Loss Modelmentioning

confidence: 86%

“…Until this work, the literature has dealt with many ad hoc and complicated, non-physical correction factors to deal with the impact of TX antenna height [9], [21], [23]- [25], [28]. By incorporating the TX height as an adjustment to the PLE, we postulated that it could be possible to model secondary path loss effects due to antenna height, just as the CIF model captured secondary frequency-dependent effects, while retaining the physics of the primary frequency dependence of FSPL at close-in distances.…”

Section: B Cih Path Loss Modelmentioning

confidence: 99%

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Rural Macrocell Path Loss Models for Millimeter Wave Wireless Communications

MacCartney

Rappaport

2017

IEEE J. Select. Areas Commun.

157

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Little research has been done to reliably model millimeter wave (mmWave) path loss in rural macrocell settings, yet, models have been hastily adopted without substantial empirical evidence. This paper studies past rural macrocell (RMa) path loss models and exposes concerns with the current 3rd Generation Partnership Project (3GPP) TR 38.900 (Release 14) RMa path loss models adopted from the International Telecommunications Union -Radiocommunications (ITU-R) Sector. This paper shows how the 3GPP RMa large-scale path loss models were derived for frequencies below 6 GHz, yet they are being asserted for use up to 30 GHz, even though there has not been sufficient work or published data to support their validity at frequencies above 6 GHz or in the mmWave bands. We present the background of the 3GPP RMa path loss models and their use of odd correction factors not suitable for rural scenarios, and show that the multi-frequency close-in free space reference distance (CI) path loss model is more accurate and reliable than current 3GPP and ITU-R RMa models. Using field data and simulations, we introduce a new close-in free space reference distance with height dependent path loss exponent model (CIH), that predicts rural macrocell path loss using an effective path loss exponent that is a function of base station antenna height. This work shows the CI and CIH models can be used from 500 MHz to 100 GHz for rural mmWave coverage and interference analysis, without any discontinuity at 6 GHz as exists in today's 3GPP and ITU-R RMa models.

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Section: A 3gpp Rma Los Path Loss Modelmentioning

confidence: 86%

Section: B Cih Path Loss Modelmentioning

confidence: 99%

Rural Macrocell Path Loss Models for Millimeter Wave Wireless Communications

MacCartney

Rappaport

2017

IEEE J. Select. Areas Commun.

157

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“…A comparison of the developed model with above cited models gives large difference because of different geographical conditions in India. Therefore for accurate path loss prediction, field measurements must be performed and the measured data can be used to correct the existing model or to develop a new model [8]and [10]. The simulated results indicated in Table 1 shows that bit error rate BER increases with the vehicle speed.…”

Section: Resultsmentioning

confidence: 99%

A Study of the Influence of Path Loss and Short Term Fading on the Performance of Mobile Radio System

Shrawankar¹,

Kulat²

2013

IJCA

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The mobile radio channel places strong limitations on the performance of wireless communication systems because the transmission principle in wireless communication is more complex than those of the wired networks. In this paper we discuss the radio propagation with an objective to provide an overview of various characteristics of radio channel and an understanding of the process and factors that influences these characteristics. Section I describe a typical outdoor scenario for terrestrial mobile radio channel and principle causes of information loss (multipath fading). Section II presents the various radio channel characteristics like path loss which is used to denote the local average received signal power relative to the transmit power and helps in providing the information on coverage area. Other higher order statistical characteristics such as level crossing rate (lcr) and average duration of fade (adf), which relates the time rate of change of the received signal to the signal level and velocity of the mobile, are also considered to study the influence of short term fading on the performance of the wireless system. Section III contains the observed path loss and its comparison with the simulated path loss propagation models. Lcr and adf are obtained from the received signal envelop in section IV to study the system performance. The simulated results obtained in section III and section IV provide valuable information on coverage area, and choice of suitable data rate, word length, modulation, and coding schemes as stated in table1. General TermsRadio wave propagation, Mobile communication.

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“…It turns out that the noise attenuation level guaranteed by an filter design without considering nonnegligible time delays may become invalid in the presence of time delays. Time delays often arise in many signal-processing related problems, such as echo cancellation, local loop equalization, multipath propagation in mobile communications, and array signal processing [2], [11], [15]. Several robust filtering approaches for linear systems with multiple time delays have been developed over the past few years [4], [7], [17], [18], [27], [31].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy $H_\infty$ Filter Design for a Class of Nonlinear Discrete-Time Systems With Multiple Time Delays

Zhang

Lun

Liu

2007

IEEE Trans. Fuzzy Syst.

132

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This paper studies the fuzzy filter design problem for signal estimation of nonlinear discrete-time systems with multiple time delays and unknown bounded disturbances. First, the Takagi-Sugeno (T-S) fuzzy model is used to represent the state-space model of nonlinear discrete-time systems with time delays. Next, we design a stable fuzzy filter based on the T-S fuzzy model, which guarantees asymptotic stability and a prescribed index for the filtering error system, irrespective of the time delays and uncertain disturbances. A sufficient condition for the existence of such a filter is established by using the linear matrix inequality (LMI) approach. The proposed LMI problem can be efficiently solved with global convergence guarantee using convex optimization techniques such as the interior point algorithm. Simulation examples are provided to illustrate the design procedure of the present method.

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Multipath propagation model for line-of-sight street microcells in urban area

Cited by 31 publications

References 12 publications

Rural Macrocell Path Loss Models for Millimeter Wave Wireless Communications

Rural Macrocell Path Loss Models for Millimeter Wave Wireless Communications

A Study of the Influence of Path Loss and Short Term Fading on the Performance of Mobile Radio System

Fuzzy $H_\infty$ Filter Design for a Class of Nonlinear Discrete-Time Systems With Multiple Time Delays

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