Path loss and RMS delay spread model for 5G channel at 19 GHz

The importance of the path loss in millimeter wave channel propagation cannot be taken for granted in terms of deployment, design, performance assessment, and planning. The path loss helps to determine the network’s geographic coverage. Although many path loss models, including statistical and empirical models based on measurement and linear regression, have been proposed by various researchers, high fidelity is required to determine the performance of the wireless network’s channel. This research validates the improved version of the well-known close in (CI) and floating intercept (FI) path loss models at frequency bands of 28 and 38 GHz. The measurement surroundings comprised of an enclosed passageway with vertical-horizontal (V-H) and vertical-vertical (V-V) antenna polarizations. One of the key findings of this study is that the enhanced versions of these models typically perform better in terms of consistency than the standard models thereby justifying their high accuracy level. The improved versions of the CI and the FI models demonstrate a significant improvement for various antenna polarizations. The mean prediction error (MPE) and standard deviation error (SDE) also show how precisely and accurately the improved models predict the path loss. Additionally, the improved models provide the reasonable responsiveness and uniformity of the parameters with the change in the antenna polarization and lower the shadow fading’s standard deviation in LOS as well as NLOS situations. The results confirm that the modified versions of CI and FI models predict path loss better in an enclosed environment for 5G networks.

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“…Friis' equation [32,58,59] can be used to derive all PL prediction models in general as given below:…”

Section: Large Scale Pl Prediction Modelsmentioning

confidence: 99%

Performance analysis of improved path loss models for millimeter-wave wireless network channels at 28 GHz and 38 GHz

2023

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“…In the last 20 years, there has been substantial research into various propagation channels that could be used for indoor channels. While some have concentrated on both outdoor and indoor office spaces, others have concentrated solely on interior office environments [ 41 , 42 , 43 , 44 , 45 , 46 , 47 ]. Wang et al produced model descriptions with probability distributions; they relied on the parameters in research on an empirical path loss model for wireless channels in indoor short-range office environments.…”

Section: Literature Reviewmentioning

confidence: 99%

Path Loss Measurements and Model Analysis in an Indoor Corridor Environment at 28 GHz and 38 GHz

Oladimeji

Kumar

Elmezughi

2022

Sensors

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This paper examines the large-scale path loss models for an indoor corridor environment at frequencies of 28 and 38 GHz. The measurement environment consists of an indoor corridor with both line-of-sight (LOS) and non-line of sight (NLOS) scenarios using vertical–vertical (V–V) and vertical–horizontal (V–H) antenna polarizations. The single-frequency close-in (CI), floating intercept (FI), free space large-scale path loss models and measured data from the measurement campaign were used to evaluate the performance analysis. The paper also focuses on various parameters, such as standard deviation, path loss exponent (PLE), accuracy, simplicity, and stability of the models. The analysis focuses on the peculiarity of the effect of the wall proximity on the path loss parameters as well as comparisons with the parameters in some of the reviewed literature studies. The FI and CI models produce comparable results for both antenna polarizations and clearly fit with the measured path loss. The PLE, with the highest value of 3.33 at 38 GHz (V–H), is much higher in the NLOS scenario with V–H polarization due to the signal degradation along the path from the transmitter (Tx) to the receiver (Rx). This is because there is no direct LOS between the Tx and Rx antennas. The Rx only relies on signal diffractions and reflections from obstacles as it transmits through the path from the Tx antenna. The path loss measurements and model analysis presented here are useful in designing 5G wireless communication systems for indoor environments, particularly for power budget calculations.

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Section: Introductionmentioning

confidence: 99%

“…Many comparative studies between the existing path loss prediction models show the CI and FI models' preference over other models like the ABG model [23], [39], [54], [55]. The CI and FI models offer a precise estimation of the largescale path loss as a function of the 3D Tx-Rx separation distance over the SHF and mmWave frequency regimes [24], [41], [55]. Hence, we hereby propose to further improve these two models while avoiding a large increase in the models' complexity to be used by engineers in the system design and calculations of the link-budget.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach of Improving Path Loss Models for Future Mobile Networks in Enclosed Indoor Environments

Elmezughi

Afullo

2021

IEEE Access

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Path loss is the primary aspect that determines the overall coverage of networks. Designing reliable wireless communication systems requires accurate path loss prediction models. Future wireless mobile systems will rely mainly on the super-high frequency (SHF) and the millimeter-wave (mmWave) frequency bands due to the massive available bandwidths that will meet projected users' demand, such as the needs of the fifth-generation (5G) wireless systems and other high-speed multimedia services. However, these bands are more sensitive and exhibit a different propagation behavior compared to the frequency bands below 6 GHz. Hence, improving the existing models and developing new models are vital for characterizing the wireless communication channel in both indoor and outdoor environments for future SHF and mmWave services. This paper proposes an efficient improvement of the well-known close-in (CI) free space reference distance model and the floating-intercept (FI) model. Real measured data was taken for both line-of-sight (LOS) and non-line-of-sight (NLOS) communication scenarios in a typical indoor corridor environment at three selected frequencies within the SHF band, namely 14 GHz, 18 GHz, and 22 GHz. The research finding of this work reveals that the proposed models have better performance in terms of their accuracy of fitting real measured data collected from measurement campaigns. In addition, this work studies the impact of the angle of arrival and the antenna heights on the current and improved CI and FI models. The results show that the improved models provide better stability and sensitivity to the change of these parameters. Furthermore, the mean square error between the models and their improved versions were presented. Finally, this paper shows that shadow fading's standard deviation can have a notable reduction in both the LOS and NLOS scenarios (especially in the NLOS), which means higher precision in predicting the path loss.INDEX TERMS Path loss, propagation measurements, 5G, angle of arrival, antenna height.

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Path loss and RMS delay spread model for 5G channel at 19 GHz

Cited by 8 publications

References 17 publications

Performance analysis of improved path loss models for millimeter-wave wireless network channels at 28 GHz and 38 GHz

Performance analysis of improved path loss models for millimeter-wave wireless network channels at 28 GHz and 38 GHz

Path Loss Measurements and Model Analysis in an Indoor Corridor Environment at 28 GHz and 38 GHz

An Efficient Approach of Improving Path Loss Models for Future Mobile Networks in Enclosed Indoor Environments

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