Diagnostic Analysis of Radio Propagation in UMTS Networks Using High-Resolution Angle-of-Arrival Measurements

Kwakkernaat, M. R. J. A. E.; Herben, M.H.A.J.

doi:10.1109/map.2011.5773569

Cited by 6 publications

(3 citation statements)

References 20 publications

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“…In [36], they use the RT and edge peak diffraction theory to propose a model. From the above references, it is evident that deterministic models are primarily applicable to small-scale scenarios within a prediction range of 200 m. This limitation arises because achieving precise predictions with deterministic models requires a substantial amount of environmental parameters and computational resources [37][38][39]. The expansion of the prediction range imposes higher demands on data collection and computing power, which is a key reason why deterministic methods are not as widely employed as the other two methods.…”

Section: Other Modelsmentioning

confidence: 99%

The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation

Wang,

Hao,

Yang

2023

Electronics

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The radio channel model is a major factor supporting the whole life cycle of the terrestrial radio system, including the demonstration, design, validation, operation, and so on. To improve the spectrum sharing and spectral efficiency in terrestrial radio services, we analyze three types of path loss models in detail: deterministic, empirical, and semi-empirical models, to meet the requirements of path loss modeling for supporting traditional band expansion and reuse. Then, we conduct a comparative analysis based on the characteristics of the current models. Furthermore, a preview of the future terrestrial path loss modeling methods is provided, including intelligent modeling processes and multi-model hybridization methods. Finally, we look forward to the potential technology that can be used in future wireless communication, such as terahertz communication, reconfigurable intelligent surface technology, and integrated communication and sensing technology. The above research can provide a reference for the development of terrestrial radio channel modeling, promoting the technologies of terrestrial channel modeling. We hope this paper will stimulate more interest in modeling terrestrial radio channels.

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Section: Other Modelsmentioning

confidence: 99%

The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation

Wang,

Hao,

Yang

2023

Electronics

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“…It is known that propagation issues might result in cellular networks performing poorly than intended. Echoes, unforeseen handovers, frequent dropped calls, reduced coverage and overall network congestion are some examples of how these are exhibited 15 . This is because the electromagnetic wave's strength as it travels across space from its source to a mobile device determines the signal value and level for a network's speech and data services.…”

Section: Introductionmentioning

confidence: 99%

A comparative study of path loss models in the ultra-high frequency band in a vegetated environment

Obot

Onuu

Arikpo

et al. 2022

Preprint

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With the additional challenge of forecasting a transmitter’s radio coverage region, radio propagation models concentrate on path loss realization. Empirical approaches are used in radio propagation models. Path loss models are essential in mobile radio systems for effective planning, as well as for calculations of interference, frequency assignments, and cell parameters-the fundamental building blocks of the network planning process. For a given scenario, they are created using a substantial amount of data collected. This work presents a comparative study of path loss models in the ultra-high frequency (UHF) band in vegetated environments of three cities in South Eastern Nigeria. The applicability of the computed empirical propagation models was confirmed using the practical measured data collected from the fields. The findings revealed that, in general, all the vegetated environments had path loss that was overestimated by the SUI and ECC-33 models. For any vegetated region of South Eastern Nigeria, the Hata’s model outperforms the other propagation models, with mean square error (MSE) values of 4.08 dB, 5.50 dB, and 3.75 dB respectively. The MSE value is below 6 dB, thus it is suitable for signal prediction.

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“…It is established that propagation phenomena can cause unexpectedly poor performance in cellular networks. These are manifested in reduced coverage, dropped calls and unexpected hand overs [2]. The performance of the cellular network can be assessed, or new networks can be designed when different models are tested with observed results.…”

Section: Introductionmentioning

confidence: 99%

EXPERIMENTAL INVESTIGATION OF GSM 900 MHz RESULTS OVER NORTHERN INDIA WITH AWAS ELECTROMAGNETIC CODE AND OTHER PREDICTION MODELS

Prasad¹,

Dalela²,

Misra³

2012

PIER

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Abstract-Recent trends in propagation modeling indicate the study of mobile radio propagation modeling with the help of electromagnetic formulations which traditionally has been explained with empirical methods. These empirical methods were preferred by the cellular operators in their radio planning tools due to their ease of implementation and less time consumption. In the present study, AWAS electromagnetic code and conventional prediction methods have been employed to explain the observed results of ten base stations mainly in the near field zones of GSM 900 MHz band situated in the urban and suburban regions around Delhi in India. The suitability of the above models in terms of prediction errors and standard deviations are presented. Path loss exponents deduced from the observed data have been explained by Sommerfeld's formulations.

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Diagnostic Analysis of Radio Propagation in UMTS Networks Using High-Resolution Angle-of-Arrival Measurements

Cited by 6 publications

References 20 publications

The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation

The Current Progress and Future Prospects of Path Loss Model for Terrestrial Radio Propagation

A comparative study of path loss models in the ultra-high frequency band in a vegetated environment

EXPERIMENTAL INVESTIGATION OF GSM 900 MHz RESULTS OVER NORTHERN INDIA WITH AWAS ELECTROMAGNETIC CODE AND OTHER PREDICTION MODELS

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