A Geometrical-Based Vertical Gain Correction for Signal Strength Prediction of Downtilted Base Station Antennas in Urban Areas

Rodríguez, Inés González; Nguyen, Huan Cong; Sørensen, Troels B.; Elling, Jan; Gentsch, Morten B.; Sørensen, Mads Peter; Kuru, Lauri; Mogensen, Preben

doi:10.1109/vtcfall.2012.6399282

Cited by 15 publications

(13 citation statements)

References 5 publications

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“…In order to quantify the practicability of these models, three kinds of model selection algorithms are employed. RMSE criteria is a commonly used methodology to evaluate the difference between the theoretical model and measurement data [11,23,24] due to low complexity. By defining the model selection as an "track association problem" in automation and traffic field, [10] provides two new methods (GRG-MAPE and PCC-MAPE) based on Uncertainty-Mathematical Theory, which have been proven more accurate than RMSE.…”

Section: Performance Evaluationmentioning

confidence: 99%

Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz

Chen

Yang³

et al. 2017

International Journal of Antennas and Propagation

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In this paper, a propagation path loss model for inland river is proposed by three improvements compared with the Round Earth Loss (REL) model for open-sea environment. Specifically, parameters optimization uses Okumura-Hata model in dB scale to replace the equation transformed from the free space loss in REL model; secondly, diffraction loss caused by the obstacles (e.g., large buildings, bridges, or some other facilities near the river bank) is also taken into account; mixed-path methodology as another improvement is used for Inland River (IR) model because the actual propagation environment between transmitter (TX) antenna and receiver (RX) antenna contains both land part and water part. The paper presents a set of 1.4 GHz measurements conducted along the Yangtze River in Wuhan. According to the comparison between path loss models and experimental results, IR model shows a good matching degree. After that, Root Mean Square Error (RMSE), Grey Relation Grade and Mean Absolute Percentage Error (GRG-MAPE), Pearson Correlation Coefficient, and Mean Absolute Percentage Error (PCC-MAPE) are employed to implement quantitative analysis. The results prove that IR model with consideration of mixed path and deterministic information is more accurate than other classic empirical propagation models for these scenarios.

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Section: Performance Evaluationmentioning

confidence: 99%

Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz

Chen

Yang³

et al. 2017

International Journal of Antennas and Propagation

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“…This is illustrated in Figure 2.b. In macro cells, the radio signal propagates above rooftops and gets diffracted from rooftop to street level [83,84]. Differently, in outdoor small cells, the radio signal is guided along street canyons, due to reflection and scattering on the buildings, and diffraction on the corners [85].…”

Section: Radio Propagation Considerationsmentioning

confidence: 99%

5G – Wireless Communications for 2020

Barreto

Faria²,

Almeida³

et al. 2016

JCIS

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Abstract-Existing cellular technologies are rapidly coming to their performance limits. This is due not only to the growth in data traffic and in the number of connected terminals, but also because we are on the verge of new era, where everyone and everything will be connected, with more demanding and varied requirements that cannot be satisfied by current networks. On account of this, efforts are being made all over the world to design new wireless technologies that will support the expected demands for the next decade. These technologies, embraced under the commercial name of 5 th generation, are currently being studied, and in this tutorial paper we will give an overview of the main trends that are likely to make their way in the next-generation standards.

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“…Scenarios are modeled by using a three-dimensional map of the city. Signal propagation is predicted by path loss maps computed using state-of-the-art ray-tracing techniques based on the Dominant Path Model (DPM) [10] and calibrated following recommendations from [11]. As each path loss map has a resolution of 5 m x 5 m, radio propagation conditions are considered constant within a 25 m 2 area.…”

Section: Measurements and Simulations Comparisonmentioning

confidence: 99%

Mobility Performance in Slow- and High-Speed LTE Real Scenarios

Gimenez

Cascino

Stefan

et al. 2016

2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)

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Abstract-Mobility performance and handover data interruption times in real scenarios are studied by means of field measurements in an operational LTE network. Both slow-and high-speed scenarios are analyzed by collecting results from two different areas: Aalborg downtown and the highway which encircles the same city. Measurements reveal that the terminal is configured by the network with different handover parametrization depending on the serving cell, which indicates the use of mobility robustness optimization. Although the network is dominated by threesector sites, no intra-site handovers are observed in the city center as cells on the same site often cover different noncrossing street canyons. Moreover, no handover failures are experienced in the measurements which confirms robust LTE mobility performance. The average interruption time, which is at least equal to the handover execution time, lays within a 24-29 ms interval. Nevertheless, examples of delays larger than 100 ms are occasionally observed. The studied scenarios are replicated in a system level simulator to investigate whether simulations are capable of reproducing similar mobility performance.

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A Geometrical-Based Vertical Gain Correction for Signal Strength Prediction of Downtilted Base Station Antennas in Urban Areas

Cited by 15 publications

References 5 publications

Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz

Path Loss Channel Model for Inland River Radio Propagation at 1.4 GHz

5G – Wireless Communications for 2020

Mobility Performance in Slow- and High-Speed LTE Real Scenarios

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