• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.10 no.5
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• pp.87-92
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• 2011

In this paper, we got the 800 ~ 900 MHz path loss model for Russia PNG area using the free space model and the Okumura-Hata Model. In order to add new regional properties to the existing path loss model, the mean square error technique is used to obtain the correction factor. The correction factors for the free space and the Hata model are 28, 13 dB respectively. By applying this correction factors, the new Russain PNG path loss model is proposed.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.3
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• pp.194-198
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• 2011

In this paper, we obtained the path loss characteristics in the 850 MHz for Russia area by using the free space path loss model and Okumura-Hata path loss model. In order to extract the additional path loss model parameter from the new Russian regional properties, the mean square error technique is used to obtain the correction factor. According to the obtained correction factor, the differences for the free space and Hata path loss model are 17, 6 dB in the 5 ~ 10 Km, 28, 14 dB in the 10 ~ 15 Km, and 35, 18 dB in the 15 ~ 20 Km. By applying the correction factors, the appropriate partial path loss models for the measured Russain area are proposed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.601-602
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• 2013

경로손실 예측 모델은 무선 네트워크 설계를 위한 기본 척도이며, 적용 환경과 적용 시스템에 영향을 받는 특징이 있다. 대부분의 기존 연구는 도심, 교외와 같은 육상 환경을 기반으로 한다. 일반적으로 해수면 경로 손실은 전파의 잦은 굴절로 인해 지표면 보다 크며, 주파수에 비례한 경로손실이 있다고 알려져 있다. 하지만 해상 환경의 관련 연구는 자유공간에 적용하기 때문에 예측 모델의 정확성을 낮춘다. 본 논문은 해상 무선통신 서비스를 위한 2.4 GHz 대역의 해수면 경로손실 예측 모델을 제안한다. 이를 위해 육상과 해상에서 각각 수신신호 세기를 측정하고, 다양한 예측 모델과 비교 분석하여 실용성과 정확성을 입증한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.9
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• pp.765-772
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• 2013

In this paper, we studied the path loss model of Air Traffic Control(ATC) telecommunication radio channel at the Incheon International Airport(IIA) concourse area. We measured wave propagation characteristics on the two frequencies among VHF/UHF channel bands. The transmitting site radiated the Continuous Wave(CW). The propagation measurement was taken using the moving vehicle equipped with receiver and antenna. The transmitting power, frequency, and antenna height are the same as the current operating condition. The path loss exponent and intercept parameters were extracted by the basic path loss model and hata model. The path loss exponents at Concourse area were 3.1/3.13 and 3.01/3.38 respectively in 128.2MHz and 269.1MHz. The deviation of prediction error is 2.77/3.17 and 4.01/3.66. The new path loss equation at the Concourse area was also developed using the derived path loss parameters. The new path loss model was compared with other models. This result will be helpful for the ATC site selection and service quality evaluation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.11a
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• pp.155-158
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• 2009

원활한 방송 서비스를 제공하고 손쉬운 방송망 구축을 위해서 가장 중요한 것은 서비스 하 고자 하는 주파수 대역과 환경에 맞는 전파 모델을 선택하는 것이다. 적절한 전파 모델을 선택하여 수신 전계 강도를 정확하게 예상함으로써 효율적인 방송망을 설계할 수 있는 것이다. 방송망 주파수 대역에서 전파 분석 시 널리 이용되고 있는 모델은 ITU-R 권고안 P.1546 모델이다. 이 모델은 기존의 Okumura 나 Hata 모델처럼 측정을 기반으로 하여, 송신단 높이, 수신단 높이, 주파수, 거리, 시간율, 공간율 들을 고려하여 완성한 점대 영역 경로 손실 예측 모델이다. 측정을 기반으로 완성된 경로 손실 모델이기 때문에 실제 환경에 적용하기 위해서는 전계강도 예측 지역의 수신 환경 특성을 반영한 보정값을 더해줘야 한다. 이러한 문제를 해결하기 위해서 ITU-R 연구 3그룹은 지형 프로파일에 기반한 새로운 모델들을 개발하였다. 송, 수신단 사이의 지형 데이터가 고도화되면서 좀 더 정밀한 송, 수신단 사이의 지형 프로파일을 추출해 낼 수 있으며 이는 정확한 전계강도 예측을 가능하게 하였다. 이에 연구 3그룹은 고도화된 디지털 지형 데이터를 이용하여 자유 공간에서 경로 손실, 지형에 의한 회절 손실, 대류권 산란 손실 그리고 ducting 현상을 반영하여 전계강도를 산출해 내는 ITU-R P.1812 모델을 제안하였다. 본 논문에서 우리는 ITU-R 권고안 P.1812를 분석 구현하고 기존의 대표 모델인 P.1546 모델과의 비교 분석을 시도하였다.

• The Journal of the Acoustical Society of Korea
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• v.22 no.7
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• pp.579-584
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• 2003

All of propagation path loss prediction models, which have been presented up to date, are oかy for ground living space. In reality, sea surface free space is different from ground living space in physical hierarchical structure. If the propagation path prediction model for ground living space is applied to the sea surface free space, propagation path loss will be smaller than actual value, while the maximum service straight line will become shorter. Thus this paper proposed and simulated the propagation path loss prediction model for predicting propagation path loss more accurately in sea surface free space, with its focus on CDMA mobile communication frequency band. Then the simulation results were compared to actual survey to verify its practicality.

• Journal of the Institute of Convergence Signal Processing
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• v.15 no.1
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• pp.9-14
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• 2014

The path loss data was re-calculated according to the distance between the base station and a mobile station in the mobile telecommunications network. In this paper, the averaged path loss data was plotted with the conventional path loss models(free space, plane earth, Hata model ${\ldots}$). The standard deviations for the 2 Km, 1 Km, 0.5 Km-interval averaged path loss were 2.29 dB, 3.39 dB, 4.75 dB, respectively. Additionally, the derivative values for the 2 Km, 1 Km, 0.5 Km-interval averaged path loss were evaluated to find the positions with more than 1 times or 2times of the standard deviation. The situations with the sharply fluctuated path loss were calculated to 5 positions in the 2 Km interval, to 7 positions in the 1 Km interval, to 19 positions in the 0.5 Km interval, respectively. And, the exact distances between the base station and a mobile station were found with the sharply fluctuated path loss.

• Journal of the Korea Society of Computer and Information
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• v.29 no.2
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• pp.1-12
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• 2024

Predicting path loss is one of the important factors for wireless network design, such as selecting the installation location of base stations in cellular networks. In the past, path loss values were measured through numerous field tests to determine the optimal installation location of the base station, which has the disadvantage of taking a lot of time to measure. To solve this problem, in this study, we propose a path loss prediction method based on machine learning (ML). In particular, an ensemble learning approach is applied to improve the path loss prediction performance. Bootstrap dataset was utilized to obtain models with different hyperparameter configurations, and the final model was built by ensembling these models. We evaluated and compared the performance of the proposed ensemble-based path loss prediction method with various ML-based methods using publicly available path loss datasets. The experimental results show that the proposed method outperforms the existing methods and can predict the path loss values accurately.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39A no.8
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• pp.437-444
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• 2014

In this paper, we propose a path loss model with the multiple antennas and doppler shift for high speed railroad communication. Path loss model is very important in order to design consider diverse characteristic in high-speed train communication. Currently wireless communication systems use the multiple antennas in order to improve the channel capacity or diversity gain. However, until recently, many researches on path loss model only consider geographical environment between the transmitter and the receiver. There is no study about path loss model considering diversity effect and doppler shift. In order to make average residuals considering doppler shift we use tuned free space path loss model which is utilized for measurement results at high speed railroad. The environment of high speed rail is mostly at viaduct and flatland over than 50 percent. And in order to make average residuals considering multiple antenna we use theoretical estimation of diversity gain with MRC scheme. proposed model predict loss of received signal by estimating average residuals between diversity effect and doppler shift.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.2985-2991
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• 2013

Train radio system has been constructed in the second stage of Kyung-bu high speed railway adopting TETRA(Terrestial trunk radio) standard at 851MHz frequency band. The base stations of the train radio system should be located along railway track to ensure seamless communication between train and wayside taking the path loss of train radio propagation into consideration. This paper provides a quantitative analysis of the path loss characteristics based on the measurement results of the train radio propagation along the high speed railway. The free space propagation model and Okumura-Hata model are generally used for base station design, but they predicted 10dB lower or 20dB higher than the measured path loss. Linear regression of the field measured data by applying the log-distance model shows path loss exponent is in the 2.8-3.2 range, which can be used to predict the path loss of the train radio propagation.