• The Journal of Korean Institute of Electromagnetic Engineering and Science
• /
• v.10 no.1
• /
• pp.133-141
• /
• 1999

In this paper, we present an indoor propagation prediction model which is based on a three-dimensional ray-tracing technique. In this model, instead of considering all obstacles such as furnitures and fixtures, etc., only main obstacles to the propagation such as walls, ceiling and floors are modeled as slabs with finite thickness and conductivity, and the significant phenomena of propagation are considered, so we can calculate simply and predict accurately the propagation losses. The propagating rays are considered to be reflected and transmitted specularly at the boundaries of obstacles, and diffracted at edges. The reflection and transmission losses on flat obstacles are calculated by using ray tracing method, and the diffraction losses at edges are calculated by using the uniform theory of diffraction (UTD) for finite conductivity media. The results simulated for some cases by this propagation model good agree with the measured value of pathloss.

• Journal of the Korean Institute of Telematics and Electronics T
• /
• v.35T no.1
• /
• pp.111-119
• /
• 1998

To predict propagation environments of antenna radiation pattern, it is very important for deceision of service area, selection of the best station location and design of cell etc. By analyzing the propagation prediction model that is varied acceding to the kind of antenna, beam angle, terrain and obstacles, we expect that the economic operating of communication networks, calling quality and service of subscriber will be enhanced. It was measured the fields strength to propose the optimal propargation predicted model of the zone of Seji base station in Naju-city. The simulations of field test are 4 types Hata model, the Egri model, the Carey model and the proposed model. Finally the proposed model are more close agreement with experimental test than other models.

• Proceedings of the Korea Contents Association Conference
• /
• 2003.11a
• /
• pp.204-209
• /
• 2003

In an urban area telecommunication using wireless system, the accurate prediction and analysis of wave propagation characteristics are very important to determine the service area, optimized selection of base station, and cell design, etc. In the stage of these analyses, we have to present the propagation prediction model which is varied with the type of antenna, directional angle, and configuration of the ground in our urban area. In addition we need to perform an analysis of the conventional model which is similar to ours and dig out the parameters to evaluate the wave environment before the cell design for the selected area. In this paper, we propose a wave propagation prediction model concerning the topography and obstacles in our urban area. We extract the parameters and apply them to the proposed wave environment for the simulation analyzing the propagation characteristics. Throughout these analyzing procedure, we extracted the essential parameters such as the position of the base station, the height of topography, and adequate type and height of the antenna with our preferable correctness.

• Journal of KIISE:Software and Applications
• /
• v.26 no.10
• /
• pp.1143-1155
• /
• 1999

셀룰러 방식의 이동통신 시스템에서 전파의 유효신호 도달범위를 예측하기 위해서는 전파전파 모델을 이용한 예측기법이 주로 사용된다. 그러나, 전파과정에서 주변 지형지물에 의해 발생하는 전파손실은 매우 복잡한 비선형적인 특성을 가지며 수식으로는 정확한 표현이 불가능하다. 본 논문에서는 신경회로망의 함수 근사화 능력을 이용하여 전파손실 예측모델을 생성하는 방법을 제안한다. 즉, 전파손실을 송수신 안테나간의 거리, 송신안테나의 특성, 장애물 투과영향, 회절특성, 도로, 수면에 의한 영향 등과 같은 전파환경 변수들의 함수로 가정하고, 신경회로망 학습을 통하여 함수를 근사화한다. 전파환경 변수들이 신경회로망 입력으로 사용되기 위해서는 3차원 지형도와 벡터지도를 이용하여 전파의 반사, 회절, 산란 등의 물리적인 특성이 고려된 특징 추출을 통해 정량적인 수치들을 계산한다. 이와 같이 얻어진 훈련데이타를 이용한 신경회로망 학습을 통해 전파손실 모델을 완성한다. 이 모델을 이용하여 서울 도심 지역의 실제 서비스 환경에 대한 타 모델과의 비교실험결과를 통해 제안하는 모델의 우수성을 보인다.Abstract In cellular mobile communication systems, wave propagation models are used in most cases to predict cell coverage. The amount of propagation loss induced by the obstacles in the propagation path, however, is a highly non-linear function, which cannot be easily represented mathematically. In this paper, we introduce the method of producing propagation loss prediction models by function approximation using neural networks. In this method, we assume the propagation loss is a function of the relevant parameters such as the distance from the base station antenna, the specification of the transmitter antenna, obstacle profile, diffraction effect, road, and water effect. The values of these parameters are produced from the field measurement data, 3D digital terrain maps, and vector maps as its inputs by a feature extraction process, which takes into account the physical characteristics of electromagnetic waves such as reflection, diffraction and scattering. The values produced are used as the input to the neural network, which are then trained to become the propagation loss prediction model. In the experimental study, we obtain a considerable amount of improvement over COST-231 model in the prediction accuracy using this model.

• Journal of Advanced Navigation Technology
• /
• v.17 no.6
• /
• pp.638-645
• /
• 2013

For the efficient use of the insufficient frequency resources, a precise prediction of field strength based on various propagation environments should be set up to design of radio stations with reliable transmit power and service coverage. Therefore, many countries have tried to secure the propagation models suitable for their each geographical environments, and also, some models like BCAST were developed by Korea, but these models give the different results compared to measured values. In this paper, based on the measurements of DTV broadcasting services in domestic rural area, analysis and comparison of ITU-R P.1546 and BCAST models provide errors between measured and predicted values, and some points for improving SMI system has been proposed. As a result, P.1546 model provides the valid predicted data similar to measured data, but BCAST model has some problems of large deviation and higher prediction to measured data. In future, these problems and fading loss due to a forest or group of trees, and reflection loss due to a lake or sea need to be studied carefully.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.05a
• /
• pp.7-10
• /
• 2003

방송을 포함한 무선통신 분야에서 전파전파 모델링에 의한 서비스 구역예측은 매우 중요하다. 그러나 대부분의 모델들이 전파전파의 물리량을 정확히 알아내는데 어려움을 가지고 있어 광범위한 측정에 기반한 통계치와 전자파 이론을 기초로 하여 일정범위의 정확도로 예측을 하고 있다. 우리나라 DTV 방송은 8-VSB방식으로 디지털 방송 서비스가 확산되고 있다. 2002년 수도권을 완료하고 2003년 광역시를 비롯하여 2005년 시 군 지역으로 서비스가 예정되어 있다. 본 논문에서는 Longley-Rice 전파전파 모델을 적용하고 미 상무부의 GLOBE 지형정보를 이용하여 DTV 서비스 구역을 예측하고자 한다.

• Journal of the Korean Institute of Telematics and Electronics T
• /
• v.35T no.3
• /
• pp.103-112
• /
• 1998

This paper proposes a propagation prediction model which can calculate a propagation path loss easily at option point in case of the propagation processing by repeat reflection when we analysis a propagation route, it makes the calculation speed which is the defect of a geometrical of image method and a ray-launching method improve and we develop and apply the algorithms which can do an angle of incidence, an angle of reflection with a propagation direct path, a reflection path and a maximum reflection number arithmetic process synchronously. Finally we choose as a sample which is the real road condition where is around SK telecoms chunnam branch office in wolgok-dong, kwangsan-ku, kwangju and simulate proposition model then we demonstrate the relative superiority with comparing the results.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 1997.10a
• /
• pp.302-307
• /
• 1997

철도는 평탄부, 고가부 및 성토부.절토부 등의 다양한 지형구조에 걸쳐서 뻗어 있으며, 지금까지는 평탄부와 고가부를 대상으로 하여 철도소음의 전파예측에 대한 검토를 해왔다. 본 연구에서는 유한 임피던스의 흡음성 Wedge 구조를 갖는 성토부 선로의 주행열차를 대상으로 소음전파 예측모델의 작성 및 소음전파 측정을 통하여 성토 선로구조에서의 철도소음 전파예측에 대하여 검토하였다.

• The Journal of the Acoustical Society of Korea
• /
• v.18 no.8
• /
• pp.100-107
• /
• 1999

When a subscriber service composed along the central street of urban in microcell and picocell mobile communication of cellular method, we proposed the propagation prediction model that mobile communication environment of urban can analyze exactly and faster men than a precedent. We simulate the proposed propagation prediction model under the urban propagation environment of PCS mobile communication and analyze distribution of received field strength in cell. As a results, we show the optimal condition of the transmitting power and the position of the base station in the microcell and the picocell mobile communication.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.15 no.1
• /
• pp.173-178
• /
• 2020

A multi-ray model has been used to interpret radio transmission losses in half-canyon structures with slope and to formulate a multi-ray propagation model depending on the angle of slopes. The cut-off angles for the third and fourth paths, which are the slope-sided reflection paths of the transmission and reception radio waves determined by the inclined angles of the slope, were calculated with the height and location of the transmitter and receiver. To predict transmission losses in an inclined plane environment, the embankment environment where the actual slope exists was modeled and simulated to calculate the loss of propagation transmission, and the radio wave transmission loss was confirmed by the measurement for the frequency band 1 to 6 GHz. Simulation results and measurement results showed similar trends in radio transmission loss, and radio transmission loss predictions and measurement results for various terrain information can be used in the design of radio propagation service.