1977
DOI: 10.1109/tcom.1977.1093736
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Influence of Environmental Buildings on UHF Land Mobile Radio Propagation

Abstract: Absfract-This paper describes the result of measurements of the correction factor for buildings around a mobile station on UHF land mobile propagation characteristics. In order to express buildings around a mobile station quantitatively, four parameters are proposed: area factor of occupied buildings (a), extended-area factor of occupied buildings (a'), buildings volume over a sampled area @) and buildings volume over an extended-area @').The examination was carried out for each parameter in the 400 MHz and th… Show more

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Cited by 52 publications
(18 citation statements)
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“…The reason cited is the difference in characteristics of Tokyo city. Kozono and Watanabe (1977) have tried to modify the model by including a measure of building density, but such approach has not found common acceptance. The third problem is that the model has been developed for only three categories of land usage (rural, sub-urban and urban) as in practice the classification of land usage of a country (e.g.…”
Section: Survey Of Various Propagation Models and Their Technical Bacmentioning
confidence: 99%
“…The reason cited is the difference in characteristics of Tokyo city. Kozono and Watanabe (1977) have tried to modify the model by including a measure of building density, but such approach has not found common acceptance. The third problem is that the model has been developed for only three categories of land usage (rural, sub-urban and urban) as in practice the classification of land usage of a country (e.g.…”
Section: Survey Of Various Propagation Models and Their Technical Bacmentioning
confidence: 99%
“…CORRECTION FORMULA FOR SUBURBAN AREA In a manner similar to the conventional method, we obtain the differences between the measured path loss in a suburban area and the prediction formula for an urban area as correction value S (dB), and derive the correction formula by performing a regression of correction value S using the percentage of area occupied by buildings, a, for each area defined as given below [15]. Area occupied buildings .100 (Oo) (8) Area of prediction target In the conventional method, S is set to the median value of the difference between the measured values in a 500-m square area and the calculated values using the prediction formula for an urban area.…”
Section: Verification Of Multiple Regression Formula Throughmentioning
confidence: 99%
“…This paper proposes a prediction formula for urban and suburban areas for the radio link design of the 4G systems. We derive a multiple regression formula from measurement data of the target area as the prediction formula for an urban area and obtain a correction formula for suburban areas based on the analysis of the difference between calculated values using the prediction formula for urban areas and the received levels measured in the suburban area [15]. First, we describe the path loss measurements that are carried out in urban and suburban areas in Japan to obtain the data for deriving the multiple regression formula for urban areas and the correction formula for suburban areas.…”
Section: Introductionmentioning
confidence: 99%
“…Path loss depends on the distance, relative heights of transmitting and receiving antennas, terrain variations, and radio frequency. This paper uses the propagation model for path loss described in [8], [9] which is in the case that radio frequency is 2GHz.…”
Section: Ps Portable Stationmentioning
confidence: 99%
“…BER is improved by these error correct method, we assume that call blocking occurs when the BER without error correct is lower than BERcalI blocking, we define that probability in equation (8) Call blocking rate = Pr BER(r) 2 BERCa,, blocking] (*) [ where, BER,,,, blocking is call blocking rate occurring call blocking, and we define call blocking rate in the whole cell by equation (9) Call blocking ratecell where rmax is the maximum distance handled by a CS.…”
Section: Analysis Modelmentioning
confidence: 99%