• Title/Summary/Keyword: Radio Shadow

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Location Estimation Technique Based on TOA and TDOA Using Repeater (중계기를 이용한 TOA 및 TDOA 기반의 위치추정 기법)

  • Jeon, Seul-Bi;Hwang, Suk-Seung
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.4
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    • pp.571-576
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    • 2022
  • Due to the epochal development of the unmanned technology, the importance of LDT(: Location Detection Technology), which accurately estimates the location of a user or object, is dramatically increased. TOA(: Time of Arrival), which calculates a location by measuring the arrival time of signals, and TDOA(: Time Difference of Arrival) which calculates it by measuring the difference between two arrival times, are representative LDT methods. Based on the signals received from three or more base stations, TOA calculates an intersection point by drawing circles and TDOA calculates it by drawing hyperbolas. In order to improve the radio shadow area problem, a huge number of repeaters have been installed in the urban area, but the signals received through these repeaters may cause the serious error for estimating a location. In this paper, we propose an efficient location estimation technique using the signal received through the repeater. The proposed approach estimates the location of MS(: Mobile Station) employing TOA and TDOA methods, based on signals received from one repeater and two BS(: Base Station)s.

An Adaptive Coverage Control Algorithm for Throughput Improvement in OFDMA-based Relay Systems (OFDMA 기반 Relay 시스템에서 Throughput 성능 향상을 위한 적응적 커버리지 조절 기법)

  • Hyun, Myung-Reun;Hong, Dae-Hyoung;Lim, Jae-Chan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.9B
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    • pp.876-882
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    • 2009
  • In this paper, we propose a sub-cell coverage control algorithm for enhancement of the cell throughput in OFDMA based relay systems. Relay station (RS) is exploited for improved quality of the received signal in cellular communication systems, especially in shadow areas. However, since a RS requires additional radio resource consumption for the link between the base station (BS) and the RS, we have to carefully control the coverage areas if a mobile station (MS) is serviced via the BS or the RS considering the cell throughput. We consider radio resource reuse as well for the sub-cell coverage configuration by applying various reuse patterns between RSs. We also consider a time varying system by adaptively changing the threshold for coverage depending on the MSs' traffic in the cell. We initially determine the sub-cell coverage of the system depending on the ratio of received signal-interference-noise-ratio (SINR) of the MS from the BS and RSs, respectively. Then, the "sub-cell coverage threshold" varies based on the "effective transmitted bits per sub-channel" with time. Simulation result shows that the proposed "time varying coverage control algorithm" leads to throughput improvement compared to the fixed sub-cell coverage configuration.

Hiker Mobility Model and Mountain Distress Simulator for Location Estimation of Mountain Distress Victim (산악 조난자의 위치추정을 위한 이동성 모델 및 조난 시뮬레이터)

  • Kim, Hansol;Cho, Yongkyu;Jo, Changhyuk
    • Journal of the Korea Society for Simulation
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    • v.31 no.3
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    • pp.55-61
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    • 2022
  • Currently police and fire departments use a Network/Wifi/GPS based emergency location positioning system established by mobile carriers to directly link with the device of the people who request the rescue to accurately position the expected location in the call area. However in the case of mountain rescue it is difficult to rescue the victim in golden time because the location of the search area cannot be limited when the victim is located in a radio shadow area of the mountain or the device power is off and this situation become worse if victim fail to report 911 by himself due to the injury. In this paper, we are expected to solve the previous problem by propose the mobile telecommunication forensic simulator consist of time series of cell information, human mobility model which include some general and specific features (age, gender, behavioral characteristics of victim, etc.) and intelligent infer system. The results of analysis appear in heatmap of polygons on the map based on the probability of the expected location information of the victim. With this technology we are expected to contribute to rapid and accurate lifesaving by reducing the search area of rescue team.