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  <channel rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/146">
    <title>Repository Collection: null</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/146</link>
    <description />
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        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/56764" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/47369" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/46959" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/6602" />
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    <dc:date>2026-04-06T03:55:54Z</dc:date>
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  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/56764">
    <title>위성 통신 보안을 위한 온보드 전송 및 계산 전력 최적화</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/56764</link>
    <description>Title: 위성 통신 보안을 위한 온보드 전송 및 계산 전력 최적화
Author(s): 전수현; 곽정호; 최지환
Abstract: 본 논문은 다수의 도청자가 존재할 수 있는 위성 통신 환경에서 전송 및 컴퓨팅 파워를 동시에 고려한 위성 통신 보안 기법을 제안한다. 도청자 수를 바탕으로 한 보안 위협을 활용하여 위성의 온보드 전력을 비암호화 및 암호화 신호와 암호화 계산에 분배한다. 두 신호의 동시 전송을 위해서 비직교 다중접속 기술을 활용하여 보안 위협이 높아질수록 기존의 물리 계층 보안 기술보다 향상된 보안 성능을 달성한다.</description>
    <dc:date>2023-02-09T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/47369">
    <title>Cross-layer optimization for satellite-terrestrial heterogeneous networks</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/47369</link>
    <description>Title: Cross-layer optimization for satellite-terrestrial heterogeneous networks
Author(s): Choi, Jihwan P.; Joo, Changhee</description>
    <dc:date>2014-02-05T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/46959">
    <title>Performance Analysis of Satellite Server Mobile Edge Computing Architecture</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/46959</link>
    <description>Title: Performance Analysis of Satellite Server Mobile Edge Computing Architecture
Author(s): Kim, Taeyeoun; Choi, Jihwan P.
Abstract: As the 5G network promises to provide ultra-low latency services, mobile edge computing (MEC) is drawing attentions. MEC in satellite networks will be able to provide lower latency service with the advantage of a global coverage, and make satellite network virtualization feasible. In this paper, an analytic study of the overall satellite server MEC network architecture is presented. A satellite constellation model with the undirected graph representation is proposed for simulations. Propagation delays for constellation topologies and queueing delays with uplink and downlink packet error rate (PER) are considered for performance analysis. The average total latency and jitter are analyzed according to the ground distance between transmitters and receivers with respect to the offloading rate and satellite altitude. In conclusion, a guideline for the efficient satellite MEC architecture is proposed in terms of the MEC satellite parameters. © 2020 IEEE.</description>
    <dc:date>2020-11-20T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/6602">
    <title>Modeling and analysis of resource allocation for distributed antenna systems connected with satellite backhauls</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/6602</link>
    <description>Title: Modeling and analysis of resource allocation for distributed antenna systems connected with satellite backhauls
Author(s): Choi, Jihwan P.; Chang, Seok-Ho
Abstract: Distributed antenna systems (DAS) are widely deployed to extend the coverage area and increase the system throughput. Connection to satellite backhauls can enhance the economics of satellite networks by overcoming long propagation delays and non-line-of-sight channels. Coordinated network control is essential to manage interferences and to maximize system efficiency. In this paper, we optimize a joint scheme of packet routing from data sources to distributed antennas and resource allocation for links from antennas to end users. We solve a conventional discrete antenna element modeling problem, and then extend it to the case of a very large number of elements by modeling as a continuous aperture antenna over a large area. Finally, we present a problem of satellite backhauls to show that end-to-end network flows should be jointly scheduled with overall resource allocation of satellites and terrestrial antenna systems. © 2017, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.</description>
    <dc:date>2017-10-15T15:00:00Z</dc:date>
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