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    트래픽 부하 기반 적응형 시맨틱 통신 기법

    한글로보기

    https://www.riss.kr/link?id=T17413556

    • 저자
    • 발행사항

      경산 : 영남대학교 대학원, 2026

    • 학위논문사항

      학위논문(석사) -- 영남대학교 대학원 , 컴퓨터공학과 , 2026. 2

    • 발행연도

      2026

    • 작성언어

      한국어

    • 주제어
    • KDC

      050 판사항(6)

    • 발행국(도시)

      경상북도

    • 기타서명

      Traffic load-based adaptive semantic communication scheme

    • 형태사항

      ⅴ, 53 p. : 삽화, 도표 ; 26 cm

    • 일반주기명

      영남대학교 논문은 저작권에 의해 보호받습니다.
      지도교수: 박영덕

    • UCI식별코드

      I804:47017-200000966718

    • 소장기관
      • 영남대학교 도서관 소장기관정보
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    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    In IEEE 802.11–based wireless LANs, the rapid growth of video
    streaming, AR/VR, and IoT traffic frequently drives the access point
    (AP) buffer into congestion, resulting in increased delay, packet loss, and
    degradation of service quality. Conventional bit-based communication
    transmits all data as raw bit streams, while most existing semantic
    communication schemes employ a fixed bandwidth compression ratio
    (BCR) and do not adapt to AP buffer dynamics, which limits their
    effectiveness under time-varying traffic loads.
    This thesis proposes an Traffic Load–based adaptive-BCR semantic
    communication scheme that jointly considers the semantic importance of
    data and real-time AP buffer state. AP buffer occupancy is continuously
    monitored and classified into traffic-load regions, and a suitable BCR in
    the range of 1/6 to 1/20 is selected for each region, with a hysteresis
    mechanism to prevent frequent parameter switching near the thresholds.
    The proposed scheme is evaluated using an ns-3–based discrete-event
    simulation of an IEEE 802.11 WLAN under low, medium, high, and
    mixed traffic-load scenarios. Performance is assessed in terms of AP
    buffer occupancy, packet loss rate, end-to-end delay, and Effective PSNR
    that accounts for packet drops. The results show that the proposed
    adaptive-BCR semantic communication effectively alleviates AP buffer
    saturation, reduces packet loss and delay, and improves Effective PSNR,
    especially under medium and high traffic loads.
    번역하기

    In IEEE 802.11–based wireless LANs, the rapid growth of video streaming, AR/VR, and IoT traffic frequently drives the access point (AP) buffer into congestion, resulting in increased delay, packet loss, and degradation of service quality. Convention...

    In IEEE 802.11–based wireless LANs, the rapid growth of video
    streaming, AR/VR, and IoT traffic frequently drives the access point
    (AP) buffer into congestion, resulting in increased delay, packet loss, and
    degradation of service quality. Conventional bit-based communication
    transmits all data as raw bit streams, while most existing semantic
    communication schemes employ a fixed bandwidth compression ratio
    (BCR) and do not adapt to AP buffer dynamics, which limits their
    effectiveness under time-varying traffic loads.
    This thesis proposes an Traffic Load–based adaptive-BCR semantic
    communication scheme that jointly considers the semantic importance of
    data and real-time AP buffer state. AP buffer occupancy is continuously
    monitored and classified into traffic-load regions, and a suitable BCR in
    the range of 1/6 to 1/20 is selected for each region, with a hysteresis
    mechanism to prevent frequent parameter switching near the thresholds.
    The proposed scheme is evaluated using an ns-3–based discrete-event
    simulation of an IEEE 802.11 WLAN under low, medium, high, and
    mixed traffic-load scenarios. Performance is assessed in terms of AP
    buffer occupancy, packet loss rate, end-to-end delay, and Effective PSNR
    that accounts for packet drops. The results show that the proposed
    adaptive-BCR semantic communication effectively alleviates AP buffer
    saturation, reduces packet loss and delay, and improves Effective PSNR,
    especially under medium and high traffic loads.

    더보기

    목차 (Table of Contents)

    • Ⅰ. 서론 1
    • 1.1 연구 배경 1
    • 1.2 연구 목적 4
    • 1.3 논문 구성 6
    • Ⅱ. 배경지식 및 관련 연구 7
    • Ⅰ. 서론 1
    • 1.1 연구 배경 1
    • 1.2 연구 목적 4
    • 1.3 논문 구성 6
    • Ⅱ. 배경지식 및 관련 연구 7
    • 2.1 시맨틱 통신 8
    • 2.2 AP 버퍼와 트래픽 부하 12
    • 2.3 Bandwidth Compression Ratio 15
    • 2.4 관련 연구 17
    • Ⅲ. 제안 기법 20
    • 3.1 하이브리드 시맨틱 통신 구조 22
    • 3.2 트래픽 부하 기반 가변 BCR 조절 기법 24
    • 3.3 시나리오 기반 트래픽 부하 기반 Adaptive-BCR 시맨틱 통신 처리 흐름 27
    • Ⅳ. 실험 및 성능 평가 30
    • 4.1 실험 환경 30
    • 4.2 실험 결과 34
    • 4.2.1 평균 지연(Latency) 비교 34
    • 4.2.2 패킷 손실률(Drop Rate) 비교 37
    • 4.2.3 유효 PSNR(Effective PSNR) 비교 39
    • 4.2.4 혼합 트래픽 부하 시나리오 41
    • Ⅴ. 결론 44
    • 참고문헌 46
    • Abstract 52
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