The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
본 논문에서는 오디오 및 비디오 스트림이 IEEE 802.11e MAC의 EDCA(Enhanced Distributed Channel Access)를 사용하여 전송되는 경우 애플리케이션 수준 QoS 및 QoE(체감 품질)를 평가합니다. EDCA에서 스테이션은 전송 기회(TXOP) 동안 여러 MAC 프레임을 전송할 수 있습니다. 이를 TXOP 버스팅이라고 합니다. 시뮬레이션을 통해 먼저 애플리케이션 수준 QoS를 TXOP 버스팅 방식과 AP(액세스 포인트)와 스테이션 간의 다양한 거리에 대한 방식이 없는 방식과 비교합니다. 본 논문에서는 거리가 멀수록 비트오류율(BER)이 커진다고 가정한다. 수치 결과에 따르면 TXOP 버스팅은 특히 AP가 다운링크 방향으로 오디오 및 비디오 스트림을 스테이션에 전송할 때 평균 미디어 단위(MU) 지연, MU 손실 비율 및 미디어 동기화 품질과 같은 비디오 품질의 여러 메트릭을 향상시킬 수 있음을 보여줍니다. 그런 다음 TXOP한도 비디오 품질에 대해. 시뮬레이션 결과에 따르면, TXOP한도 너무 작다. 또한 심리 측정 방법인 연속 범주 방법으로 QoE를 평가합니다. 수치 결과는 TXOP 버스팅이 QoE도 향상시킬 수 있음을 보여줍니다. 또한 주요 구성 요소 분석 및 다중 회귀 분석을 통해 애플리케이션 수준과 사용자 수준 간의 QoS 매핑을 수행합니다.
무선 랜, IEEE802.11e, EDCA, 오디오-비디오 전송, QoE
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부
Takahiro SUZUKI, Shuji TASAKA, Atsunori NOGUCHI, "Application-Level QoS and QoE Assessment of Audio-Video Transmission with TXOP-Bursting by IEEE 802.11e EDCA" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 8, pp. 2600-2609, August 2009, doi: 10.1587/transcom.E92.B.2600.
Abstract: This paper assesses application-level QoS and Quality of Experience (QoE) in the case where audio and video streams are transferred with the enhanced distributed channel access (EDCA) of the IEEE 802.11e MAC. In EDCA, a station can transmit multiple MAC frames during a transmission opportunity (TXOP); this is referred to as TXOP-bursting. By simulation, we first compare application-level QoS with the TXOP-bursting scheme and that without the scheme for various distances between access point (AP) and stations. In this paper, we suppose that the bit error rate (BER) becomes larger as the distance increases. Numerical results show that TXOP-bursting can improve many metrics of video quality such as average media unit (MU) delay, MU loss ratio, and media synchronization quality, particularly when the AP sends audio and video streams to stations in the downlink direction. We then examine the effect of TXOPLimit on the video quality. Simulation results show that the video quality can be degraded if the value of TXOPLimit is too small. Furthermore, we assess QoE by the method of successive categories, which is a psychometric method. Numerical results show that TXOP-bursting can also improve the QoE. We also perform QoS mapping between application-level and user-level with principal component analysis and multiple regression analysis.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2600/_p
부
@ARTICLE{e92-b_8_2600,
author={Takahiro SUZUKI, Shuji TASAKA, Atsunori NOGUCHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Application-Level QoS and QoE Assessment of Audio-Video Transmission with TXOP-Bursting by IEEE 802.11e EDCA},
year={2009},
volume={E92-B},
number={8},
pages={2600-2609},
abstract={This paper assesses application-level QoS and Quality of Experience (QoE) in the case where audio and video streams are transferred with the enhanced distributed channel access (EDCA) of the IEEE 802.11e MAC. In EDCA, a station can transmit multiple MAC frames during a transmission opportunity (TXOP); this is referred to as TXOP-bursting. By simulation, we first compare application-level QoS with the TXOP-bursting scheme and that without the scheme for various distances between access point (AP) and stations. In this paper, we suppose that the bit error rate (BER) becomes larger as the distance increases. Numerical results show that TXOP-bursting can improve many metrics of video quality such as average media unit (MU) delay, MU loss ratio, and media synchronization quality, particularly when the AP sends audio and video streams to stations in the downlink direction. We then examine the effect of TXOPLimit on the video quality. Simulation results show that the video quality can be degraded if the value of TXOPLimit is too small. Furthermore, we assess QoE by the method of successive categories, which is a psychometric method. Numerical results show that TXOP-bursting can also improve the QoE. We also perform QoS mapping between application-level and user-level with principal component analysis and multiple regression analysis.},
keywords={},
doi={10.1587/transcom.E92.B.2600},
ISSN={1745-1345},
month={August},}
부
TY - JOUR
TI - Application-Level QoS and QoE Assessment of Audio-Video Transmission with TXOP-Bursting by IEEE 802.11e EDCA
T2 - IEICE TRANSACTIONS on Communications
SP - 2600
EP - 2609
AU - Takahiro SUZUKI
AU - Shuji TASAKA
AU - Atsunori NOGUCHI
PY - 2009
DO - 10.1587/transcom.E92.B.2600
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2009
AB - This paper assesses application-level QoS and Quality of Experience (QoE) in the case where audio and video streams are transferred with the enhanced distributed channel access (EDCA) of the IEEE 802.11e MAC. In EDCA, a station can transmit multiple MAC frames during a transmission opportunity (TXOP); this is referred to as TXOP-bursting. By simulation, we first compare application-level QoS with the TXOP-bursting scheme and that without the scheme for various distances between access point (AP) and stations. In this paper, we suppose that the bit error rate (BER) becomes larger as the distance increases. Numerical results show that TXOP-bursting can improve many metrics of video quality such as average media unit (MU) delay, MU loss ratio, and media synchronization quality, particularly when the AP sends audio and video streams to stations in the downlink direction. We then examine the effect of TXOPLimit on the video quality. Simulation results show that the video quality can be degraded if the value of TXOPLimit is too small. Furthermore, we assess QoE by the method of successive categories, which is a psychometric method. Numerical results show that TXOP-bursting can also improve the QoE. We also perform QoS mapping between application-level and user-level with principal component analysis and multiple regression analysis.
ER -