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
우리는 IEEE 802.11 무선 근거리 통신망(WLAN)에 대한 분석 모델을 제안합니다. 분석 모델은 DCF(분산 조정 함수)의 거시적 설명을 사용합니다. 백오프 프로세스는 몇 가지 거시적 상태(중간 유휴, 전송 및 중간 사용량)로 설명되므로 특정 백오프 카운터/백오프를 추적할 필요가 없습니다. 단계. 또한 상태 지속 시간이 기하급수적으로 분포된다는 가정 하에 거시적 상태 간의 전환이 연속 시간 마르코프 체인으로 특성화될 수 있다고 가정합니다. DCF에 대한 이러한 거시적 설명을 통해 DCF 성능 분석 및 대기열 프로세스를 단순화하기 위해 XNUMX차원 연속 시간 마르코프 체인을 활용할 수 있습니다. 시뮬레이션 결과와 비교하여 제안된 모델이 트래픽이 적거나 많거나 비대칭인 상황에서 처리량 성능과 평균 대기열 길이를 정확하게 추정한다는 것을 보여줍니다.
Xiang LI
Chiba University
Yuki NARITA
Chiba University
Yuta GOTOH
Chiba University
Shigeo SHIODA
Chiba University
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
부
Xiang LI, Yuki NARITA, Yuta GOTOH, Shigeo SHIODA, "Performance Analysis of IEEE 802.11 DCF Based on a Macroscopic State Description" in IEICE TRANSACTIONS on Communications,
vol. E101-B, no. 8, pp. 1923-1932, August 2018, doi: 10.1587/transcom.2017EBP3277.
Abstract: We propose an analytical model for IEEE 802.11 wireless local area networks (WLANs). The analytical model uses macroscopic descriptions of the distributed coordination function (DCF): the backoff process is described by a few macroscopic states (medium-idle, transmission, and medium-busy), which obviates the need to track the specific backoff counter/backoff stages. We further assume that the transitions between the macroscopic states can be characterized as a continuous-time Markov chain under the assumption that state persistent times are exponentially distributed. This macroscopic description of DCF allows us to utilize a two-dimensional continuous-time Markov chain for simplifying DCF performance analysis and queueing processes. By comparison with simulation results, we show that the proposed model accurately estimates the throughput performance and average queue length under light, heavy, or asymmetric traffic.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3277/_p
부
@ARTICLE{e101-b_8_1923,
author={Xiang LI, Yuki NARITA, Yuta GOTOH, Shigeo SHIODA, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Analysis of IEEE 802.11 DCF Based on a Macroscopic State Description},
year={2018},
volume={E101-B},
number={8},
pages={1923-1932},
abstract={We propose an analytical model for IEEE 802.11 wireless local area networks (WLANs). The analytical model uses macroscopic descriptions of the distributed coordination function (DCF): the backoff process is described by a few macroscopic states (medium-idle, transmission, and medium-busy), which obviates the need to track the specific backoff counter/backoff stages. We further assume that the transitions between the macroscopic states can be characterized as a continuous-time Markov chain under the assumption that state persistent times are exponentially distributed. This macroscopic description of DCF allows us to utilize a two-dimensional continuous-time Markov chain for simplifying DCF performance analysis and queueing processes. By comparison with simulation results, we show that the proposed model accurately estimates the throughput performance and average queue length under light, heavy, or asymmetric traffic.},
keywords={},
doi={10.1587/transcom.2017EBP3277},
ISSN={1745-1345},
month={August},}
부
TY - JOUR
TI - Performance Analysis of IEEE 802.11 DCF Based on a Macroscopic State Description
T2 - IEICE TRANSACTIONS on Communications
SP - 1923
EP - 1932
AU - Xiang LI
AU - Yuki NARITA
AU - Yuta GOTOH
AU - Shigeo SHIODA
PY - 2018
DO - 10.1587/transcom.2017EBP3277
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2018
AB - We propose an analytical model for IEEE 802.11 wireless local area networks (WLANs). The analytical model uses macroscopic descriptions of the distributed coordination function (DCF): the backoff process is described by a few macroscopic states (medium-idle, transmission, and medium-busy), which obviates the need to track the specific backoff counter/backoff stages. We further assume that the transitions between the macroscopic states can be characterized as a continuous-time Markov chain under the assumption that state persistent times are exponentially distributed. This macroscopic description of DCF allows us to utilize a two-dimensional continuous-time Markov chain for simplifying DCF performance analysis and queueing processes. By comparison with simulation results, we show that the proposed model accurately estimates the throughput performance and average queue length under light, heavy, or asymmetric traffic.
ER -