Adaptive RTS/CTS-Exchange and Rate Prediction in IEEE 802.11 WLANs

Wonbae PARK; Taejoon KIM

doi:10.1587/transcom.2017EBP3269

IEICE TRANSACTIONS on Communications

Adaptive RTS/CTS-Exchange and Rate Prediction in IEEE 802.11 WLANs

Wonbae PARK, Taejoon KIM

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Regarding IEEE 802.11 wireless local area networks (WLANs), many researchers are focusing on signal-to-noise ratio (SNR)-based rate adaptation schemes, because these schemes have the advantage of accurately selecting transmission rates that suit the channel. However, even SNR-based rate adaptation schemes work poorly in a rapidly varying channel environment. If a transmitter cannot receive accurate rate information due to fast channel fading, it encounters continuous channel errors, because the cycle of rate adaptation and rate information feedback breaks. A well-designed request-to-send/clear-to-send (RTS/CTS) frame exchange policy that accurately reflects the network situation is an indispensable element for enhancing the performance of SNR-based rate adaptation schemes. In this paper, a novel rate adaptation scheme called adaptive RTS/CTS-exchange and rate prediction (ARRP) is proposed, which adapts the transmission rate efficiently for variable network situations, including rapidly varying channels. ARRP selects a transmission rate by predicting the SNR of the data frame to transmit when the channel condition becomes worse. Accordingly, ARRP prevents continuous channel errors through a pre-emptive transmission rate adjustment. Moreover, ARRP utilizes an efficient RTS/CTS frame exchange algorithm that considers the number of contending stations and the current transmission rate of data frames, which drastically reduces both frame collisions and RTS/CTS-exchange overhead simultaneously. Simulation results show that ARRP achieves better performance than other rate adaptation schemes.

Publication: IEICE TRANSACTIONS on Communications Vol.E101-B No.6 pp.1485-1493

Publication Date: 2018/06/01

Publicized: 2017/11/27

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2017EBP3269

Type of Manuscript: PAPER

Category: Terrestrial Wireless Communication/Broadcasting Technologies

Authors

Wonbae PARK
Chungbuk National University
Taejoon KIM
Chungbuk National University

Keyword

rate adaptation, coherence time, RTS/CTS frame, IEEE 802.11 WLANs

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Wonbae PARK, Taejoon KIM, "Adaptive RTS/CTS-Exchange and Rate Prediction in IEEE 802.11 WLANs" in IEICE TRANSACTIONS on Communications, vol. E101-B, no. 6, pp. 1485-1493, June 2018, doi: 10.1587/transcom.2017EBP3269.
Abstract: Regarding IEEE 802.11 wireless local area networks (WLANs), many researchers are focusing on signal-to-noise ratio (SNR)-based rate adaptation schemes, because these schemes have the advantage of accurately selecting transmission rates that suit the channel. However, even SNR-based rate adaptation schemes work poorly in a rapidly varying channel environment. If a transmitter cannot receive accurate rate information due to fast channel fading, it encounters continuous channel errors, because the cycle of rate adaptation and rate information feedback breaks. A well-designed request-to-send/clear-to-send (RTS/CTS) frame exchange policy that accurately reflects the network situation is an indispensable element for enhancing the performance of SNR-based rate adaptation schemes. In this paper, a novel rate adaptation scheme called adaptive RTS/CTS-exchange and rate prediction (ARRP) is proposed, which adapts the transmission rate efficiently for variable network situations, including rapidly varying channels. ARRP selects a transmission rate by predicting the SNR of the data frame to transmit when the channel condition becomes worse. Accordingly, ARRP prevents continuous channel errors through a pre-emptive transmission rate adjustment. Moreover, ARRP utilizes an efficient RTS/CTS frame exchange algorithm that considers the number of contending stations and the current transmission rate of data frames, which drastically reduces both frame collisions and RTS/CTS-exchange overhead simultaneously. Simulation results show that ARRP achieves better performance than other rate adaptation schemes.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2017EBP3269/_p

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@ARTICLE{e101-b_6_1485,
author={Wonbae PARK, Taejoon KIM, },
journal={IEICE TRANSACTIONS on Communications},
title={Adaptive RTS/CTS-Exchange and Rate Prediction in IEEE 802.11 WLANs},
year={2018},
volume={E101-B},
number={6},
pages={1485-1493},
abstract={Regarding IEEE 802.11 wireless local area networks (WLANs), many researchers are focusing on signal-to-noise ratio (SNR)-based rate adaptation schemes, because these schemes have the advantage of accurately selecting transmission rates that suit the channel. However, even SNR-based rate adaptation schemes work poorly in a rapidly varying channel environment. If a transmitter cannot receive accurate rate information due to fast channel fading, it encounters continuous channel errors, because the cycle of rate adaptation and rate information feedback breaks. A well-designed request-to-send/clear-to-send (RTS/CTS) frame exchange policy that accurately reflects the network situation is an indispensable element for enhancing the performance of SNR-based rate adaptation schemes. In this paper, a novel rate adaptation scheme called adaptive RTS/CTS-exchange and rate prediction (ARRP) is proposed, which adapts the transmission rate efficiently for variable network situations, including rapidly varying channels. ARRP selects a transmission rate by predicting the SNR of the data frame to transmit when the channel condition becomes worse. Accordingly, ARRP prevents continuous channel errors through a pre-emptive transmission rate adjustment. Moreover, ARRP utilizes an efficient RTS/CTS frame exchange algorithm that considers the number of contending stations and the current transmission rate of data frames, which drastically reduces both frame collisions and RTS/CTS-exchange overhead simultaneously. Simulation results show that ARRP achieves better performance than other rate adaptation schemes.},
keywords={},
doi={10.1587/transcom.2017EBP3269},
ISSN={1745-1345},
month={June},}

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TY - JOUR
TI - Adaptive RTS/CTS-Exchange and Rate Prediction in IEEE 802.11 WLANs
T2 - IEICE TRANSACTIONS on Communications
SP - 1485
EP - 1493
AU - Wonbae PARK
AU - Taejoon KIM
PY - 2018
DO - 10.1587/transcom.2017EBP3269
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E101-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2018
AB - Regarding IEEE 802.11 wireless local area networks (WLANs), many researchers are focusing on signal-to-noise ratio (SNR)-based rate adaptation schemes, because these schemes have the advantage of accurately selecting transmission rates that suit the channel. However, even SNR-based rate adaptation schemes work poorly in a rapidly varying channel environment. If a transmitter cannot receive accurate rate information due to fast channel fading, it encounters continuous channel errors, because the cycle of rate adaptation and rate information feedback breaks. A well-designed request-to-send/clear-to-send (RTS/CTS) frame exchange policy that accurately reflects the network situation is an indispensable element for enhancing the performance of SNR-based rate adaptation schemes. In this paper, a novel rate adaptation scheme called adaptive RTS/CTS-exchange and rate prediction (ARRP) is proposed, which adapts the transmission rate efficiently for variable network situations, including rapidly varying channels. ARRP selects a transmission rate by predicting the SNR of the data frame to transmit when the channel condition becomes worse. Accordingly, ARRP prevents continuous channel errors through a pre-emptive transmission rate adjustment. Moreover, ARRP utilizes an efficient RTS/CTS frame exchange algorithm that considers the number of contending stations and the current transmission rate of data frames, which drastically reduces both frame collisions and RTS/CTS-exchange overhead simultaneously. Simulation results show that ARRP achieves better performance than other rate adaptation schemes.
ER -

IEICE TRANSACTIONS on Communications