AP selection algorithm with adaptive CCAT for dense wireless networks

Yena Kim, Mun Suk Kim, Sukyoung Lee, David Griffith, Nada Golmie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Wireless Local Area Networks (WLANs)-enabled devices are now everywhere and their rapid spread has created dense deployment environments. For such dense WLANs, the High Efficiency WLAN Study Group (HEW SG) was formed, and as an extension of their activity, effort on standardization of IEEE 802.11ax Task Group (TG) was initiated. The goal of the TG on IEEE 802.11ax is to improve per-station (STA) throughput of WLAN dense networks in the presence of interfering sources. To attain this aim, the TG is currently working on Clear Channel Assessment Threshold (CCAT) adjustment. As the CCAT is increased, more concurrent transmissions are permitted, leading to more interference. By using a small CCAT, the amount of interference can be reduced, but the transmission opportunity decays. Thus, we propose an algorithm that adjusts CCAT based on the co- channel interference and transmission opportunity for network capacity improvement in dense WLANs. In addition, traffic load may not be fairly shared by all serving APs due to the typical Received Signal Strength (RSS)-based AP selection algorithm. In this paper, therefore, we propose an Access Point (AP) selection algorithm that chooses both AP and CCAT providing the highest achievable throughput for a STA by considering the co-channel interference and the traffic load status in dense WLANs. Simulation results show that our proposed algorithm achieves better performance in terms of the average per-STA throughput and Jain's Fairness Index (JFI) in dense wireless networks with various scenarios.

Original languageEnglish
Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509041831
DOIs
Publication statusPublished - 2017 May 10
Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
Duration: 2017 Mar 192017 Mar 22

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Other

Other2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
CountryUnited States
CitySan Francisco
Period17/3/1917/3/22

Fingerprint

Wireless local area networks (WLAN)
Wireless networks
Throughput
Standardization

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Kim, Y., Kim, M. S., Lee, S., Griffith, D., & Golmie, N. (2017). AP selection algorithm with adaptive CCAT for dense wireless networks. In 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings [7925822] (IEEE Wireless Communications and Networking Conference, WCNC). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WCNC.2017.7925822
Kim, Yena ; Kim, Mun Suk ; Lee, Sukyoung ; Griffith, David ; Golmie, Nada. / AP selection algorithm with adaptive CCAT for dense wireless networks. 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. (IEEE Wireless Communications and Networking Conference, WCNC).
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Kim, Y, Kim, MS, Lee, S, Griffith, D & Golmie, N 2017, AP selection algorithm with adaptive CCAT for dense wireless networks. in 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings., 7925822, IEEE Wireless Communications and Networking Conference, WCNC, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017, San Francisco, United States, 17/3/19. https://doi.org/10.1109/WCNC.2017.7925822

AP selection algorithm with adaptive CCAT for dense wireless networks. / Kim, Yena; Kim, Mun Suk; Lee, Sukyoung; Griffith, David; Golmie, Nada.

2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 7925822 (IEEE Wireless Communications and Networking Conference, WCNC).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - Wireless Local Area Networks (WLANs)-enabled devices are now everywhere and their rapid spread has created dense deployment environments. For such dense WLANs, the High Efficiency WLAN Study Group (HEW SG) was formed, and as an extension of their activity, effort on standardization of IEEE 802.11ax Task Group (TG) was initiated. The goal of the TG on IEEE 802.11ax is to improve per-station (STA) throughput of WLAN dense networks in the presence of interfering sources. To attain this aim, the TG is currently working on Clear Channel Assessment Threshold (CCAT) adjustment. As the CCAT is increased, more concurrent transmissions are permitted, leading to more interference. By using a small CCAT, the amount of interference can be reduced, but the transmission opportunity decays. Thus, we propose an algorithm that adjusts CCAT based on the co- channel interference and transmission opportunity for network capacity improvement in dense WLANs. In addition, traffic load may not be fairly shared by all serving APs due to the typical Received Signal Strength (RSS)-based AP selection algorithm. In this paper, therefore, we propose an Access Point (AP) selection algorithm that chooses both AP and CCAT providing the highest achievable throughput for a STA by considering the co-channel interference and the traffic load status in dense WLANs. Simulation results show that our proposed algorithm achieves better performance in terms of the average per-STA throughput and Jain's Fairness Index (JFI) in dense wireless networks with various scenarios.

AB - Wireless Local Area Networks (WLANs)-enabled devices are now everywhere and their rapid spread has created dense deployment environments. For such dense WLANs, the High Efficiency WLAN Study Group (HEW SG) was formed, and as an extension of their activity, effort on standardization of IEEE 802.11ax Task Group (TG) was initiated. The goal of the TG on IEEE 802.11ax is to improve per-station (STA) throughput of WLAN dense networks in the presence of interfering sources. To attain this aim, the TG is currently working on Clear Channel Assessment Threshold (CCAT) adjustment. As the CCAT is increased, more concurrent transmissions are permitted, leading to more interference. By using a small CCAT, the amount of interference can be reduced, but the transmission opportunity decays. Thus, we propose an algorithm that adjusts CCAT based on the co- channel interference and transmission opportunity for network capacity improvement in dense WLANs. In addition, traffic load may not be fairly shared by all serving APs due to the typical Received Signal Strength (RSS)-based AP selection algorithm. In this paper, therefore, we propose an Access Point (AP) selection algorithm that chooses both AP and CCAT providing the highest achievable throughput for a STA by considering the co-channel interference and the traffic load status in dense WLANs. Simulation results show that our proposed algorithm achieves better performance in terms of the average per-STA throughput and Jain's Fairness Index (JFI) in dense wireless networks with various scenarios.

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U2 - 10.1109/WCNC.2017.7925822

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M3 - Conference contribution

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BT - 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Kim Y, Kim MS, Lee S, Griffith D, Golmie N. AP selection algorithm with adaptive CCAT for dense wireless networks. In 2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. 7925822. (IEEE Wireless Communications and Networking Conference, WCNC). https://doi.org/10.1109/WCNC.2017.7925822