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International Conference on Ubiquitous Information Management and Communication

IMCOM 2019: Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019 pp 42–53Cite as

Frame Aggregation Control for High Throughput and Fairness in Densely Deployed WLANs

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 935))

Abstract

To achieve high throughput and fairness between multiple wireless LANs (WLANs), we propose two novel control methods using frame aggregation of IEE802.11n/ac. WLANs which are densely deployed are suffered from radio interfere with each other. The proposed method controls Frame Aggregation size and/or Contention Window size. They are determined in each WLAN according to the interference intensity of each WLAN in order to maximize capture effect or to minimize error rate. Performance evaluation results showed that the proposed methods have 66% improved throughput than conventional method with keeping very high fairness.

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References

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Acknowledgments

This research is supported by Grant-in-Aid for Scientific Research (15H02688) (15H01684) (16H02817).

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Authors and Affiliations

  1. Nagoya University, Nagoya, Aichi, Japan

    Toshitaka Yagi & Tutomu Murase

Authors
  1. Toshitaka Yagi
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  2. Tutomu Murase
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Corresponding authors

Correspondence to Toshitaka Yagi or Tutomu Murase .

Editor information

Editors and Affiliations

  1. Intelligent Systems Research Institute, Sungkyunkwan University, Suwon, Korea (Republic of)

    Sukhan Lee

  2. Software Engineering, Universiti Kuala Lumpur, Kuala Lumpur, Malaysia

    Roslan Ismail

  3. College of Software, Sungkyunkwan University, Suwon, Korea (Republic of)

    Hyunseung Choo

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Yagi, T., Murase, T. (2019). Frame Aggregation Control for High Throughput and Fairness in Densely Deployed WLANs. In: Lee, S., Ismail, R., Choo, H. (eds) Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication (IMCOM) 2019. IMCOM 2019. Advances in Intelligent Systems and Computing, vol 935. Springer, Cham. https://doi.org/10.1007/978-3-030-19063-7_4

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