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A Self-Scrutinized Backoff Mechanism for IEEE 802.11ax in 5G Unlicensed Networks

Author

Listed:
  • Rashid Ali

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

  • Nurullah Shahin

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

  • Rojeena Bajracharya

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

  • Byung-Seo Kim

    (Department of Computer and Information Communication Engineering, Hongik University, Seoul 04066, Korea)

  • Sung Won Kim

    (Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea)

Abstract

The IEEE 802.11ax high-efficiency wireless local area network (HEW) is promising as a foundation for evolving the fifth-generation (5G) radio access network on unlicensed bands (5G-U). 5G-U is a continued effort toward rich ubiquitous communication infrastructures, promising faster and reliable services for the end user. HEW is likely to provide four times higher network efficiency even in highly dense network deployments. However, the current wireless local area network (WLAN) itself faces huge challenge of efficient radio access due to its contention-based nature. WLAN uses a carrier sense multiple access with collision avoidance (CSMA/CA) procedure in medium access control (MAC) protocols, which is based on a binary exponential backoff (BEB) mechanism. Blind increase and decrease of the contention window in BEB limits the performance of WLAN to a limited number of contenders, thus affecting end-user quality of experience. In this paper, we identify future use cases of HEW proposed for 5G-U networks. We use a self-scrutinized channel observation-based scaled backoff (COSB) mechanism to handle the high-density contention challenges. Furthermore, a recursive discrete-time Markov chain model (R-DTMC) is formulated to analyze the performance efficiency of the proposed solution. The analytical and simulation results show that the proposed mechanism can improve user experience in 5G-U networks.

Suggested Citation

  • Rashid Ali & Nurullah Shahin & Rojeena Bajracharya & Byung-Seo Kim & Sung Won Kim, 2018. "A Self-Scrutinized Backoff Mechanism for IEEE 802.11ax in 5G Unlicensed Networks," Sustainability, MDPI, vol. 10(4), pages 1-15, April.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1201-:d:141313
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    Citations

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    Cited by:

    1. Yousaf Bin Zikria & Sung Won Kim & Muhammad Khalil Afzal & Haoxiang Wang & Mubashir Husain Rehmani, 2018. "5G Mobile Services and Scenarios: Challenges and Solutions," Sustainability, MDPI, vol. 10(10), pages 1-9, October.
    2. Alaa Omran Almagrabi & Rashid Ali & Yasser Difulah Al-Otaibi & Hadi Mohsen Oqaibi & Tahir Khurshaid, 2021. "Sliding Group Window with Rebacking off for Collision Avoidance in High-Efficiency Wireless Networks," Mathematics, MDPI, vol. 9(19), pages 1-15, October.
    3. Waqas Khalid & Heejung Yu, 2018. "Sum Utilization of Spectrum with Spectrum Handoff and Imperfect Sensing in Interweave Multi-Channel Cognitive Radio Networks," Sustainability, MDPI, vol. 10(6), pages 1-18, May.

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