Abstract

It is difficult for wireless local area networks (WLANs), IEEE 802.11ax high-efficiency WLAN (HEW), to join next-generation innovations such as 5th generation (5G) and Internet of Things (IoT) because they still have their conventional channel access mechanism as their essential medium access control (MAC) protocol. The MAC protocol uses a traditional binary exponential backoff (BEB) algorithm to access channel resources that depend on the noncognitive increment of contention parameters for collision avoidance. In BEB, the collision issue increases with the increase in connected devices in the network due to a fixed contention window size. The larger the size of the network, the larger the collision in the network. To avoid such a circumstance, in this paper, we propose a sliding group window (sGW) mechanism dependent on collision-point assessment in order to improve the performance of MAC protocol for HEW. The proposed algorithm additionally presents a rebacking off for collision avoidance (ReBOCA) system for sGW, which combines the uniform dispersion of the contention parameters. This variation of an ordinary backoff algorithm permits the reasonable sliding of the user groups in the case of collision. The algorithm explicitly accounts for the peculiarities of dense environments and backward compatibility. Key aspects of the proposed solution include collision-point estimation, rebacking off for collision distribution convergence for fair treatment, and adaptive sliding of group windows to mitigate contention unfairness. We further formulated a closed-form Markov chain model for the performance analysis of our proposed sGW with ReBOCA scheme. Theoretical and practical results prove that our proposed scheme achieved maximal efficiency, even under dense environments. An increase in throughput with a lower packet collision probability was achieved with the proposed mechanism, and the efficiency increased as the number of contending stations increased than compared to traditional BEB performance. Our proposed ReBOCA mechanism enhanced network throughput by 38.18% than compared to the conventional BEB mechanism.

Highlights

  • Wireless local area networks (WLAN), standard name IEEE 802.11, require cuttingedge wireless advancements such as fifth-generation (5G) and beyond (B5G) networks

  • Powerful error correction based on polar codes in 5th generation (5G) new radio (5G NR) [3] and low-density parity check (LDPC) codes [4] may help in enhancing promising PHY layer transmission solutions

  • The WLAN medium access control (MAC) layer is fundamentally based on the amplification of the channel resources by using a carrier sense multiple access with collision avoidance (CSMA/CA) mechanism for STAs to channel access [6] in order to achieve the best wireless medium used through reasonable fair access in the WLANs, with the reliably growing density of STAs

Read more

Summary

Introduction

Wireless local area networks (WLAN), standard name IEEE 802.11, require cuttingedge wireless advancements such as fifth-generation (5G) and beyond (B5G) networks. To help in the enormous URLLC requirements, the IEEE 802.11ax high-efficiency WLAN (HEW) is promising advancing 5G/B5G radio access networks (RANs) to the unlicensed band [2]. A HEW station (STA) faces massive collisions to reach unlicensed wireless networks, especially for a high number of associated STAs. The WLAN medium access control (MAC) layer is fundamentally based on the amplification of the channel resources by using a carrier sense multiple access with collision avoidance (CSMA/CA) mechanism for STAs to channel access [6] in order to achieve the best wireless medium used through reasonable fair access in the WLANs, with the reliably growing density of STAs. The currently used CSMA/CA mechanism plays a crucial part for the upcoming 5G/B5G [7]. When a STA effectively communicates its information packet, the current CW size, which is CWi, is reset to the initial CWmin

Problem Statement
Motivation for the Proposed Solution
Related Research Work
Rebacking-off-Based Collision-Avoidance Algorithm
4: Repeat
Steady-State Probabilities of sGW-DTMC for ReBOCA
Throughput Analysis
Model Validation
GHz 20 MHz 1024 Bytes 16 Bytes 32 32 16 μs 60 μs 1 μs 54 Mbps 1024 9 μs 6
Findings
Conclusions and Future Work
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.