Investigating the Potential of Wi-Fi-6 (802.11ax) for URLCC

Authors

  • Tharunika Sridar Microsoft, WA 98052 USA.  Author

DOI:

https://doi.org/10.47363/4scdaq95

Keywords:

TSN Wireless, Wifi 6, Low Latency, High-Speed Reliability Wireless, 5G-Wif

Abstract

URLLC, Ultra-Reliable and Low-Latency Communications, is the most customer-beneficial 5G feature. These technologies will be used in urgent
communication, such as mobility coordination and remote robot control. Many networking protocols now use time synchronization to improve
communication efficiency, adaptability, and dependability. Automation systems, real-time healthcare, autonomous driving, and networked arts-based professional film use physical networks. Applications are one of the most amazing and unimaginable capabilities of high-reliable communication. IEEE 802. TSN technology and standards provide strong, reliable, real-time, deterministic communications with low latency and no bottlenecks. IEEE 802. The best and most adaptable Wi-Fi is 11ax. IEEE 802. The 11ax focuses on smooth wireless provision for regular devices, unlike Wi-Fi, which handles data transfer rates. The research focuses on and defends URLLC and Wi-Fi 6 parts where IEEE 802. 11ax can be most effectively incorporated. Then, the communication channel's effectiveness and relevance for future hardware use are assessed (IEEE 802). Wi-Fi 6 and 802. 11ac, its predecessor, complete the next dimension. This aim shows the growing importance of communication-based technologies in the information system. We try to make the system `more helpful, effective, and fast. This research aims to determine if modern models' emergent technologies fill a big and stable gap. The report clearly
reveals that funds were wisely spent and capital was used efficiently, demonstrating the wisdom of these measures.

Author Biography

  • Tharunika Sridar, Microsoft, WA 98052 USA. 

    Tharunika Sridar, Microsoft, WA 98052 USA. 

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Published

2023-07-17

How to Cite

Investigating the Potential of Wi-Fi-6 (802.11ax) for URLCC. (2023). Journal of Artificial Intelligence & Cloud Computing, 2(3), 1-4. https://doi.org/10.47363/4scdaq95

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