OVERVIEW OF Wi-Fi 8 TECHNOLOGY: NEW OPPORTUNITIES AND OPEN CHALLENGES

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Abstract

The Wi-Fi 8 IEEE 802.11bn standard, currently under development, represents the next stage in the evolution of wireless technologies. Unlike previous generations, which focused primarily on increasing peak throughput, the main goal of Wi-Fi 8 is to provide ultra-reliable connectivity and predictable wireless network performance. This is driven by the requirements of new use cases, such as the industrial internet, support for augmented and virtual reality applications, artificial intelligence, and the deployment of dense public networks. Key performance indicators include increased throughput in low signal-to-noise ratio conditions, reduced 95th percentile latency, reduced packet loss, and optimized power consumption. To achieve these goals, new methods are being introduced into the standard, including subcarrier-distributed resource blocks, the use of different modulation and coding structures in different spatial streams, improved channel access methods, seamless roaming, and coordinated management of multiple access points. The article presents the current status of the Wi-Fi 8 standard development, analyzes its performance targets, and discusses relevant technical solutions. It also formulates promising areas of research that require the development of new algorithms and methods for optimizing the use of radio resources to fully realize the potential of the technology. The article will be useful for researchers engaged in mathematical modeling and solving optimization problems in the field of wireless networks. The new Wi-Fi 8 mechanisms described create fundamentally new optimization problems and require the development of appropriate algorithms for radio resource management, transmission planning, and device coordination. The materials in the article will help formulate new optimization models and define objective functions for creating effective algorithms that take into account the specifics of the new standard.

About the authors

A. Yu Karamyshev

Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences; Moscow Independent Research Institute of Artificial Intelligence

Email: karamyshev@wnlab.ru
Moscow, Russia; Moscow, Russia

I. A Levitsky

Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences; Moscow Independent Research Institute of Artificial Intelligence

Email: levitsky@wnlab.ru
Moscow, Russia; Moscow, Russia

D. V Bankov

Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences; Moscow Independent Research Institute of Artificial Intelligence

Email: bankov@wnlab.ru
Moscow, Russia; Moscow, Russia

E. M Khorov

Kharkevich Institute for Information Transmission Problems of the Russian Academy of Sciences; Moscow Independent Research Institute of Artificial Intelligence

Email: khorov@wnlab.ru
Moscow, Russia; Moscow, Russia

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