Vol 61, No 3 (2025)

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 95^th 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.

We consider a scenario of data transmission in the uplink channel in a 5G Vehicle-to-Everything (V2X) network with remote vehicle control. The key features of this type of traffic are the variable size of generated packets and strict restrictions on packet delivery time. To serve the traffic of different users, the base station uses a hybrid radio resource allocation scheme: each user is assigned both a dedicated subchannel and a shared subchannel, which is used when there are insufficient resources in the dedicated channel to transmit a packet. We construct an analytical model of data transmission in the uplink channel using this scheme, which allows us to estimate the probability of packet loss for each user at given scheme parameters. We show how to use the analytical model to select the optimal parameters of the hybrid scheme that maximize network capacity.

An approach to the geometric pattern recognition problem based on introducing a coordinate system modeling binocular vision, allows us to introduce the concept of a flat observable curve, describe the set of observable curves in the form of a criterion, prove the precompactness of this set with respect to the Hausdorff metric, and thus establish the existence of a finite epsilon-net in this set.