ML-Optimized Beam-based Radio Coverage Processing in IEEE 802.11 WLAN Networks

Dynamic Radio Resource Management (RRM) is a major building block of Wireless LAN Controllers (WLC) function in WLAN networks. In a dense and frequently changing WLANs, it maximizes Wireless Devices (WD) opportunity to transmit and guarantees conformance to the design Service Level Agreement (SLA).

To achieve this performance, a WLC processes and applies a network-wide optimized radio plan based on data from access points (AP) and upper-layer application services.

A NURBS Based Technique for an Optimized Transmit Opportunity Map Processing in WLAN Networks

Dynamic Radio Resource Management helps overcome interferences in dense WLAN deployments. By processing data from upper-layers services, it could optimize and enrich end-to-end wireless client experience. This experience may be tight to a transmit opportunity function that hints on the radio interface condition, and effectiveness of the transmission itself from different points of view: application, service and underlying network infrastructure.

Transmit opportunity calculations that are done at WLAN central intelligence level are resource consuming due to processing of huge amount of raw data from lower and upper system layers.

An ML-optimized dRRM Solution for IEEE 802.11 Enterprise Wlan Networks

In an enterprise Wifi network, indoor and dense, co-channel interference is a major issue. Wifi controllers help tackle this problem thanks to radio resource management (RRM). RRM is a fundamental building block of any controller functional architecture.

One aim of RRM is to process the radio plan such as to maximize the overall network transmit opportunity.

A novel beamforming based model of coverage and transmission costing in IEEE 802.11 WLAN networks

IEEE 802.11 WLAN indoor networks face major inherent and
environmental issues such as interference, noise, and obstacles. At the
same time, they must provide a maximal service performance in highly
changing radio environments and conformance to various applications’
requirements. For this purpose, they require a solid design approach
that considers both inputs from the radio interface and the upper-layer
services at every design step.