# Cloud-based Management of Energy-Efficient Dense IEEE 802.11ax Networks

## TL;DR

This paper proposes a cloud-based management algorithm for dense Wi-Fi networks that maximizes energy efficiency and fairness, validated through simulation and comparison with existing solutions.

## Contribution

It introduces a novel optimization algorithm for centralized Wi-Fi management that enhances energy efficiency and fairness in dense network scenarios.

## Key findings

- The proposed algorithm improves energy efficiency compared to legacy systems.
- Simulation results show better fairness among clients.
- The branch and bound approach effectively solves the optimization problem.

## Abstract

During the last decade, the number of devices connected to the Internet by Wi-Fi has grown significantly. A high density of both the client devices and the hot spots posed new challenges related to providing the desired quality of service in the current and emerging scenarios. To cope with the negative effects caused by network densification, modern Wi-Fi is becoming more and more centralized. To improve network efficiency, today many new Wi-Fi deployments are under control of management systems that optimize network parameters in a centralized manner. In the paper, for such a cloud management system, we develop an algorithm which aims at maximizing energy efficiency and also keeps fairness among clients. For that, we design an objective function and solve an optimization problem using the branch and bound approach. To evaluate the efficiency of the developed solution, we implement it in the NS-3 simulator and compare with existing solutions and legacy behavior.