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

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.

References in corpus (4)

• A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead
• Globally Optimal Energy-Efficient Power Control and Receiver Design in Wireless Networks
• Energy-Efficient Scheduling and Power Allocation in Downlink OFDMA Networks with Base Station Coordination
• Joint Power Control and Time Division to Improve Spectral Efficiency in Dense Wi-Fi Networks