Queueing decision model for throughput maximization in green communications networks

Abstract

The various advancement in cellular technology has drawn huge attention to green communication by the stakeholders. Base station (BS) sleeping technique has been proposed as a way to reduce energy consumption in cellular networks, however, this may result in service delay for cellular users. In this article, we propose a queueing decision model for BS sleeping technique that maximizes energy-efficient utilization of the BSs in a green communication network while reducing the mean service waiting time for cellular users. The proposed model also ensures an optimal and interference-free resource sharing scheme that effectively enables channel borrowing through BS association in the network, thereby reducing call drop rate and further improving quality of service in the network. Numerical simulations are performed to observe the impact of the proposed model on spectrum access and consequently on the throughput of the green communication network. The article also observed the possible improvement in network delay with the proposed model. Results show that the queueing decision model is more energy-efficient. The model also provides a more spectrum-efficient sharing scheme compared to existing models, thereby enabling better network throughput.