Weston Mwashita

As more and more Base Stations (BSs) are being deployed by mobile operators to meet the ever increasing data traffic, solutions have to be found to try and reduce BS energy consumption to make the BSs more energy efficient and to reduce the mobile networks' operational expenditure (OPEX) and carbon dioxide emissions. In this paper, a BS sleeping technology deployable in heterogeneous networks (HetNets) is proposed. The proposed scheme is validated by using extensive OMNeT++/SimuLTE simulations. From the simulations, it is shown that some lightly loaded micro BSs can be put to sleep in a HetNet when the network traffic is very low without compromising the QoS of the mobile network.

—In this paper, an algorithm used to switch OFF micro Base Stations (BSs) when the prevailing traffic is low and switch them back ON when traffic increases, is proposed, analysed and extensive simulations carried out for its validation. With the exponential growth of cellular traffic, both industry and academia agree that energy consumption in next generation mobile networks should be proportional to the prevailing traffic variation in the network. This should be done to save on operational expenditure (OPEX) as well as lowering í µí±ªí µí± ¶ í µí¿ emissions. What has however become a challenging research issue is how some BSs can be put to sleep without affecting Quality of Service (QoS). In this paper, end-to-end delay, queue length and other performance metrics are used to evaluate a proposed BS sleeping scheme to show that the scheme does not compromise QoS of the network. Results obtained showed that total network energy consumption can be reduced without affecting the QoS of a network.

There has been an astronomical increase in data traffic demand as people want to get connected whilst they are on the move and as new devices like smart phones and tablets become affordable gadgets. Mobile network providers have responded to this growth by expanding their networks and naturally this has seen a rapid increase in Base Stations (BSs) all over the world. This trend has led to the telecommunications sector contributing a sizable percentage of emissions to the atmosphere. Designing Base stations that consume energy corresponding to network traffic will go a long way in reducing emissions .In this paper, an algorithm that can be used to switch ON/OFF BSs with the traffic variation is designed and analysed.

There has been an astronomical increase in data traffic demand as people want to get connected whilst they are on the move and as new devices like smart phones and tablets become affordable gadgets. Mobile network providers have responded to this growth by expanding their networks and naturally this has seen a rapid increase in Base Stations (BSs) all over the world. This trend has led to the telecommunications sector contributing a sizable percentage of carbon dioxide emissions to the atmosphere. Designing Base stations that consume energy corresponding to network traffic will go a long way in reducing carbon dioxide emissions .In this paper, an algorithm that can be used to switch ON/OFF BSs with the traffic variation is designed and analysed