Location Aided Energy Balancing Strategy in Green Cellular Networks

TL;DR

This paper introduces a location-based energy balancing strategy for cellular networks, enabling mobile nodes to select relay stations with the highest potential energy, thereby improving throughput and relay station longevity.

Contribution

It proposes a novel dynamic relay station selection method based on potential energy prediction, enhancing energy efficiency and network performance.

Findings

Significantly increased aggregate throughput

Extended relay station lifetime

Effective energy load balancing

Abstract

Most cellular network communication strategies are focused on data traffic scenarios rather than energy balance and efficient utilization. Thus mobile users in hot cells may suffer from low throughput due to energy loading imbalance problem. In state of art cellular network technologies, relay stations extend cell coverage and enhance signal strength for mobile users. However, busy traffic makes the relay stations in hot area run out of energy quickly. In this paper, we propose an energy balancing strategy in which the mobile nodes are able to dynamically select and hand over to the relay station with the highest potential energy capacity to resume communication. Key to the strategy is that each relay station merely maintains two parameters that contains the trend of its previous energy consumption and then predicts its future quantity of energy, which is defined as the relay station potential energy capacity. Then each mobile node can select the relay station with the highest potential energy capacity. Simulations demonstrate that our approach significantly increase the aggregate throughput and the average life time of relay stations in cellular network environment.