A Semi-Automated User-Centric Decision System for Green Communications Incorporating the Particle Swarm Optimization Algorithm

In the general domain of telecommunications and networking, there is a relatively new area of green communications techniques that has been attracting the attention of many researchers. It is focused on making communications and network systems more friendly to the environment. In this paper, we aim to control the demand side of a wireless communications system and deploy techniques for shaping it to reduce the load on the network and to improve the capacity. This is due to the fact that wireless infrastructure, such as base stations, switching centers already consume about 0.5% of the global electric power that cause the carbon emissions, which translates into a carbon footprint of 34g of CO
₂
for 1 Mbit of transmitted data. We consider a semi-automated decision system that implements a User-in- The-Loop (UIL) approach that has been described in the literature in recent years, where in addition we deploy the particle swarm optimization (PSO) algorithm in conjunction with two types of user traffic classes, namely, the Best Effort users and the Guaranteed Bit Rate users to enhance the efficient utilization of the overall system resources. Simulation results validate that these suggested UIL solutions techniques can improve the user capacity of the overall system when compared with the traditional uncontrolled system. Hence, this will have a positive impact on the interactions of communications systems with the environment, ultimately achieving the end purpose of the green mobile data communications.