A Multi-objective Approach to Energy Efficiency in Cellular Networks

In the current generation of cellular networks, energy efficiency is considered as an important issue due to their high-energy consumption. To meet the rising traffic resulting from the growing mobile stations requests and covering the entire transmission area, base stations must be increasingly deployed. However, increasing the number of these stations increases the cost and energy consumption, which leads to conflicting goals. In this paper, we introduce a multi-objective mathematical model on cellular networks that aimed to minimize the expected total cost of base stations and maximize total coverage. This optimization must take into account the traffic demand profile. Given that the studied model corresponds to an NP-hard multi-objective problem, we use a meta-heuristic algorithm to solve it. The simulation results show the effectiveness of our approach to cover the grid while reducing costs and energy consumption.