Optimizing the Energy Efficiency for Future 5G Networks

One of the challenges for the 5th generation of mobile cellular networks is the energy consumption efficiency. In this paper we propose an optimization algorithm that maximizes the energy efficiency. We apply the proposed optimization algorithm for both indoor-and outdoor users. The energy efficiency optimization is carried under various network conditions such as maximizing the bit rate, minimizing the transmit power and minimizing the interference. We use the dual decomposition technique to find the optimal solution in terms of energy efficiency, under the condition for optimal power allocation. Our results reveal an increase in terms of energy efficiency by applying our algorithm. Furthermore they show a higher energy efficiency achieved under the dynamic power allocation compared to a static power allocation.