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Energy-Efficient Resource Allocation Based on Hybrid Particle Swarm Optimization in Power Telecommunication Networks

The Orthogonal Frequency Division Multiplexing (OFDM) will be widely used in 5G network. However, the energy consumption has become one of main challenges in the wireless network. In this paper, we investigate the energy efficiency (EE) optimization problem in the OFDM-based cellular network. The energy efficiency performance in cellular networks is strongly affected by channel and power allocations. Then we construct an objective function to attain maximum energy efficiency with the QoS requirements of users. Then the Hybrid particle swarm optimization algorithm has been utilized to address it by obtaining the optimal channel and power allocations. We also make a numerical simulation to verify the algorithm proposed in this paper. A comparison with the Max-Min energy efficiency algorithm is also carried. The simulation results show that EE performance of our algorithm can reach convergence and is better than the Max-Min EE algorithm.