Resource Allocation Algorithm for Full-duplex Heterogeneous Wireless Network with Energy Efficiency Priority

Aiming at the energy efficiency optimization problem of the proposed communication networks, a reasonable and effective resource allocation method was proposed to maximize the energy efficiency of femtocell while meeting the transmitting power threshold and the quality of service requirements. The energy efficiency of the honeycomb. In order to solve this non-convex fractional programming problem, Dinkelbach method was used to transform the original fraction problem, then Lagrange duality principle and double cycle variable method were used to decouple the two optimization variables and transform them into two equivalent sub-problems, and finally the sub-gradient iterative algorithm was used to solve the sub-problems iteratively. Simulation experiment results demonstrate the feasibility and effectiveness of the proposed full-duplex system with self-energy recovery and resource allocation algorithm.