Multicarrier NOMA Power Allocation Strategy Based on Adaptive Particle Swarm Optimization Algorithm

As non-orthogonal multiple access technology can achieve higher system throughput, spectrum efficiency and energy efficiency than traditional orthogonal access technology, it has become a research hotspot of 5G multiple access technology. In this paper, a power allocation strategy based on adaptive particle swarm optimization is proposed to optimize the energy efficiency of NOMA downlink system. Firstly, aiming at the defects of conventional particle swarm optimization algorithm, an adaptive particle swarm optimization algorithm based on diversity driven (PDD-APSO) is proposed; Then an optimization model based on energy efficiency maximization is established, and PDD-APSO algorithm is used to solve the objective function of maximizing system energy efficiency. The research results show that the PDD-APSO algorithm improves the convergence speed and precision, and the global search ability is significantly improved compared with other existing PSO algorithms; At the optimal power distribution point, the PDD-APSO algorithm can significantly improve the system energy efficiency.