Power allocation algorithm based on channel capacity in cooperative communication

Abstract

In order to solve the problems of low robustness and high complexity of power allocation algorithm in cooperative communication, under the constraints of limited channel strength, number of nodes and total power, this paper presents a power allocation algorithm based on channel capacity in cooperative communication. Based on the traditional channel capacity model, the harmonic mean and average weight of channel strength are introduced to simplify the solution process of the objective function in order to reduce the complexity of the algorithm. The crossover and mutation rules in the genetic algorithm are introduced to avoid local optima, and intelligent velocity constraints of particles are established to reduce the algorithm complexity. The optimal function is established by calculating the channel strength weight coefficients. Simulation results show that the proposed algorithm has improved in channel capacity and convergence compared to the mainstream and original algorithms. The improved algorithm has better practicality and advancement in cooperative communication.