Abstract: Provided are an uplink power control method and device based on a genetic algorithm in a communication network. The method includes: modelling a communication network to obtain a theoretically optimal mobile terminal transmission power expression; determining a fitness function in combination of a genetic algorithm; determining the number of bits of a binary string of a variable; initializing populations; returning an actual value from the binary string to serve as an actual variable; and obtaining the most robust gene and the weakest gene in a chromosome according to the fitness function, designing a genetic operator and determining operating parameters of the genetic algorithm according to the most robust gene and the weakest gene. Using the solution enables a base station to properly indicate to dynamically adjust the uplink transmission power of a home mobile terminal, thereby ensuring excellent system performance of the communication network.

Abstract: Provided are an uplink power control method and device based on a genetic algorithm in a communication network. The method includes: modelling a communication network to obtain a theoretically optimal mobile terminal transmission power expression; determining a fitness function in combination of a genetic algorithm; determining the number of bits of a binary string of a variable; initializing populations; returning an actual value from the binary string to serve as an actual variable; and obtaining the most robust gene and the weakest gene in a chromosome according to the fitness function, designing a genetic operator and determining operating parameters of the genetic algorithm according to the most robust gene and the weakest gene. Using the solution enables a base station to properly indicate to dynamically adjust the uplink transmission power of a home mobile terminal, thereby ensuring excellent system performance of the communication network.