Genetic algorithm-based pilot allocation method in large-scaled antenna system

The invention discloses a genetic algorithm-based pilot allocation method in a large-scaled antenna system. The purpose of improving a sum rate of a user in the system serves as a target, genetic algorithm is adopted, and the optimal pilot allocation scheme is obtained. Firstly, a gene code concept is introduced, different pilot allocation schemes are generated through exchanging the codes, the sum rates of the user in the system in different pilot allocation schemes are further calculated, and a guideline for the survival of the fittest is adopted, a corresponding gene code is kept; secondary, reproduction, crossover and mutation operation are carried out on the kept gene code, and a new gene code is generated; and finally, the above steps are repeated, through multiple turns of survival of the fittest and gene crossover mutation, the pilot allocation scheme with the maximal user sum rate in the system is obtained. The method of the invention adopts the genetic algorithm, limitation of a local optimal solution is broken, pilot pollution influences of the large-scaled antenna system are lessened, and complexity of the pilot allocation strategy is reduced.