GENETIC ALGORITHM-BASED SCHEDULING AND RESOURCE ALLOCATION JOINT OPTIMIZATION METHOD

摘要

The present invention relates to the technical field of wireless communications, and provided is a genetic algorithm-based scheduling and resource allocation joint optimization method, which is applied to a communication system which uses coordinated multipoint transmission technology. The method comprises the steps of: S1, encoding chromosome; S2, setting initialization; S3, calculating a fitness value; S4, judging whether an optimal solution is superior to an elite, if yes, conducting elite update, and executing S5; otherwise, skipping to S5; S5, judging whether a preset generation of population has been generated, if not, executing S6; otherwise, skipping to S8; S6, participating in a propagation process to generate two daughter chromosome individuals; S7, judging whether a preset number of daughter chromosome individuals have been generated, if yes, skipping to S3 to conduct recalculation; otherwise, turning to S6 to continue propagation; and S8, according to a solution corresponding to the elite, conducting scheduling and resource allocation. The method of the present invention can jointly conduct scheduling and resource allocation under the condition of meeting the scheduling limitation and power limitation, and reliably and efficiently optimize the system performance with a relatively low calculation complexity.