关键词: 多小区正交频分多址（OFDMA）系统, 协同随机量子粒子群算法, 资源分配

Abstract: Aiming at the problem of maximizing system throughput of inter-cell interference in OFDMA multi-cell system, a cooperative rand quantum genetic algorithm particle swarm optimization algorithm is proposed for subcarriers and power co-allocation under the constraint of system power based on cooperative quantum genetic algorithm particle swarm optimization algorithm. Particle swarm optimization algorithm is used to optimize power allocation of subcarrier independently and improved quantum genetic algorithm is used to optimize user subcarrier allocation. At the same time, by using the stochastic cooperative strategy, the local optimal solution is avoided, and the global optimal solution is achieved. Simulation results show that the proposed algorithm can get more system throughput and higher resource utilization compared with the traditional fractional step algorithm.

Key words: multi-cell Orthogonal Frequency Division Multiple Access（OFDMA） system, cooperative rand quantum genetic algorithm particle swarm optimization algorithm, resource allocation