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Downtilts adjustment and power allocation algorithm based on PSO for 3D MIMO systems

机译:基于PSO的3D MIMO系统临时调整与功率分配算法

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Since the 3-dimension (3D) beamforming technology and the Active Antenna System (AAS) have been extensively employed in Long Term Evolution-Advanced (LTE-A) systems, a cell can be divided into several sectors both horizontally and vertically to improve the performances of the systems. An issue of joint downtilts adjustment and power allocation of two vertical beams is addressed in this paper. The system model is built and a particle swarm optimization (PSO) based beams optimization algorithm is proposed to maximize the cell spectral efficiency, in which the downtilts and powers of the two vertical beams are mapped onto particles and the cell spectral efficiency is defined as the fitness function. By updating the positions and velocities of the particles according to some principles dealing with all constraints, the optimum or suboptimum solution can be obtained. Simulation results show that a high cell spectral efficiency can be achieved with a low complexity by the proposed algorithm.
机译:由于三维(3D)波束成形技术和主动天线系统(AAS)在长期演化高级(LTE-A)系统中被广泛采用,因此电池可以水平和垂直分为几个扇区以改善系统的性能。本文解决了两个垂直光束的关节调整和功率分配问题。构建了系统模型,提出了一种基于粒子群优化(PSO)的光束优化算法,以最大化细胞谱效率,其中两个垂直光束的下液体和功率映射到粒子上,并且细胞谱效率被定义为健身功能。通过根据处理所有约束的一些原理更新粒子的位置和速度,可以获得最佳或次间解。仿真结果表明,通过所提出的算法,可以通过低复杂度实现高电平谱效率。

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