DocumentCode :
638676
Title :
Downtilts adjustment and power allocation algorithm based on PSO for 3D MIMO systems
Author :
Yaying Wu ; Xiaohui Li ; Yongqiang Hei
Author_Institution :
State Key Lab. of Integrated Service Network, Xidian Univ., Xi´an, China
fYear :
2013
fDate :
27-29 April 2013
Firstpage :
557
Lastpage :
563
Abstract :
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.
Keywords :
Long Term Evolution; MIMO communication; active antenna arrays; array signal processing; mobile antennas; particle swarm optimisation; 3-dimensional beamforming technology; 3D MIMO systems; 3D beamforming technology; AAS; LTE-A systems; Long Term Evolution-Advanced systems; PSO; active antenna system; beams optimization algorithm; cell spectral efficiency; downtilts adjustment algorithm; fitness function; high cell spectral efficiency; particle swarm optimization; power allocation algorithm; vertical beams; 3D beamforming; AAS; PSO; cell splitting; downtilts adjustment; power allocation;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Information and Communications Technologies (IETICT 2013), IET International Conference on
Conference_Location :
Beijing
Electronic_ISBN :
978-1-84919-653-6
Type :
conf
DOI :
10.1049/cp.2013.0101
Filename :
6617544
Link To Document :
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