Por favor, use este identificador para citar o enlazar este ítem: http://repositorio.ufc.br/handle/riufc/60154
Tipo: Artigo de Evento
Título : Particle Swarm Optimization for Antenna Port Placement in Coordinated Multi-Point Systems
Título en inglés: Particle Swarm Optimization for Antenna Port Placement in Coordinated Multi-Point Systems
Autor : Feitosa, João César Machado
Maciel, Tarcísio Ferreira
Stancanelli, Elvis Miguel Galeas
Freitas Júnior, Walter da Cruz
Cavalcanti, Francisco Rodrigo Porto
Palabras clave : Coordinated Multi-Point;Antenna port;Particle swarm optimization
Fecha de publicación : 2009
Editorial : https://www.sbrt.org.br/sbrt2009/
Citación : FEITOSA, João César Machado; MACIEL, Tarcísio Ferreira; STANCANELLI, Elvis Miguel Galeas; FREITAS JÚNIOR, Walter da Cruz; CAVALCANTI, Francisco Rodrigo Porto. Particle swarm optimization for antenna port placement in coordinated multi-point systems. In: SIMPÓSIO BRASILEIRO DE TELECOMUNICAÇÕES- SBrT, XXVII ., 29 set. a 2 out. 2009, Blumenau-SC. Anais[…], Blumenau-SC., 2009.
Abstract: Coordinated Multi-Point (CoMP), also termed Distributed Antenna System (DAS), has emerged in recent years in the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) as a promising architecture to enhance the link performance and, consequently, the capacity of wireless communication systems. A CoMP system consists of several Antenna Ports (APs) geographically spread over a coverage area and connected through a fast backhaul to an Enhanced Node B (eNB). The optimal placement of a number of distributed APs depends, e.g., on the distribution of the User Equipments (UEs) and the metric to be optimized and, in some cases, cannot be determined analytically. In order to solve the AP placement problem, global optimization techniques can be employed, as it is the case of the Particle Swarm Optimization (PSO) technique used in this work considering various scenarios with different number of APs, UE distributions, and optimization metrics. The obtained results shown that PSO can be a very suitable tool effectively for the planning of CoMP systems.
URI : http://www.repositorio.ufc.br/handle/riufc/60154
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