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Downtilts adjustment and power allocation algorithm based on PSO for 3D MIMO systems
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 jo...
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creator | Wu, Yaying Li, Xiaohui Hei, Yongqiang |
description | 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. |
doi_str_mv | 10.1049/cp.2013.0101 |
format | conference_proceeding |
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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.</description><identifier>ISBN: 1849196532</identifier><identifier>ISBN: 9781849196536</identifier><identifier>DOI: 10.1049/cp.2013.0101</identifier><language>eng</language><publisher>Stevenage, UK: IET</publisher><subject>Antenna arrays ; Mobile radio systems ; Optimisation techniques ; Signal processing and detection</subject><ispartof>2013 IET International Conference on Information and Communications Technologies : April 27-29, 2013, Beijing, China, 2013, p.557-563</ispartof><rights>Copyright The Institution of Engineering & Technology Apr 27, 2013</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,780,784,789,790,4048,4049,27924</link.rule.ids></links><search><creatorcontrib>Wu, Yaying</creatorcontrib><creatorcontrib>Li, Xiaohui</creatorcontrib><creatorcontrib>Hei, Yongqiang</creatorcontrib><title>Downtilts adjustment and power allocation algorithm based on PSO for 3D MIMO systems</title><title>2013 IET International Conference on Information and Communications Technologies : April 27-29, 2013, Beijing, China</title><description>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. 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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.</abstract><cop>Stevenage, UK</cop><pub>IET</pub><doi>10.1049/cp.2013.0101</doi><tpages>7</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Antenna arrays Mobile radio systems Optimisation techniques Signal processing and detection |
title | Downtilts adjustment and power allocation algorithm based on PSO for 3D MIMO systems |
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