English  |  正體中文  |  简体中文  |  Items with full text/Total items : 27228/39071
Visitors : 2413331      Online Users : 36
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search
LoginUploadHelpAboutAdminister

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/42498

Title: A Low-Complexity Genetic Algorithm for Joint Antenna Selection and Power Allocation in Hybrid STBC-SM MIMO Systems
Authors: Hsien-Sen Hung;Hoang-Yang Lu;Yu-Huei Cheng
Contributors: 國立臺灣海洋大學:電機工程系
Date: 2016-05
Issue Date: 2017-05-18T02:34:11Z
Publisher: Wireless Personal Communications
Abstract: Abstract
In this paper, we propose a low-complexity genetic algorithm (GA) to deal with the joint antenna selection (AS) and power allocation (PA) problem in multiple-input multiple-output systems with space time block coding and spatial multiplexing. The proposed GA is aimed to solve the joint AS and PA problem by maximizing the channel capacity under a fixed total transmission power constraint. At the first stage of the proposed scheme, we conduct the priority based GA to concurrently select the best transmit/receive antenna set under uniform transmit power allocation. At the second stage, we carry out a real-value GA to find the best power allocation strategy for the selected transmit antennas. Complexity analysis and simulation results are presented to assert that the proposed scheme can outperform existing works in terms of the bit error rate performance, while keeping its computational complexity modest.
Relation: 88(2),pp.305-318
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/42498
Appears in Collections:[電機工程學系] 期刊論文

Files in This Item:

File Description SizeFormat
index.html0KbHTML63View/Open


All items in NTOUR are protected by copyright, with all rights reserved.

 


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback