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Please use this identifier to cite or link to this item: http://dspace.cityu.edu.hk/handle/2031/6358
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dc.contributor.authorHui, Kin Waien_US
dc.date.accessioned2011-09-15T01:51:38Z
dc.date.accessioned2017-09-19T09:12:09Z
dc.date.accessioned2019-02-12T07:29:39Z-
dc.date.available2011-09-15T01:51:38Z
dc.date.available2017-09-19T09:12:09Z
dc.date.available2019-02-12T07:29:39Z-
dc.date.issued2011en_US
dc.identifier.other2011eehkw989en_US
dc.identifier.urihttp://144.214.8.231/handle/2031/6358-
dc.description.abstractWireless communication is developed rapidly and different network technologies are invented, e.g. Wi-Fi, 4G. In these technologies, MIMO is part of the wireless communication of which academic researches based on it are carried out. MIMO with multiple antennas improves the capacity and reliability of communication. However, the deployment of multiple antennas requires radio frequency chains which are expensive and energy consumption. Also, after using antenna selection, the system performance is better than not using antenna selection in correlated channel. Dealing with these issues, antenna selection is proposed. It is a low-cost method to achieve the advantages of MIMO, e.g. minimize the error probability, maximise the capacity. The project focuses on the antenna selection in the correlated channels and sets the selection goal maximized the channel capacity e.g. Ergodic capacity. The MIMO system is assumed without the CSI at transmitter, thus water-filling cannot be used. In the project, the low-complexity antenna selection (LCSA) algorithms will be focused on which can approach to optimal capacity. LCSA is designed to select the best antenna set which maximizes the determinant of the known correlation matrix. The simulation will validate the LCSA obtains close performance as the optimum antenna selection with low complexity.en_US
dc.rightsThis work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.en_US
dc.rightsAccess is restricted to CityU users.en_US
dc.titleLow-complexity antenna selection algorithms for MIMO systemsen_US
dc.contributor.departmentDepartment of Electronic Engineeringen_US
dc.description.supervisorSupervisor: Dr. Dai, Lin; Assessor: Dr. Sung, Albert C Wen_US
Appears in Collections:Electrical Engineering - Undergraduate Final Year Projects 

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