MIMO channel capacity and configuration selection for switched parasitic antennas
Autor: | Robert Simon Sherratt, Paramvir Kaur Pal |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
General Computer Science
Computer science MIMO lcsh:TK7800-8360 Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Topology Eigenvalue spread lcsh:Telecommunication Channel capacity Switched parasitic antennas 0203 mechanical engineering lcsh:TK5101-6720 0202 electrical engineering electronic engineering information engineering Wireless Condition number Electrical and Electronic Engineering Decorrelation Eigenvalues and eigenvectors Computer Science::Information Theory Covariance matrix business.industry lcsh:Electronics 020206 networking & telecommunications 020302 automobile design & engineering Electronic Optical and Magnetic Materials business Communication channel |
Zdroj: | ETRI Journal, Vol 40, Iss 2, Pp 197-206 (2018) |
ISSN: | 2233-7326 |
Popis: | MIMO systems offer a significant enhancement of data rate and channel capacity compared to traditional systems. But correlation degrades the system performance and puts a practical limit on the number of antennas that can be squeezed into portable wireless devices. Switched Parasitic Antennas (SPAs) is a possible solution especially where it is difficult to obtain enough signal decorrelation with conventional means. The covariance matrix represents the correlation present in the propagation channel and has significant impact on the MIMO channel capacity. The results of this work demonstrate a significant improvement in the MIMO channel capacity by using SPA with the knowledge of the covariance matrix for all pattern configurations. By employing the ‘Water-Pouring Algorithm’ (WPA) to modify the covariance matrix, the channel capacity is significantly improved as compared to traditional systems which just spread power equally among all the transmit antennas. A Condition Number (CN) is also proposed as a selection metric, to select the optimal pattern configuration for SPAs. CN is a channel quality indicator which represents the Eigen Value Spread (EVS) of the covariance matrix. |
Databáze: | OpenAIRE |
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