Performance analysis on MIMO-OFCDM systems with multi-code transmission
This letter proposes an analytical approach to evaluate the performance of MIMO-OFCDM systems with multicode transmission. Assuming zero-forcing successive interference cancellation (ZF-SIC) in the space domain and MMSE detection in the frequency domain, it is shown that at each step of SIC, the err...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2009-09, Vol.8 (9), p.4426-4433 |
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| container_title | IEEE transactions on wireless communications |
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| creator | Zhou, Yiqing Ng, Tung-Sang |
| description | This letter proposes an analytical approach to evaluate the performance of MIMO-OFCDM systems with multicode transmission. Assuming zero-forcing successive interference cancellation (ZF-SIC) in the space domain and MMSE detection in the frequency domain, it is shown that at each step of SIC, the error events on multiple code channels are correlated to each other, which make the performance evaluation difficult due to the involvement of a complicated multivariate probability. By approximating the multivariate probability by a series of two-variate probabilities, the proposed analytical approach takes the correlation into account and provides accurate performance estimations. The analytical results are verified by simulations and shown to be more accurate than those where no correlation is considered. |
| doi_str_mv | 10.1109/TWC.2009.081136 |
| format | Article |
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Assuming zero-forcing successive interference cancellation (ZF-SIC) in the space domain and MMSE detection in the frequency domain, it is shown that at each step of SIC, the error events on multiple code channels are correlated to each other, which make the performance evaluation difficult due to the involvement of a complicated multivariate probability. By approximating the multivariate probability by a series of two-variate probabilities, the proposed analytical approach takes the correlation into account and provides accurate performance estimations. 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Assuming zero-forcing successive interference cancellation (ZF-SIC) in the space domain and MMSE detection in the frequency domain, it is shown that at each step of SIC, the error events on multiple code channels are correlated to each other, which make the performance evaluation difficult due to the involvement of a complicated multivariate probability. By approximating the multivariate probability by a series of two-variate probabilities, the proposed analytical approach takes the correlation into account and provides accurate performance estimations. 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Assuming zero-forcing successive interference cancellation (ZF-SIC) in the space domain and MMSE detection in the frequency domain, it is shown that at each step of SIC, the error events on multiple code channels are correlated to each other, which make the performance evaluation difficult due to the involvement of a complicated multivariate probability. By approximating the multivariate probability by a series of two-variate probabilities, the proposed analytical approach takes the correlation into account and provides accurate performance estimations. The analytical results are verified by simulations and shown to be more accurate than those where no correlation is considered.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TWC.2009.081136</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Analytical models Applied sciences Approximation Cancellation Channels Coding, codes Correlation analysis Detection, estimation, filtering, equalization, prediction Exact sciences and technology Frequency domain analysis Information, signal and communications theory Interference cancellation Mathematical analysis Maximum likelihood detection MIMO Miscellaneous multicode OFCDM OFDM Performance analysis Performance evaluation Signal and communications theory Signal processing Signal, noise Silicon carbide Simulation Telecommunications and information theory Transmitting antennas two-dimensional spreading Wireless communication |
| title | Performance analysis on MIMO-OFCDM systems with multi-code transmission |
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