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The impact of MIMO Communication on Non-Frequency Selective Channels Performance

The impact of MIMO Communication on Non-Frequency Selective Channels Performance

Andreas Ahrens, César Benavente-Peces
Copyright: © 2011 |Pages: 15
ISBN13: 9781609600426|ISBN10: 1609600428|EISBN13: 9781609600433
DOI: 10.4018/978-1-60960-042-6.ch007
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MLA

Ahrens, Andreas, and César Benavente-Peces. "The impact of MIMO Communication on Non-Frequency Selective Channels Performance." Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts, edited by Maria Manuela Cruz-Cunha and Fernando Moreira, IGI Global, 2011, pp. 100-114. https://doi.org/10.4018/978-1-60960-042-6.ch007

APA

Ahrens, A. & Benavente-Peces, C. (2011). The impact of MIMO Communication on Non-Frequency Selective Channels Performance. In M. Cruz-Cunha & F. Moreira (Eds.), Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts (pp. 100-114). IGI Global. https://doi.org/10.4018/978-1-60960-042-6.ch007

Chicago

Ahrens, Andreas, and César Benavente-Peces. "The impact of MIMO Communication on Non-Frequency Selective Channels Performance." In Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts, edited by Maria Manuela Cruz-Cunha and Fernando Moreira, 100-114. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-60960-042-6.ch007

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Abstract

This chapter reviews the basic concepts of multiple-input multiple-output (MIMO) communication systems and analyses their performance within non-frequency selective channels. The MIMO system model is established and by applying the singular value decomposition (SVD) to the channel matrix, the whole MIMO system can be transformed into multiple single-input single-output (SISO) channels having unequal gains. In order to analyze the system performance, the quality criteria needed to calculate the error probability of M-ary QAM (Quadrature Amplitude Modulation) are briefly reviewed and used as reference to measure the improvements when applying different signal processing techniques. Bit and power allocation is a well-known technique that allows improvement in the bit-error rate (BER) by managing appropriately the different properties of the multiple SISO channels. It can be used to balance the BER’s in the multiple SISO channels when minimizing the overall BER. In order to compare the various results, the efficiency of fixed transmission modes is studied in this work regardless of the channel quality. It is demonstrated that only an appropriate number of MIMO layers should be activated when minimizing the overall BER under the constraints of a given fixed date rate.

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