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Orthogonal Frequency Division Multiplexing-Multiple Input Multiple Output Channel Estimation for Rayleigh and Rician Channel Models

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Inventive Computation Technologies (ICICIT 2019)

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Abstract

Mobile users experience the effect of change involved in channel characteristics. System delay leads the outdated channel state information (CSI) and that will be used for adaptive modulation techniques. By using adapt modulation techniques can predict the future CSI with the help of channel prediction approaches. The primary contribution of this paper is a low complexity channel prediction method using polynomial approximation. In this paper, orthogonal frequency division multiplexing (OFDM) is designed for radio band communication to moderate inter symbol interference and thus increase the system capacity. A comparison of MIMO-OFDM using BPSK and QAM on Rayleigh and Rician channels, by designing the STCP estimators through a 2 × 2 multi antenna system using MATLAB is done.

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Correspondence to R. B. Hussana Johar .

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Hussana Johar, R.B., Sujatha, B.R. (2020). Orthogonal Frequency Division Multiplexing-Multiple Input Multiple Output Channel Estimation for Rayleigh and Rician Channel Models. In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_46

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