Sparse Channel Estimation for MIMO-FBMC/OQAM Wireless Communications in Smart City Applications


Sparse Channel Estimation for MIMO-FBMC/OQAM Wireless Communications in Smart City Applications is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include Orthogonal frequency-division multiplexing, computer science, electronic engineering, transmission, Precoding, MIMO, channel, compressed sensing, power control, quadrature amplitude modulation, wireless communication, preamble, algorithm, and filter bank. The experimental results demonstrate that the compressed sensing approach for CE outperforms the conventional preamble CE method.

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