Abstract
AbstractFifth generation (5G) is anticipated to be the wireless communications technology in future applications. For a candidate transmission in 5G, filter bank multicarrier using offset quadrature amplitude modulation (FBMC-OQAM) technology is used. The commonly used channel estimation technique for FBMC-OQAM is based on preamble structure schemes, but because of intrinsic interference introduced the preamble-based channel estimation executes poor adaptation, especially in massive multiple-input multiple-output (mMIMO) systems. Leveraging the wireless channel with its nature of sparsity is used for developing an enhanced channel estimation technique for 5G FBMC-OQAM networks. In this paper, a sparse channel estimation (SCE) is implemented for mMIMO FBMC-OQAM systems. The executed results show that the sparse channel estimation (SCE) technique outperforms best athwart to conventional-based LS channel estimation (LSCE) technique. The proposed channel estimation spare channel estimation (SCE) approach is an effective channel estimation method for mMIMO wireless communication systems (WCS).KeywordsFilter bank multicarrierMassive MIMOOrthogonal quadrature amplitude modulationSparse channel estimation
Published Version
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