Optimized Hybrid Channel Estimation for High-Performance Massive MIMO - Maddileti, Telugu
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The objectives of this book are to introduce the fundamentals of massive multiple-input multiple-output (MIMO) systems and identify key challenges in conventional channel estimation methods in massive MIMO, such as pilot contamination, computational complexity, and hardware constraints and also focuses on Investigation of Hybrid Channel Estimation Techniques. Finally, this book is focused on Massive-MIMO systems implementation MEPE channel estimation and CSK-PS precoding. The interruption by the pilot limits a regular matched filter to the approximation, where the user's count is equal to the…mehr

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Produktbeschreibung
The objectives of this book are to introduce the fundamentals of massive multiple-input multiple-output (MIMO) systems and identify key challenges in conventional channel estimation methods in massive MIMO, such as pilot contamination, computational complexity, and hardware constraints and also focuses on Investigation of Hybrid Channel Estimation Techniques. Finally, this book is focused on Massive-MIMO systems implementation MEPE channel estimation and CSK-PS precoding. The interruption by the pilot limits a regular matched filter to the approximation, where the user's count is equal to the antenna count. The CSK-PS precoder scheme has been suggested, whereby each BS blends messages addressed to users of various cells that use the same pilot series on a linear basis.
Autorenporträt
Dr. Telugu Maddileti is currently working as an Associate Professor in the ECE at Guru Nanak Institutions Technical Campus. He has 21 years of teaching experience in Academics. Received his Ph.D. from JNTUA & both M.Tech and B.Tech from JNTU, Hyd. Presented 76 technical papers at international journals & conferences and published 15 Indian patents.