Paper Title
CHANNEL ESTIMATION OF CELL-FREE MASSIVE MIMO FOR PERFECT AND IMPERFECT CHANNEL STATE INFORMATION
Article Identifiers
Authors
S. Satya YaduVamshita , K Srinivasa Rao
Keywords
CHANNEL ESTIMATION OF CELL-FREE MASSIVE MIMO FOR PERFECT AND IMPERFECT CHANNEL STATE INFORMATION
Abstract
In this Paper Such techniques are essential to ensure reliable and efficient communication in modern wireless systems. The difference between perfect and imperfect CSI and their impact on wireless communication systems. It also emphasizes the importance of developing robust and efficient techniques to estimate CSI accurately, even in the presence of noise and other sources of error. This study encourages the use of maximum ratio combining at each Access Point (AP) (SE), while also showing that centralising signal processing at the Central Processing Unit (CPU) results in increased Spectral Efficiency.A viable solution for meeting the rising user demand high rate expectations in beyond-5G networks includes cell-free massive MIMO. The core idea is to connect multiple distributed access points (Aps) with all network users, possibly via a single coherent signal processing system. The purpose of this essay is to offer the first thorough attack of this technology at various AP collaboration levels. The spectral efficiency of four distinct cell-free implementations has just examined using spatially correlated fading and unrestricted linear processing. It turns out only using MRC it capable of significantly outperform both small cell and standard cellular Massive MIMO networks. Non-linear decoding study is also being explored reveals that it only makes a little difference. As a result, it is the norm for running cell-free massive MIMO networks.
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How To Cite (APA)
S. Satya YaduVamshita & K Srinivasa Rao (June-2023). CHANNEL ESTIMATION OF CELL-FREE MASSIVE MIMO FOR PERFECT AND IMPERFECT CHANNEL STATE INFORMATION . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), b91-b97. https://ijnrd.org/papers/IJNRD2306110.pdf
Issue
Volume 8 Issue 6, June-2023
Pages : b91-b97
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Paper Reg. ID: IJNRD_198652
Published Paper Id: IJNRD2306110
Downloads: 000121985
Research Area: Engineering
Country: -, -, -
Published Paper PDF: https://ijnrd.org/papers/IJNRD2306110.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306110
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