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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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| Paper Title: | CHANNEL ESTIMATION OF CELL-FREE MASSIVE MIMO FOR PERFECT AND IMPERFECT CHANNEL STATE INFORMATION |
| Authors Name: | S. Satya YaduVamshita , K Srinivasa Rao |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_198652
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| Published Paper Id: | IJNRD2306110 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| 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. |
| Keywords: | CHANNEL ESTIMATION OF CELL-FREE MASSIVE MIMO FOR PERFECT AND IMPERFECT CHANNEL STATE INFORMATION |
| Cite Article: | "CHANNEL ESTIMATION OF CELL-FREE MASSIVE MIMO FOR PERFECT AND IMPERFECT CHANNEL STATE INFORMATION ", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.b91-b97, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306110.pdf |
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| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2306110 Registration ID: 198652 Published In: Volume 8 Issue 6, June-2023 DOI (Digital Object Identifier): Page No: b91-b97 Country: -, -, - Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2306110 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2306110 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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