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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: July 2026
Volume 11 | Issue 7
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Impact Factor : 8.14
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| Paper Title: | PERFORMANCE ANALYSIS OF CHANNEL ESTIMATION TECHNIQUES IN MASSIVE MIMO SYSTEMS |
| Authors Name: | PRASANTH KUMAR BURUGU |
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IJRTI_213152
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| Published Paper Id: | IJRTI2606012 |
| Published In: | Volume 11 Issue 6, June-2026 |
| DOI: | |
| Abstract: | Massive Multiple Input Multiple Output (Massive MIMO) technology has emerged as a key enabling solution for modern wireless communication systems due to its ability to improve spectral efficiency, network capacity, and communication reliability. Accurate channel estimation is essential for efficient signal detection, beamforming, and interference management in Massive MIMO environments. This paper presents a comparative performance analysis of Least Squares (LS) and Minimum Mean Square Error (MMSE) channel estimation techniques under Rayleigh fading channel conditions. MATLAB-based simulations are performed to evaluate estimation performance using Mean Square Error (MSE) and Bit Error Rate (BER) metrics over varying Signal-to-Noise Ratio (SNR) levels. The simulation results demonstrate that both estimators improve as SNR increases. However, MMSE estimation consistently achieves lower estimation error and superior detection performance due to its utilization of channel statistical information. Although MMSE requires higher computational complexity, its robustness and improved estimation accuracy make it a suitable candidate for practical Massive MIMO deployments. The study highlights the trade-off between computational complexity and estimation performance while providing useful insights for next-generation wireless communication systems. Keywords—Massive MIMO, Channel Estimation, LS Estimation, MMSE Estimation, Rayleigh Fading, MSE, BER, Wireless Communication. |
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| Cite Article: | "PERFORMANCE ANALYSIS OF CHANNEL ESTIMATION TECHNIQUES IN MASSIVE MIMO SYSTEMS ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 6, page no.a109-a122, June-2026, Available :http://www.ijrti.org/papers/IJRTI2606012.pdf |
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 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: IJRTI2606012
Registration ID:213152
Published In: Volume 11 Issue 6, June-2026
DOI (Digital Object Identifier):
Page No: a109-a122 Country: Khammam, Telangana, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2606012 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2606012 |
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ISSN: 2456-3315
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