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Coexisting wireless technologies might impede the performance of the received signal in a 5G network by
causing interference. This work suggests a unique method for processing antenna arrays that deals with interference coexistence communication. We employ a linear filter called the Linearly Constrained Minimum Variance (LCMV) filter. Incorporating it into the conventional single linearly restricted least mean square cost function, we impose a log-sum penalty on the coefficients (LC-LMS). Weights for iterative filters are computed using a formula. We demonstrate that the innovative method's convergence rate is faster than the traditional one using simulations in an antenna environment with an interest signal, noise, and
interferences. The recommended approach's mean-square-error (MSE) is also supported. The proposed adaptive beam generating method is applicable to a 5G system to deal with signal and interference coexistence.
Keywords:
Array Factor, Uniform Linear Array, Least Mean Squares, Recursive Least Squares, Conjugate Gradient Method, Linearly Constrained Minimum Variance, Direction of Arrival, Signal of Interest
Cite Article:
"A Comparative Analysis of Adaptive 5G Beam Forming Algorithms", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 9, page no.270 - 275, September-2022, Available :http://www.ijrti.org/papers/IJRTI2209036.pdf
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ISSN:
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