Beam Tracking Channel for Millimeter-Wave Communication System Using Least Mean Square Algorithm | ||
| Al-Rafidain Engineering Journal (AREJ) | ||
| Article 8, Volume 26, Issue 2, October 2021, Pages 118-123 PDF (1.01 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/rengj.2021.129143.1076 | ||
| Authors | ||
| Ban A. Asi* 1; Farhad E. Mohmood2 | ||
| 1Departement of Computer Engineering, Collage of Engineering, University of Mosul | ||
| 2Departement of Electrical Engineering, Collage of Engineering, University of Mosul | ||
| Abstract | ||
| Millimeter-wave (mmwave)is an attractive option for high data rate applications in the 5G wireless communication that requires proper beamforming, channel tracking, and channel change. Adaptive beams are formed by relying on adaptive algorithms. In this paper, we study, analyze, and compare the performance of the least mean square algorithm (LMS) and normalized least mean square (NLMS) for tracking channel status and transmit array beam. When using LMS algorithms and natural NLMS algorithms, an adaptive filter usually results in a trade-off between convergence velocity and adaptive accuracy. The results showed that the LMS algorithm is one of the simplest types of algorithm but it needs a large step size to obtain faster system convergence and stability. NLMS algorithm is a special application for the LMS algorithm, in which NLMS algorithm takes into account the change in the signal level when applying the filter and specifies the normal step size parameter μ. this leads to stability as well as rapid convergent adaptation of the algorithm. | ||
| Keywords | ||
| 5G; Massive multi input multi output(Massive MIMO); Millimeter-wave (mmwave); Adaptive filter; Least mean square(LMS); Normalized least mean square(NLMS) | ||
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