Print ISSN: 1813-0526

Online ISSN: 2220-1270

Keywords : 5G


Beam Tracking Channel for Millimeter-Wave Communication System Using Least Mean Square Algorithm

Ban A. Asi; Farhad E. Mohmood

Al-Rafidain Engineering Journal (AREJ), 2021, Volume 26, Issue 2, Pages 118-123
DOI: 10.33899/rengj.2021.129143.1076

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. 

Study of the Impact of Antenna Selection Algorithms of Massive MIMO on Capacity and Energy Efficiency In 5G Communication Systems

Sawsan N. Abdullah; Farhad E. Mohmood; Yessar Ezzaldeen Mohammed Ali

Al-Rafidain Engineering Journal (AREJ), 2021, Volume 26, Issue 2, Pages 164-170
DOI: 10.33899/rengj.2021.130499.1110

Massive MIMO system in the fifth generation can consume a large amount of energy. In this research, the selection of antennas was studied based on several algorithms and a new algorithm was proposed for the selection of antennas. The results showed through a comparison between the approved and proposed methods in the research in terms of capacitance that The proposed algorithm is the closest in terms of capacity to the ideal case, as this method is considered almost ideal for its application in multi-input and multi-output systems to improve performance in the fifth generation, followed by the greedy algorithm and algorithm norm, as it was noted from During the comparison in terms of energy efficiency, it is possible to increase energy efficiency when choosing a certain number of antennas