TY - JOUR ID - 169363 TI - Study of the Impact of Antenna Selection Algorithms of Massive MIMO on Capacity and Energy Efficiency In 5G Communication Systems JO - Al-Rafidain Engineering Journal (AREJ) JA - AREJ LA - en SN - 1813-0526 AU - Abdullah, Sawsan N. AU - Mohmood, Farhad E. AU - Ali, Yessar Ezzaldeen Mohammed AD - Electrical Engineering Department, Collage of Engineering, University of Mosul AD - Departement of Electrical Engineering, Collage of Engineering, University of Mosul Y1 - 2021 PY - 2021 VL - 26 IS - 2 SP - 164 EP - 170 KW - Antenna Selection KW - Massive MIMO KW - 5G DO - 10.33899/rengj.2021.130499.1110 N2 - 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 UR - https://rengj.mosuljournals.com/article_169363.html L1 - https://rengj.mosuljournals.com/article_169363_e00ca2ef014f875c4ecd54e46b308c63.pdf ER -