@Article{csse.2023.037976,
AUTHOR = {Elsaid Md. Abdelrahim, Mona Alduailij, Mai Alduailij, Romany F. Mansour, Osama A. Ghoneim},
TITLE = {An Optimized Approach for Spectrum Utilization in mmWave Massive MIMO 5G Wireless Networks},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {47},
YEAR = {2023},
NUMBER = {2},
PAGES = {1493--1505},
URL = {http://www.techscience.com/csse/v47n2/53627},
ISSN = {},
ABSTRACT = {Massive multiple-input multiple-output (MIMO) systems that use the millimeter-wave (mm-wave) band have a higher frequency and more antennas, which leads to significant path loss, high power consumption, and server interference. Due to these issues, the spectrum efficiency is significantly reduced, making spectral efficiency improvement an important research topic for 5G communication. Together with communication in the terahertz (THz) bands, mmWave communication is currently a component of the 5G standards and is seen as a solution to the commercial bandwidth shortage. The quantity of continuous, mostly untapped bandwidth in the 30–300 GHz band has presented a rare opportunity to boost the capacity of wireless networks. The wireless communications and consumer electronics industries have recently paid a lot of attention to wireless data transfer and media streaming in the mmWave frequency range. Simple massive MIMO beamforming technology cannot successfully prevent interference between multiple networks in the current spectrum-sharing schemes, particularly the complex interference dispersed in indoor communication systems such as homes, workplaces, and stadiums. To effectively improve spectrum utilization and reduce co-channel interference, this paper proposes a novel algorithm. The main idea is to utilize the spectrum in software-defined mmWave massive MIMO networks through coordinated and unified management. Then, the optimal interference threshold is determined through the beam alignment method. Finally, a greedy optimization algorithm is used to allocate optimal spectral resources to the users. Simulation results show that the proposed algorithm improved spectral efficiency and reduced interference.},
DOI = {10.32604/csse.2023.037976}
}