This paper presents a methodology for parameterizing an antenna array for 5G cellular networks using a K-Mean genetic algorithm to identify a cluster of user terminals for SDMA (Space Division Multiple Access) and three modified propagation models (Hata, Cost 231 Hata and Stanford University Interim (SUI)) to determine SINR. The simulation results will show the design can derive the SINR for three different systems operating in different frequencies in two dimensions. This research lays the foundation to determine the optimal cluster size, LTE frame size to provide maximum transmission efficiency and SINR for user terminals in 3D MIMO networks system.
3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems / Xu, C; Cosmas, J; Zhang, Y; Lazaridis, P; Araniti, Giuseppe; Zaharis, Zd. - (2016). [10.1109/TEMU.2016.7551912]
3D MIMO radio channel modeling of a weighted linear array system of antennas for 5G cellular systems
ARANITI, Giuseppe;
2016-01-01
Abstract
This paper presents a methodology for parameterizing an antenna array for 5G cellular networks using a K-Mean genetic algorithm to identify a cluster of user terminals for SDMA (Space Division Multiple Access) and three modified propagation models (Hata, Cost 231 Hata and Stanford University Interim (SUI)) to determine SINR. The simulation results will show the design can derive the SINR for three different systems operating in different frequencies in two dimensions. This research lays the foundation to determine the optimal cluster size, LTE frame size to provide maximum transmission efficiency and SINR for user terminals in 3D MIMO networks system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
