Title: Numerical Analysis of Next-Generation Wireless Networks Using Modified PLS-SEM Model
| Issue Number: | Vol. 12, No. 1 |
| Year of Publication: | 2022 |
| Page Numbers: | 1-14 |
| Authors: | A.U USMAN, S.B. ABDULLAHI, Z. ABDULLAHI, K. TUKUR, A. MUHAMMAD, R.S. ALKASSIM & A.H. IBRAHIM |
| Journal Name: | International Journal of Digital Information and Wireless Communications (IJDIWC) - Hong Kong |
Abstract:
In this paper, three constructs are initialized in conventional Structural Equation model (SEM) to minimize large-scale extensive pre-deployed model simulations in wireless networks while observing subscribers’ behavior to an active network. These constructs are directly connected to subscriber’s sense of judgement on active and adopting next-generation networks. Our model is developed using SEM and estimated using Partial least square (PLS) to establish one Partial Least Square-Structural Equation Model (PLS-SEM) to overcome collinearity problem of SEM approximations. Model is validated on 4G network data sets, which are captured from rural and urban areas of Kano. Performance of the models was verified using Cronbach’s Alpha, rho_A, composite reliability and average variance extracted (AVE) to confirm reliability and validity. The Cronbach’s alpha, rho_A, composite reliability, and validity achieved threshold point of 0.7, 0.7, 0.7 and 0.5, respectively. The formulated hypothesis is significantly established with coefficient of determination (R2) of 94.4% and 96.5% for dependent variable Behavioral Intention (BI) and Facilitating Conditions (FC).