## 7 Simulation Results  
There are various studies that have been conducted which focused on improving the QoS parameters for the wireless network. Such as, the studies in [77; 78] that focused on the efficient power control in the uplink of a code-division multiple access (CDMA) wireless network, where it focused on various QoS prerequisites. The corresponding non-convex utility-based multi-service optimization problem was solved by using the game-theoretic framework. The results were evaluated in terms of the user actual and average throughput rate and power consumption. Also in [79], the authors estimated the throughput for their proposed interference management scheme for small cell network. The results were calculated in terms of cell-edge user throughput and outage probability. However, a study focused on channel modeling and considered the effect of fog, rain, and snow during the communication, especially in free space optical (FSO) links [80]. Another study in [81] focused on QoS performance evaluation over the 5G network for an indoor environment. The results of this research are focused on estimating the average cell and user throughputs. Similarly, this section describes the outcomes tabulated by estimating the throughputs of cell-edge users, average cell, and average users, along with fairness index and spectral efficiency for a varied number of users. The performance at various MIMO antenna arrangements, as well as at different channel bandwidths, are also presented for both CI and FI models. Figure 6: Flowchart of system simulation. The average user throughput is defined as the amount of data received by a connected user on average in a cellular network. Mathematically, it can be defined as the number of packets received by a specific user [82]. Figure 7 illustrates the outcome of the average user throughput for a varied number of users. It displays the highest cell throughput for 10 users and the lowest cell throughput for 50 users, for all scenarios. As noted, both CI-LOS V-V and FI-LOS V-V scenarios predicted the highest average user throughput for a varied number of users, i.e., 25 and 22 Mbps for a minimum of 10 users, as well as 5 and 4.90 Mbps for a maximum of 50 users. This resulted because the best modulation and coding scheme (MCS) index values were obtained due to the better-received signal quality from both the LOS path and similar antenna polarization. The LOS V-H case for the CI and FI models achieved 17.50 and 12 Mbps for 10 users, while 4 and 3.30 Mbps for 50 users, respectively. On the other hand, the NLOS environment received the lowest throughput for both the CI and FI models, as compared with the LOS case, which was due to the lower power levels at Rx that gave less space for accurately picking the transmission signal. The cell-edge user throughput was heavily dependent on the strength of the signal received and the number of interferences (co-channel interference (CCI) and inter-cell interference (ICI)), which cell-edge users faced from adjacent cells [23]. Figure 8 illustrates the estimated cell-edge user throughput with respect to a varied number of users. As noted, the cell-edge user performance declined with the increment in the number of users due to the high penetration losses that led to limited resource blocks (RBs) at the user's end. Both CI-LOS and FI-LOS path loss models for V-V polarization were the highest throughput, at 12.10 and 10.80 Mbps for 10 users, respectively. Similarly, for a maximum of 50 users, the cell-edge user throughput for both models reduced and recorded at approximately 3 Mbps. The FI-LOS V-H configuration also forecasted decent throughput for all the users. It estimated 8 Mbps for 10 users and decreased to as low as 1.90 Mbps for 50 users. In contrast, the CI-LOS V-H and NLOS V-V for both CI and FI models predicted the worst cell-edge performance, the data rates were below 1 Mbps for 10 users and even reached a zero signal when the number of users was higher.