igured as NOMA to be 24. Refer to Table 5.1 for a sample of the allocated power and distance for NOMA users. Furthermore, we retrieved all NOMA users' distances and powers allocated to them and apply that data on the downlink PD-NOMA system as shown in Figure 5.8. The simulation parameters used are shown in Table 5.2. 5.4.3.1.1 Transmitter In the transmitter, we superimposed the transmitted signals using superposition modulation (SPM) as shown in Figure 5.4. The superimposed signal was as follows: Non-Orthogonal Multiple Access Transmission User Allocation in the Cell 17045 OMA Users Potential NOMA Users NOMA Users -1000 -1000 FIGURE 5.13 User allocation in cells around a base station. TABLE 5.1 A Sample of Allocated Power and Distance for Users Configured as NOMA Users Note: Sig.: Signal; U: Users; F/N: Far/Near; P: Power; and D: Distance. (5.16) Where r2=JP2,F = and P2 are the powers allocated to each user subject to the condition that r2+r2= 1. 5.4.3.1.2 Receiver In the receiver, zero forcing successive interference cancellation (ZF-SIC) is used. At the near user side, we decoded the far user signal first then re-modulated it to remove 5G Wireless Communication System in Healthcare Informatics TABLE 5.2 Simulation Parameters Modulation Scheme Mapper Type QPSK-SPM Channel Rayleigh Fading Iterations Bandwidth 20 MHz Base Cell size Number of Bits Number of Users in Cell 50 Users Channel State Information (CSI) Known MUD Type Zero Forcing Start Deploy Users Randomly in Base Cell Calculate Angle Difference between 2 users Next Pair Angle pi /12 If no pair is found Assign as potential NOMA users Check each user Channel Angle Good Channel Worse Channel pi /12 In a condition Assign Less Power P2 Assign More Power P1 P1 + P2 =1 Power Domain NOMA System FIGURE 5.14 The flow chart of selecting the NOMA users from amongst all potential users shown in Figure 5.13. Non-Orthogonal Multiple Access Transmission its interference using the SIC method to decode the near user, denoted by Snear cessively. At the far user side, we d