see later in the simulation section, sum rate is affected by the choice of B. As a preliminary research, we present some results on how the power allocation will affect the sum rate. Numerical Results In this section, we present our simulation results. The total power of the BS is 2 Watts. The number of BS and UE antennas is both equal to 2. The average channel gain for UE n and UE k is 0 and 5 dB, respectively. As for the small B, we choose B = 0.05, while the large B equals 0.65. o = 0.5 in our system. The minimum data rate for UE k is 1 bits/s/Hz. For comparison purposes, we also list the results with precoding as WKW and Rn with identity matrix precoding Rk with identity matrix precoding Rn with proposed precoding Rk with proposed precoding Power for UE n (B = 0.05) Figure 3.1 UE rate with different precoding matrix as Pn increases (B = 0.05). 3 5G NOMA-Enabled Wireless Networks MAXITER = 5 as our iterative precoding algorithm converges very fast. All the results come from 10,000 independent Monte Carlo experiments to ensure the confidence level. Figure 3.1 shows the rates of UE n and UE k as Pn changes, respectively. B is set to 0.05 for error propagation in this case. We can see that the rate of UE n increases when Pn increases, while the rate of UE k decreases when P increases. It is obvious that the rate of a UE increases when its assigned power increases since the SINR increases. We can also see the rate of UE n increases faster than the rate of UE k when their power increase individually. Since UE n is a user with better channel condition, increasing power slightly can increase the rate a lot. Since B is small, the residual interference from UE k does not affect the performance of UE n too much. UE rates are also shown for identity matrix precoding method. The performance of the identity matrix precoding method has a similar trend to the performance of the proposed precoding design, but the identity matrix precoding method does not perform as well as the proposed precoding design. Another note is the ga