BER Performance Analysis for Downlink Nonorthogonal Multiple Access With Error Propagation Mitigated Method in Visible Light Communications

A clustering‐based user pairing scheme for downlink 3D non‐orthogonal multiple access‐based visible light communication systems

“…Nevertheless, all users in a pair perform satisfactorily above transmit SNR of about 95 dB. It is noted that the transmit SNR values in this range fall within the typical range of a realistic indoor VLC system 39,40 . We have also presented the average BER performance versus number of users ( ) in a pair in Figure 14 for different values of SNR.…”

“…F I G U R E 1 0 Energy efficiency versus number of users (odd) by Marshoud et al 39 and Cao et al 40 It can be seen from Figure 13 that in spite of its poor channel conditions, user U 1 has better error rate performance as higher power is assigned to it so that it can directly decode its desired signal in the presence of interference received due to other users. On the other hand, the power level allocated to user U 3 experiencing higher channel gain is relatively low.…”

“…F I G U R E 1 2 AUDR versus transmitting SNR (M ¼ 5) system. 39,40 We have also presented the average BER performance versus number of users (K) in a pair in Figure 14 for different values of SNR. It can be observed from the figure that, for a given transmit SNR value, the average BER performance degrades when the number of users within a pair are increased from two to three.…”

“…For the simulation purpose, we have used unipolar on–off keying (OOK) signal with the assumption of perfect knowledge of channel coefficients. The method used for evaluating the error performance of different users has been adopted in the same manner as discussed by Marshoud et al 39 and Cao et al 40 It can be seen from Figure 13 that in spite of its poor channel conditions, user has better error rate performance as higher power is assigned to it so that it can directly decode its desired signal in the presence of interference received due to other users. On the other hand, the power level allocated to user experiencing higher channel gain is relatively low.…”

Enhanced Gain Difference Power Allocation for NOMA-Based Visible Light Communications

“…However, the negative impact of residual user interference on system performance during SIC implementation has not been fully considered in the above literature. In [25], adjustable superposition coding and SIC decoding schemes were proposed to alleviate the influence of error propagation by adjusting the relative bit rate of each user. A convolutional neural network-based demodulator for NOMA-VLC was presented in [26], aiming to achieve joint signal compensation and recovery.…”