Abstract-In non-orthogonal multiple access (NOMA) downlink, multiple data flows are superimposed in the power domain and user decoding is based on successive interference cancellation. NOMA's performance highly depends on the power split among the data flows and the associated power allocation (PA) problem. In this letter, we study NOMA from a fairness standpoint and we investigate PA techniques that ensure fairness for the downlink users under i) instantaneous channel state information (CSI) at the transmitter, and ii) average CSI. Although the formulated problems are non-convex, we have developed lowcomplexity polynomial algorithms that yield the optimal solution in both cases considered.
From a fairness standpoint, the power allocation problem was investigated in REF for both CSI and average CSI at the transmitter side.
Fairness for Non-Orthogonal Multiple Access in 5G Systems
IEEE Signal Processing Letters
IEEE Signal Processing Letters
Mathematics Computer Science