Fairness for Non-Orthogonal Multiple Access in 5G Systems


In non-orthogonal multiple access (NOMA) downlink, multiple data flows are superimposed in the power domain and user decoding relies on successive interference cancellation. NOMA's performance highly depends on the power split among the info flows and therefore the associated power allocation (PA) drawback. In this letter, we tend to study NOMA from a fairness standpoint and we have a tendency to investigate PA techniques that ensure fairness for the downlink users under i) instantaneous channel state info (CSI) at the transmitter, and ii) average CSI. Although the formulated problems are non-convex, we have developed low-complexity polynomial algorithms that yield the optimal answer in each cases thought of.

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