Fairness for Non-Orthogonal Multiple Access in 5G Systems

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 low-complexity polynomial algorithms that yield the optimal solution in both cases considered.

5 pages, 3 Figures, accepted in IEEE Signal Processing Letters

References in corpus (1)

• On the Performance of Non-Orthogonal Multiple Access in 5G Systems with Randomly Deployed Users

Cited by in corpus (5)

• Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges
• On Optimal Power Allocation for Downlink Non-Orthogonal Multiple Access Systems
• A Tutorial on Nonorthogonal Multiple Access for 5G and Beyond
• Secure Users Oriented Downlink MISO NOMA
• Joint Interleaver and Modulation Design For Multi-User SWIPT-NOMA