Optimal Throughput Fairness Tradeoffs for Downlink Non-Orthogonal Multiple Access Over Fading Channels - 2018


Recently, non-orthogonal multiple access (NOMA) has attracted considerable interest jointly of the 5G-enabling techniques. However, the users with better channel conditions in downlink communications intrinsically profit additional from NOMA than the users with worse channel conditions thanks to successive decoding, judicious styles are needed to guarantee user fairness. During this Project, a two-user downlink NOMA system over fading channels is taken into account. For delay-tolerant transmission, the average sum rate is maximized subject to each average and peak-power constraints as well in any case average user rate constraint. The optimal resource allocation is obtained using the Lagrangian dual decomposition underneath full channel state information at the transmitter (CSIT), while a good power allocation policy below partial CSIT is also developed based on analytical results. In parallel, for delay-restricted transmission, the sum of delay-restricted throughput (DLT) is maximized subject to a most allowable user outage constraint underneath full CSIT, and also the analysis for the add of DLT is additionally performed below partial CSIT. Furthermore, an optimal orthogonal multiple access (OMA) scheme is additionally studied as a benchmark to prove the prevalence of NOMA over OMA beneath full CSIT. Finally, the theoretical analysis is verified by simulations via different tradeoffs for the typical total rate (add-DLT) versus the minimum (maximum) average user rate (outage) demand.

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