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In this paper, we study power-efficient resource allocation for multicarriernon-orthogonal multiple access (MC-NOMA) systems. The resource allocationalgorithm design is formulated as a non-convex optimization problem whichjointly designs the power allocation, rate allocation, user scheduling, andsuccessive interference cancellation (SIC) decoding policy for minimizing thetotal transmit power. The proposed framework takes into account theimperfection of channel state information at transmitter (CSIT) and quality ofservice (QoS) requirements of users. To facilitate the design of optimal SICdecoding policy on each subcarrier, we define a channel-to-noise ratio outagethreshold. Subsequently, the considered non-convex optimization problem isrecast as a generalized linear multiplicative programming problem, for which aglobally optimal solution is obtained via employing the branch-and-boundapproach. The optimal resource allocation policy serves as a system performancebenchmark due to its high computational complexity. To strike a balance betweensystem performance and computational complexity, we propose a suboptimaliterative resource allocation algorithm based on difference of convexprogramming. Simulation results demonstrate that the suboptimal scheme achievesa close-to-optimal performance. Also, both proposed schemes provide significanttransmit power savings than that of conventional orthogonal multiple access(OMA) schemes.

Optimal Resource Allocation for Power-Efficient MC-NOMA with Imperfect Channel State Information