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Optimal Resource Allocation for Power-Efficient MC-NOMA with Imperfect Channel State Information. (arXiv:1705.05947v1 [cs.IT])
来源于:arXiv
In this paper, we study power-efficient resource allocation for multicarrier
non-orthogonal multiple access (MC-NOMA) systems. The resource allocation
algorithm design is formulated as a non-convex optimization problem which
jointly designs the power allocation, rate allocation, user scheduling, and
successive interference cancellation (SIC) decoding policy for minimizing the
total transmit power. The proposed framework takes into account the
imperfection of channel state information at transmitter (CSIT) and quality of
service (QoS) requirements of users. To facilitate the design of optimal SIC
decoding policy on each subcarrier, we define a channel-to-noise ratio outage
threshold. Subsequently, the considered non-convex optimization problem is
recast as a generalized linear multiplicative programming problem, for which a
globally optimal solution is obtained via employing the branch-and-bound
approach. The optimal resource allocation policy serves as a system performance
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