科研之友
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摘要
The nondeterministic nature of ambient signals results in unpredictable spectrum and energy opportunities. The shortage of transmission opportunities and energy supply brings a great challenge in designing the multiple access scheme in backscatter communication networks. A phased optimization algorithm is proposed to maximize the balanced spectrum and energy efficiency for the multicarrier non-orthogonal multiple access (MC-NOMA) enhanced backscatter networks. However, the formulated problem is non-convex, which is computationally difficult to solve. Hence, the optimization problem is further divided into two sub-problems, i.e. the subcarrier allocation and the reflection coefficient optimization. Based on the Gale-Shapley matching theory, a many-to-one matching algorithm is proposed to obtain the optimal subcarrier allocation. Then, the reflection coefficient optimization is solved with the convex optimization theory. The simulation results show that the spectrum and energy efficiency can be significantly improved by the proposed optimization scheme, compared to the dynamic MC-NOMA scheme (D-NOMA) and the orthogonal multiple access scheme (OMA).
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