In this paper, we investigate the resource allocation algorithm design for
multicarrier non-orthogonal multiple access (MC-NOMA) systems. The proposed
algorithm is obtained from the solution of a non-convex optimization problem
for the maximization of the weighted system throughput. We employ monotonic
optimization to develop the optimal joint power and subcarrier allocation
policy. The optimal resource allocation policy serves as a performance
benchmark due to its high complexity. Furthermore, to strike a balance between
computational complexity and optimality, a suboptimal scheme with low
computational complexity is proposed. Our simulation results reveal that the
suboptimal algorithm achieves a close-to-optimal performance and MC-NOMA
employing the proposed resource allocation algorithm provides a substantial
system throughput improvement compared to conventional multicarrier orthogonal
multiple access (MC-OMA).

本文提出了一种基于单调优化的子载波分配策略的资源分配算法，该算法在计算复杂度和性能之间取得了平衡，并对其进行了模拟实验。结果表明，该算法可以显著提高多载波非正交多址接入系统的系统吞吐量。

MC-NOMA 系统的最佳联合功率和子载波分配

Optimal Joint Power and Subcarrier Allocation for MC-NOMA Systems

This paper considers orthogonal frequency division multiple access systems
with simultaneous wireless information and power transfer.
We study the resource allocation algorithm design for maximization of the
energy efficiency of data transmission. In particular, we focus on power
splitting hybrid receivers which are able to split the received signals into
two power streams for concurrent information decoding and energy harvesting.
Two scenarios are investigated considering different power splitting abilities
of the receivers. In the first scenario, we assume receivers which can split
the received power into a continuous set of power streams with arbitrary power
splitting ratios. In the second scenario, we examine receivers which can split
the received power only into a discrete set of power streams with fixed power
splitting ratios. In both scenarios, we formulate the corresponding algorithm
design as a non-convex optimization problem which takes into account the
circuit power consumption, the minimum data rate requirements of delay
constrained services, the minimum required system data rate, and the minimum
amount of power that has to be delivered to the receivers. Subsequently, by
exploiting fractional programming and dual decomposition, suboptimal iterative
resource allocation algorithms are proposed to solve the non-convex problems.
Simulation results illustrate that the proposed iterative resource allocation
algorithms approach the optimal solution within a small number of iterations
and unveil the trade-off between energy efficiency, system capacity, and
wireless power transfer.

本文研究具备同时无线信息和功率传输能力的正交频分多址系统，重点研究分裂接收器的功率分配算法。我们将算法设计为非凸优化问题，并利用分数规划和对偶分解得到了次优迭代资源分配算法，以解决该问题。模拟结果表明，提出的迭代资源分配算法能够在少量迭代次数内接近最优解，并揭示了能量效率、系统容量和无线功率传输之间的权衡。