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Performance Tradeoff between User Fairness and Energy Conservation in Downlink NOMA Systems

机译：下行链路NOMA系统用户公平与节能之间的性能权衡

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摘要

Non-orthogonal multiple access (NOMA) has been recognized as an efficient means to boost the spectral utilization and increase the number of connections for the next generation mobile communications systems. User fairness is a crucial performance metric in the design of downlink NOMA systems, but its optimum is reaped at the cost of excessive power consumption. In this paper, we study the performance tradeoff between user fairness and energy conservation by means of power allocation, and we formulate the problem as a bi-objective optimization. To obtain the complete Pareto optimal solutions, we transfer the above bi-objective optimization into a single-objective one using the weighted Tchebycheff method and solve the resulting non-convex optimization with the generalized Benders decomposition. In addition, we investigate several important properties of the proposed mechanism, including the convergence, computational complexity, and applicability to the case with imperfect successive interference cancellation. Based on the Monte Carlo simulations, we validate the necessity of conducting the tradeoff optimization and the efficiency of the proposed mechanism.
机译：非正交多次访问（NOMA）被识别为提升光谱利用率的有效方法，并增加下一代移动通信系统的连接数。用户公平是在下行链路NOMM系统设计中的关键性能度量，但其最佳的功耗的成本可获得。在本文中，我们通过权力分配研究了用户公平和节能之间的性能权衡，我们将问题作为双客观优化。为了获得完整的Paroto最佳解决方案，我们使用加权Tchebycheff方法将上述双目标优化转换为单个物镜，并通过广义弯曲分解来解决所得到的非凸优化。此外，我们还研究了所提出的机制的几个重要属性，包括富有不完美的干扰取消的情况下的收敛，计算复杂性和适用性。基于蒙特卡罗模拟，我们验证了进行权衡优化的必要性以及所提出的机制的效率。

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