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Energy-Efficient and Fair Power Allocation Approach for NOMA in Ultra-Dense Heterogeneous Networks

机译:超密集异构网络中NOMA的节能高效功率分配方法

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Non-orthogonal multiple access (NOMA) is considered as a promising candidate for fifth-generation mobile communication systems due to its high spectral efficiency (SE). Many earlier works focused on the power allocation for NOMA to achieve the sum rate maximization. However, the energy efficiency (EE) optimization problem in NOMA systems has not been well studied. In this paper, the EE of a two-tier downlink ultra-dense heterogeneous network (HetNet) with NOMA is studied. The goal is to maximize the EE subject to the constraint of allocated powers for users. To achieve this goal, an optimization problem is formulated which aims to find out the optimal number of users. In order to solve the optimization problem, a fair power allocation approach is proposed. Simulation results show that NOMA has a superior EE performance in comparison with orthogonal frequency division multiple access (OFDMA). Moreover, the fairness of the proposed fair power allocation (FPA) approach exceeds the conventional fractional transmit power allocation (FTPA) approach. At the same time, the optimal number of users can be found out by simulations.
机译:非正交多址(NOMA)由于其高频谱效率(SE)被认为是第五代移动通信系统的有希望的候选者。许多早期的工作都集中在NOMA的功率分配上,以实现总速率的最大化。但是,尚未对NOMA系统中的能效(EE)优化问题进行深入研究。本文研究了具有NOMA的两层下行超密集异构网络(HetNet)的EE。目标是在受限于为用户分配的功率的约束下最大化EE。为了实现此目标,提出了一个优化问题,旨在找出最佳用户数。为了解决优化问题,提出了一种公平的功率分配方法。仿真结果表明,与正交频分多址(OFDMA)相比,NOMA具有更好的EE性能。此外,所提出的公平功率分配(FPA)方法的公平性超过了常规的分数发射功率分配(FTPA)方法。同时,可以通过模拟找出最佳用户数。

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