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Joint subcarrier assignment and weighted-sum energy-efficient power allocation in multi-carrier uplink NOMA relay networks

机译:多载波上行NOMA中继网络中的联合子载波分配和加权和节能功率分配

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摘要

In this paper, the problem of joint subcarrier assignment and weighted-sum energy-efficient power allocation (J-SA-WSEE-PA) in multi-carrier uplink NOMA relay networks is considered. Specifically, the aim is to assign subcarriers to network users, while maximizing the weighted-sum energy-efficiency, subject to quality-of-service (QoS) constraints. The J-SA-WSEE-PA problem is shown to be non-convex, and thus is computationally-expensive. In turn, it is split into two sub-problems: (1) WSEE maximizing power allocation per subcarrier, and (2) matching-theoretic subcarrier assignment. For the first sub-problem, a low-complexity iterative solution procedure is devised to optimally solve the WSEE-maximizing power allocation problem per subcarrier. As for the second sub-problem, two linear time-complexity stable matching algorithms based on the hospitals-residents matching problem are proposed to assign subcarriers to network users. Simulation results are presented to validate the devised solution procedure and the proposed stable matching algorithms, where it has been shown that they yield comparable network sum energy-efficiency to the J-SA-WSEE-PA scheme, while satisfying QoS constraints, and with lower computational complexity. (C) 2019 Elsevier B.V. All rights reserved.
机译:本文考虑了多载波上行NOMA中继网络中联合子载波分配和加权和节能功率分配(J-SA-WSEE-PA)问题。具体而言,目标是在服从服务质量(QoS)约束的情况下,将子载波分配给网络用户,同时使加权和能效最大化。 J-SA-WSEE-PA问题显示为非凸的,因此在计算上很昂贵。依次将其分为两个子问题:(1)WSEE最大化每个子载波的功率分配,以及(2)匹配理论子载波分配。对于第一个子问题,设计了一种低复杂度的迭代求解程序,以最佳地解决每个子载波的WSEE最大化功率分配问题。对于第二个子问题,提出了两种基于医院-居民匹配问题的线性时间复杂度稳定匹配算法,将子载波分配给网络用户。通过仿真结果验证了所设计的解决方案和所提出的稳定匹配算法的有效性,结果表明,在满足QoS约束的同时,它们可产生与J-SA-WSEE-PA方案相当的网络总和能量效率。计算复杂度。 (C)2019 Elsevier B.V.保留所有权利。

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