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Spectral-energy efficiency maximization for wireless powered low-latency NOMA systems with full-duplex relaying

机译:具有全双工中继的无线动力低延迟NOMA系统的光谱能效最大化

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This paper investigates a wireless powered communication system, where a base station (BS) and relay first harvest energy from the power beacon and use it for data transmission. Using non-orthogonal multiple access (NOMA), the BS delivers the messages to two NOMA users via a full-duplex (FD) relay to realize low-latency communication. As two important metrics in fifth-generation communication systems, spectral and energy efficiency are jointly analyzed in this paper. Under quality of service (QoS) requirement of two NOMA users and power constraints at the BS and relay, beamforming and time allocation ratio are jointly optimized so as to maximize sum data rate and energy efficiency of system. The formulated problems are hard to be solved directly due to its non-concave objective and non-convex constraints. To tackle these, one-dimensional search and path-following-based algorithms are proposed, which can iteratively obtain improved objectives with convergence guaranteed. With fast convergence and insensitivity to problem size, the proposed algorithm can reach at least local optimum. Numerical results verify the advantages of the proposed algorithms and the superiority of the proposed scheme.
机译:本文研究了无线供电的通信系统,其中基站(BS)和从电源标识中继第一收获能量并将其用于数据传输。使用非正交多次访问(NOMA),BS通过全双工(FD)继电器将消息传递给两个NOMA用户,以实现低延迟通信。作为第五代通信系统中的两个重要指标,本文共同分析了光谱和能量效率。在服务质量(QoS)的质量下,两个NOMA用户和BS和继电器的功率约束,波束成形和时间分配比率共同优化,以最大化系统的总数据速率和能量效率。由于其非凹形物镜和非凸起约束,因此难以直接解决配方的问题。为了解决这些,提出了一维搜索和基于路径之后的算法,其可以迭代地获得有收敛保证的改进的目标。随着对问题大小的快速收敛和不敏感,所提出的算法可以达到至少局部最佳最优。数值结果验证了所提出的算法的优点以及所提出的方案的优越性。

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