基于NOMA的全双工无人机的无线供电D2D用户能量管理方案

Ishan Budhiraja, Neeraj Kumar, M. Alazab, Sudhanshu Tyagi, S. Tanwar, G. Srivastava
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引用次数: 10

摘要

基于设备对设备(D2D)通信的无人机(UAV)以其机动性扩展了覆盖范围并提高了数据速率。在本文中,我们提出了一种基于NOMA的全双工(FD)无人机的无线供电D2D用户的能量管理方案。在这里,蜂窝发射机(ct)和D2D发射机(ddt)首先从无人机的射频(RF)信号中获取能量。然后,CT使用FD-UAV作为中继与蜂窝接收器(cr)通信。另一方面,DDT使用NOMA与它的两个D2D接收器(ddr)通信。我们将问题化为混合整数非线性规划(MINLP)形式,然后将其分成两个子问题。在第一个子问题中,估计了DMG能量收集(EH)的最优时间分配值,而在第二个子问题中,使用变量变化技术对每个DMG的DDT功率进行优化。最后,提出了时间分配和功率控制的联合方案,以实现最大的能效。数值结果表明,与现有的传统NOMA和正交多址(OMA)方案相比,该方案取得了更好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy management scheme for wireless powered D2D users with NOMA underlaying full duplex UAV
Device-to-Device (D2D) communications underlaying Unmanned aerial vehicle (UAV) with its mobility extend the coverage and improve the data rate. In this paper, we propose an energy management scheme for wireless powered D2D users with NOMA underlaying full-duplex (FD) UAV. Here, the cellular transmitters (CTs) and D2D transmitters (DDTs) first harvest energy from the radio frequency (RF) signals of the UAV. Then, the CT communicates with the cellular receivers (CRs) using the FD-UAV as a relay. On the other hand, DDT communicates with its two D2D receivers (DDRs) using the NOMA. We formulate the problem as a mixed-integer non-linear programming (MINLP) form and then divide it into two sub-problems. In the first sub-problem, an optimal value of time allocation for energy harvesting (EH) for DMG is estimated, whereas, in the second subproblem, the power of DDT in each DMG is optimized using the variable changing technique. Finally, the joint time allocation and power control scheme is proposed to achieve the maximum energy-efficiency (EE). Numerical results demonstrated that the proposed scheme achieves better results as compared to the existing conventional NOMA and orthogonal multiple access (OMA) schemes.
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