论文标题

WPCN中智能反射辅助用户合作的吞吐量优化

Throughput Optimization of Intelligent Reflecting Surface Assisted User Cooperation in WPCNs

论文作者

Zheng, Yuan, Bi, Suzhi, Zhang, Ying-Jun Angela, Wang, Hui

论文摘要

智能反射表面(IRS)可以通过使用大量的低成效反射元素有效地提高无线通信系统的能量和光谱效率。在本文中,我们研究了无线电动通信网络(WPCN)中IRS辅助用户合作的吞吐量优化,其中两个WDS收获无线能量并将信息传输到公共混合访问点(HAP)。特别是,两个WDS首先相互交换他们的独立信息,然后形成一个虚拟天线阵列以共同传输到HAP。我们的目标是通过在无线能量和信息传输上共同优化两个WD的传输时间和功率分配以及反映无线能量和信息信号时的被动阵列系数,从而最大程度地提高常见(最小)吞吐量性能。通过与某些现有基准方案进行比较,我们的结果表明,所提出的IRS辅助用户合作方法可以有效地改善WPCN中合作传输的吞吐量性能。

Intelligent reflecting surface (IRS) can effectively enhance the energy and spectral efficiency of wireless communication system through the use of a large number of lowcost passive reflecting elements. In this paper, we investigate throughput optimization of IRS-assisted user cooperation in a wireless powered communication network (WPCN), where the two WDs harvest wireless energy and transmit information to a common hybrid access point (HAP). In particular, the two WDs first exchange their independent information with each other and then form a virtual antenna array to transmit jointly to the HAP. We aim to maximize the common (minimum) throughput performance by jointly optimizing the transmit time and power allocations of the two WDs on wireless energy and information transmissions and the passive array coefficients on reflecting the wireless energy and information signals. By comparing with some existing benchmark schemes, our results show that the proposed IRS-assisted user cooperation method can effectively improve the throughput performance of cooperative transmission in WPCNs.

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