无线网络中的智能反射面辅助传输优化策略

Xinxin He, Qi Xuan, Meng Wei, Liu Wei, Changchuan Yin
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引用次数: 0

摘要

无线电力传输(WPT)技术可通过毫米波(mmWave)为物联网(IoT)中的许多终端设备提供实时电力,以支持大容量、低延迟的应用。虽然可以采用智能反射面(IRS)创建有效的虚拟链路来解决毫米波阻塞问题,但传统解决方案仅在从基站(BS)到用户的下行链路中采用 IRS 来增强接收信号强度。实际上,IRS 的反射也适用于上行链路,以提高频谱效率。如何联合优化 IRS 波束成形和系统资源分配以实现无线能量采集和信息传输是一项挑战。在本文中,我们首先设计了一种用于聚类和数据采集的低能量自适应聚类层次(LEACH)聚类协议。然后,通过联合优化传感器设备的发射功率、上行和下行传输时间、BS 的主动波束成形和 IRS 动态波束成形,构建了最小系统频谱效率最大化问题。为了解决这个非凸优化问题,我们提出了一种基于交替优化(AO)的联合求解算法。仿真结果表明,使用 IRS 动态波束成形可以显著提高系统的频谱效率,并确保设备通信的可靠性和无线路故障链路下能源供应的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent reflecting surface assisted transmission optimization strategies in wireless networks
Wireless Power Transfer (WPT) technology can provide real-time power for many terminal devices in Internet of Things (IoT) through millimeter Wave (mmWave) to support applications with large capacity and low latency. Although the intelligent reflecting surface (IRS) can be adopted to create effective virtual links to address the mmWave blockage problem, the conventional solutions only adopt IRS in the downlink from the Base Station (BS) to the users to enhance the received signal strength. In practice, the reflection of IRS is also applicable to the uplink to improve the spectral efficiency. It is a challenging to jointly optimize IRS beamforming and system resource allocation for wireless energy acquisition and information transmission. In this paper, we first design a Low-Energy Adaptive Clustering Hierarchy (LEACH) clustering protocol for clustering and data collection. Then, the problem of maximizing the minimum system spectral efficiency is constructed by jointly optimizing the transmit power of sensor devices, the uplink and downlink transmission times, the active beamforming at the BS, and the IRS dynamic beamforming. To solve this non-convex optimization problem, we propose an alternating optimization (AO)-based joint solution algorithm. Simulation results show that the use of IRS dynamic beamforming can significantly improve the spectral efficiency of the system, and ensure the reliability of equipment communication and the sustainability of energy supply under NLOS link.
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