Intelligent reflecting surface (IRS) is a promising technology for achieving spectrum and energy efficient wireless networks cost-effectively. While most existing works focus on exploiting IRS to enhance the performance of wireless information transmission (WIT), the high beamforming gain achieved by passive IRS is also appealing for boosting the efficiency of radio-frequency (RF) based wireless power transfer (WPT) and improving its service coverage. Although IRS-aided WPT shares certain similar characteristics with IRS-aided WIT, they also differ significantly in terms of the design objectives, transmitter/receiver architectures and hardware/power constraints, and so on, which thus may lead to distinct solutions in practice. In this paper, we provide a tutorial overview on IRS-aided WPT and its more complicated integrations with WIT, namely IRS-aided simultaneous wireless information and power transfer (SWIPT) and IRS-aided wireless powered communication networks (WPCNs), from the communication and signal processing perspective. In particular, we identify their fundamental challenges in e.g. passive reflection optimization and channel estimation, propose potential solutions and draw useful insights for practical design. Furthermore, we point out important directions worthy of further investigation in future work.
翻译:虽然大多数现有工程侧重于利用IRS提高无线信息传输的性能,以提高无线信息传输的绩效,但被动IRS所取得的高波束成型收益也有助于提高无线电频率无线电源传输的效率并改善其服务覆盖面。尽管IRS援助的WPT与IRS援助的WIT具有某些类似的特征,但它们在设计目标、发射机/接收机结构以及硬件/电力限制等方面也有很大差异,从而可能导致实际中出现不同的解决办法。我们在本文件中对IRS援助的WPT及其与WIT的更复杂的整合,即IRS援助的同步无线信息和电传输(SWIPT)和IRS援助的无线电通信网络(WPCN)进行了指导性概述,并从通信和信号处理角度确定了它们的基本挑战,例如,被动反射和频道估计,提出潜在的解决办法,并为今后的重要工作方向提出有用的见解。此外,我们进一步确定了在被动反射镜反射镜和频道估计方面所面临的根本挑战,提出有价值的未来工作方向。