no code implementations • 1 Sep 2022 • Wenhao Cai, Ming Li, Qian Liu
Intelligent reflecting surface (IRS) has emerged as a promising and revolutionizing technology for future wireless networks.
no code implementations • 1 Sep 2022 • Wenhao Cai, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Intelligent reflecting surface (IRS) has been widely considered as one of the key enabling techniques for future wireless communication networks owing to its ability of dynamically controlling the phase shift of reflected electromagnetic (EM) waves to construct a favorable propagation environment.
no code implementations • 13 Apr 2022 • Wenhao Cai, Rang Liu, Ming Li, Yang Liu, Qingqing Wu, Qian Liu
Intelligent reflecting surface (IRS) has been regarded as a promising and revolutionary technology for future wireless communication systems owing to its capability of tailoring signal propagation environment in an energy/spectrum/hardware-efficient manner.
no code implementations • 5 Jan 2021 • Wenhao Cai, Rang Liu, Yang Liu, Ming Li, Qian Liu
Therefore, the practical phase shift model, which can describe the difference of IRS phase shift responses for the signals with different frequencies, should be utilized in the IRS optimization for wideband and multi-band systems.
no code implementations • 26 Jul 2020 • Hongyu Li, Wenhao Cai, Yang Liu, Ming Li, Qian Liu, Qingqing Wu
Simulation results demonstrate that the proposed algorithm can offer significant average sum-rate enhancement compared to that achieved using the ideal IRS reflection model, which confirms the importance of the use of the practical model for the design of wideband systems.
no code implementations • 2 Jun 2020 • Wenhao Cai, Hongyu Li, Ming Li, Qian Liu
In this letter, we aim to investigate the phase-amplitude-frequency relationship of the reflected signals and propose a practical model of reflection coefficient for an IRS-aided wideband system.