On the Performance of IRS-Assisted IoT-NTN With Joint Imperfect Phase Estimation and Quantization
Ali A. Siddig,
Arafat Al-Dweik,
Ashraf Al-Rimawi
et al.
Abstract:Intelligent reflecting surface (IRS)-assisted communications technology is currently considered a key enabler for various wireless applications. The maximum gain of IRS is achieved when the phases of the reflected signals are optimally selected to maximize signal-to-noise ratio (SNR). However, practical hurdles such as imperfect phase estimation and hardware limitations such as phase quantization can reduce the potential gain of the IRS deployment. Internet of Things applications are more vulnerable to such li… Show more
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