On the Performance of IRS-Assisted IoT-NTN With Joint Imperfect Phase Estimation and Quantization

On the Performance of IRS-Assisted IoT-NTN With Joint Imperfect Phase Estimation and Quantization

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, pract...

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Bibliographic Details
Main Authors: Ali A. Siddig, Arafat Al-Dweik, Ashraf Al-Rimawi, Youssef Iraqi, Anshul Pandey, Jean-Pierre Giacalone
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Sixth generation (6G)
Intelligent reflecting surface (IRS)
imperfect phase
discrete phase noise
quantization
symbol error rate (SER)
Online Access:https://ieeexplore.ieee.org/document/10368053/

Internet

https://ieeexplore.ieee.org/document/10368053/

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