This paper investigates the performance of intelligence reflective surface (IRS)-assisted relay systems. To this end, we quantify the optimal signal-to-noise ratio (SNR) attained by smartly controlling the phase-shifts of impinging electromagnetic waves upon an IRS. Thereby, a tightly approximated cumulative distribution function is derived to probabilistically characterize this optimal SNR. Then, we derive tight approximations/bounds for the achievable rate, outage probability, and average symbol error rate. Monte-Carlo simulations are used to validate our performance analysis. We present numerical results to reveal that the IRS-assisted relay system can boost the performance of end-to-end wireless transmissions.
Please see my presentation report IRS_relay_globecom.pdf for more information (Click here to open: Link Alan_Devkota_presentation.pdf click here)
You can also see my GLOBECOMM 2021 Conference video here (Video : Link presentation_video click here)
Please see my IEEE GLOBECOMM 2021 paper here (Link: Link IEEE Globecomm 2021 click here)
