Performance Characterization of an IRS-assisted OFDM System with HPA
Memory Effects and IRS Phase Noise
Abstract
In the realm of forthcoming wireless communication systems,
various technologies have emerged, with intelligent reflective surfaces
(IRSs) standing out as a promising contender for enhancing spectral and
energy efficiency. The effectiveness of such systems is significantly
influenced by the nonlinear characteristics inherent in their
components. This study examines the collective impact of nonlinearity
stemming from memory effects in high-power amplifiers (HPAs) and phase
noise at IRS on an orthogonal frequency division multiplexing (OFDM)
signal, aiming to assess the performance of a communication system
augmented by IRS. This work presents mathematical expressions for
determining the outage probability (OP), spectral efficiency (SE), and
energy efficiency (EE) in an OFDM communication system aided by an IRS,
considering the effects of non-ideal HPA and phase noise in the IRS. We
validate our analytical results through comparison with simulations,
confirming the accuracy of our approach. Our findings highlight the
significant impact of HPA nonlinearity and IRS phase noise on the
performance of an OFDM communication system assisted by an IRS.
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