Error Vector Magnitude Analysis in Generalized Fading with Co-Channel Interference

TL;DR

This paper derives analytical expressions for Error Vector Magnitude (EVM) in systems with generalized fading and co-channel interference, providing insights into system performance under various fading conditions.

Contribution

It introduces new analytical formulas for EVM in interference-limited systems with $$-shadowed and Nakagami fading, covering multiple fading scenarios.

Findings

EVM equals the square root of the number of interferers in no-fading conditions.

Derived EVM expressions for systems with $$-shadowed fading and Nakagami fading.

Simplified EVM formulas for special cases of fading channels.

Abstract

In this paper, we derive the data-aided Error Vector Magnitude (EVM) in an interference limited system when both the desired signal and interferers experience independent and non identically distributed $\kappa$-$\mu$ shadowed fading. Then it is analytically shown that the EVM is equal to the square root of number of interferers when the desired signal and interferers do not experience fading. Further, EVM is derived in the presence of interference and noise, when the desired signal experiences $\kappa$-$\mu$ shadowed fading and the interferers experience independent and identical Nakagami fading. Moreover, using the properties of the special functions, the derived EVM expressions are also simplified for various special cases.