  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.
