Abstract:
In this paper, we derive the data-aided error vector
magnitude (EVM) in an interference limited system when both
the desired channel and interferers experience independent and
nonidentically distributed κ-μ shadowed fading. Then, it is
analytically shown that the EVM is equal to the square root of
number of interferers when the desired channel and interferers
do not experience fading. Furthermore, the EVM is derived in
the presence of interference and noise, when the desired channel
experiences κ-μ 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.
