One of the biggest power consuming devices in wireless communications system is the Power Amplifier
(PA) which amplifies signals non-linearly when operating in real-world systems. The negative effects of
PA non-linearity are energy inefficiency, amplitude and phase distortion. The increases in transmission
speed in present day communication technology introduces Memory Effects, where signal spreading
happens at the PA output, thus causing overhead in signal processing at the receiver side. PA Linearization
is therefore required to counter the non-linearity and Memory Effects. Digital Pre-distortion (DPD) is
one of the outstanding PA Linearization methods in terms of its strengths in implementation simplicity,
bandwidth, efficiency, flexibility and cost. DPD pre-distorts the input signal, using an inversed model
function of the PA. Modelling of the PA is therefore vital in DPD, where the Memory Polynomial
Method (MP) is used to model the PA with memory effects. In this paper, the MP method is improved
in Memory Polynomial using Binomial Reduction method (MPB-imag-2k). The method is simulated
using a modelled ZVE-8G Power Amplifier and sampled 4G (LTE) signals. It was found MPB-imag-2k
is capable of achieving comparable anti-scattering/anti-distortion in MP for non-linearity order of 3,
memory depth of 3 and pre-amplifier gain of 2.