Harmonic Inversion Based Posterirori Minimization in HPA for 5G Communication Framework

Abstract

The Number of Android Mobile (Voice, Mobile Data, Internet) users getting increased year by year, But there is a major scarcity of operating frequency for the users. Even though many spectral efficient techniques like OFDMA and NOMA are introduced to manage the spectral scarcity. In 5G communication, various frameworks play a vital role in peer-to-peer communication and cloud-based network frameworks. It required errorless signal transmission to achieve the goal of a high-quality signal. The harmonic cancellation or reduction process is the critical task in the 5G communication application. Post error detection and correction is a highly complex process to reduce harmonic distortions. The real time interference problems due to harmonics still exist. With the introduction of 5G Mobile Communication there is an exponential increase of radiations from communication equipment (BTS, Mobiles) due to massive MIMO antennas, mixers, H-PA (High-Power-Amplifier). To reduce the above effects, a modified V-LMS linearizer has been introduced instead of the conventional non-linear filter methods (N-LMS, RLS). V-LMS not only estimates the gain error (priori) of the HPA, but also introduces very low additive error (posteriori). Look up table (LUT) is used to distribute the digital data to the arithmetic units of V-LMS. High speed operation can able to reduce the complexity of the overall system. Multilevel 2D-LUT can perform much faster in proposed V-LMS algorithm. Digital data process through LUT is used to perform accurate error estimation and it reduce the adaptive error in the proposed V-LMS. The proposed has been executed through the 64-QAM non-linear modulated signal with amplifier operating at 1.89–2.32 GHz.