A New Technique for Improving Energy Efficiency in 5G Mm-wave Hybrid Precoding Systems

TL;DR

This paper introduces a novel alternating minimization approach to optimize energy efficiency in 5G mm-wave hybrid precoding systems, significantly improving power savings for both connected and partially connected structures.

Contribution

It proposes a new algorithmic framework for hybrid precoding that reduces complexity and enhances energy efficiency in 5G mm-wave systems.

Findings

Energy-saving ratio increased by 45.3% for PCS

Energy-saving ratio increased by 18.12% for CCS

Improved hybrid precoding performance through advanced phase extraction

Abstract

In this article, we present a new approach to optimizing the energy efficiency of the cost-efficiency of quantized hybrid pre-encoding (HP) design. We present effective alternating minimization algorithms (AMA) based on the zero gradient method to produce completely connected structures (CCSs) and partially connected structures (PCSs). Alternative minimization algorithms offer lower complexity by introducing orthogonal constraints on digital pre-codes to concurrently maximize computing complexity and communication power. As a result, by improving CCS through advanced phase extraction, the alternating minimization technique enhances hybrid pre-encoding. For PCS, the energy-saving ratio grew by 45.3 %, while for CCS, it increased by 18.12 %.