Generalized Polarization Transform: A Novel Coded Transmission Paradigm

TL;DR

The paper introduces the generalized polarization transform (GPT), a new wireless transmission paradigm for 6G that integrates coding, modulation, and multiple access to significantly enhance spectrum efficiency.

Contribution

It proposes the GPT framework as a novel integrated air interface design, enabling joint optimization of key components for improved spectral efficiency in future wireless networks.

Findings

GPT achieves higher spectrum efficiency than traditional designs.

Joint optimization of air interface components yields substantial performance gains.

The paradigm offers new insights for 6G wireless system design.

Abstract

For the upcoming 6G wireless networks, a new wave of applications and services will demand ultra-high data rates and reliability. To this end, future wireless systems are expected to pave the way for entirely new fundamental air interface technologies to attain a breakthrough in spectrum efficiency (SE). This article discusses a new paradigm, named generalized polarization transform (GPT), to achieve an integrated design of coding, modulation, multi-antenna, multiple access, etc., in a real sense. The GPT enabled air interface develops far-reaching insights that the joint optimization of critical air interface ingredients can achieve remarkable gains on SE compared with the state-of-the-art module-stacking design.