Interference-Precancelled Pilot Design for LMMSE Channel Estimation of GFDM

TL;DR

This paper introduces a novel pilot design for GFDM that precancels interference during channel estimation, significantly improving accuracy and reducing error rates in high SNR scenarios.

Contribution

It proposes a new interference precancellation pilot design framework for LMMSE channel estimation in GFDM, enhancing estimation accuracy.

Findings

Reduces channel estimation mean square error

Decreases symbol error rate in high SNR conditions

Outperforms conventional pilot design methods

Abstract

Generalized frequency division multiplexing (GFDM) is a promising candidate waveform for next-generation wireless communication systems. However, GFDM channel estimation is still challenging due to the inherent interference. In this paper, we formulate a pilot design framework with linear minimum mean square error (LMMSE) channel estimation for GFDM, and propose a novel pilot design to achieve interference precancellation during pilot generation with the fixed transmit sample values at selected frequency bins. Numerical results demonstrate that the proposed method reduces the channel estimation mean square error and the symbol error rate (SER) in high signal-to-noise ratio (SNR) regions, compared with the conventional methods.