Frequency and Quadrature Amplitude Modulation for 5G Networks

TL;DR

This paper explores Frequency Quadrature Amplitude Modulation (FQAM) for 5G networks, demonstrating its advantages over traditional QAM in reducing interference and improving signal quality at cell edges through simulations and stochastic geometry analysis.

Contribution

It investigates FQAM detection, analyzes noise and interference, and compares its performance with QAM in multi-cell 5G scenarios, highlighting its benefits in high interference conditions.

Findings

FQAM reduces inter-cell interference at cell edges.

FQAM achieves lower BER and FER than QAM under high interference.

FQAM provides better SINR than QAM in multi-cell networks.

Abstract

The emerging fifth generation (5G) wireless access network, aiming at providing ubiquitous and high data rate connectivity, is envisaged to deploy large number of base stations with higher density and smaller sizes, where inter-cell interference (ICI) becomes a critical problem. Frequency quadrature amplitude modulation (FQAM) has been shown to reduce the ICI at the cell edge therefore achieve a higher transmission rate for cell edge users. This paper investigates the detection of FQAM symbols and noise plus ICI in a multi-cell FQAM communication network. Turbo-coded bit error rate (BER) and frame error rate (FER) of multi-cell FQAM are studied. Also, the cumulative distribution function (CDF) of signal to noise plus interference (SINR) of multi-cell FQAM is computed using stochastic geometry. It is demonstrated via simulations FQAM outperforms quadrature amplitude modulation (QAM) in BER and FER when ICI is significant. Furthermore, FQAM can achieve better SINR than QAM.