# Interference Management via Space and Frequency Domain Resource   Partitioning

**Authors:** Yinan Qi, David M. Gutierrez-Estevez, Mehrdad Shariat, Milos Tesanovic, and Maziar Nekovee

arXiv: 1803.02752 · 2018-03-08

## TL;DR

This paper proposes a novel resource partitioning scheme combining space and frequency domain techniques to support FQAM modulation, significantly improving cell edge user performance in interference-heavy 5G scenarios.

## Contribution

It introduces a new resource partitioning method using space and frequency division to enhance FQAM performance in interference-intensive environments.

## Key findings

- Significant performance improvements over regular QAM.
- Effective interference management via space and frequency partitioning.
- Enhanced data rates for cell edge users.

## Abstract

One key requirement for the fifth-Generation (5G) mobile system is the enhancement of cell edge user performance to ensure that every user is supported with consistent experience anywhere in the network. An active interference design to improve anywhere performance, particularly in the low SINR regime, can be achieved by applying a recently proposed new type of modulation scheme, frequency quadrature-amplitude modulation (FQAM), which could change the distribution of interference and therefore improve channel capacity. In this paper, a resource partitioning scheme to support FQAM in interference intensive scenarios is proposed. The proposed scheme slices radio resources into orthogonal parts for QAM and FQAM, respectively, along two different resource dimensions, namely, space and frequency. This can be achieved by incorporating advanced beamforming algorithms, e.g., full-dimension (FD-MIMO), and performing a frequency-based split of FQAM resources to effectively improve the data rate of the edge users experiencing heavy interference. Two resource partitioning mechanisms are proposed followed by complexity analysis. Evaluation results on both space and frequency-based FQAM interference management are presented, showing significant performance improvements when compared to the regular QAM modulation.

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Source: https://tomesphere.com/paper/1803.02752