# Energy Efficiency of RSMA and NOMA in Cellular-Connected mmWave UAV   Networks

**Authors:** Ali Rahmati, Yavuz Yap{\i}c{\i}, Nadisanka Rupasinghe, Ismail Guvenc,, Huaiyu Dai, Arupjyoti Bhuyany

arXiv: 1902.04721 · 2019-02-14

## TL;DR

This paper compares the energy efficiency of RSMA and NOMA schemes in cellular-connected mmWave UAV networks, showing RSMA's superiority through optimized precoding considering realistic antenna patterns.

## Contribution

It introduces and evaluates RSMA and NOMA schemes for UAV networks, optimizing precoding with 3GPP antenna patterns, and demonstrates RSMA's energy efficiency advantage.

## Key findings

- RSMA outperforms NOMA in energy efficiency.
- Optimized precoding enhances scheme performance.
- Realistic antenna modeling improves evaluation accuracy.

## Abstract

Cellular-connected unmanned aerial vehicles (UAVs) are recently getting significant attention due to various practical use cases, e.g., surveillance, data gathering, purchase delivery, among other applications. Since UAVs are low power nodes, energy and spectral efficient communication is of paramount importance. To that end, multiple access (MA) schemes can play an important role in achieving high energy efficiency and spectral efficiency. In this work, we introduce rate-splitting MA (RSMA) and non-orthogonal MA (NOMA) schemes in a cellular-connected UAV network. In particular, we investigate the energy efficiency of the RSMA and NOMA schemes in a millimeter wave (mmWave) downlink transmission scenario. Furthermore, we optimize precoding vectors of both the schemes by explicitly taking into account the 3GPP antenna propagation patterns. The numerical results for this realistic transmission scheme indicate that RSMA is superior to NOMA in terms of overall energy efficiency.

## Full text

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## Figures

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## References

19 references — full list in the complete paper: https://tomesphere.com/paper/1902.04721/full.md

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Source: https://tomesphere.com/paper/1902.04721