# Energy-Efficient Design of IRS-NOMA Networks

arXiv: https://arxiv.org/abs/2009.05344 · HTML: https://mlsanity.com/paper/2009.05344/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 Sep 2020.

## Built on by (most cited first, 4 of 4)

- [Energy-Efficient Design for a NOMA assisted STAR-RIS Network with Deep Reinforcement Learning](https://mlsanity.com/paper/2111.15464/) (2021)
- [IRS-Enhanced Secure Semantic Communication Networks: Cross-Layer and Context-Awared Resource Allocation](https://mlsanity.com/paper/2411.01821/) (2024)
- [Intelligent Trajectory Design for RIS-NOMA aided Multi-robot Communications](https://mlsanity.com/paper/2205.01647/) (2022)
- [IRS-Assisted Lossy Communications Under Correlated Rayleigh Fading: Outage Probability Analysis and Optimization](https://mlsanity.com/paper/2408.06969/) (2024)

## Abstract (arXiv)

Combining intelligent reflecting surface (IRS) and non-orthogonal multiple access (NOMA) is an effective solution to enhance communication coverage and energy efficiency. In this paper, we focus on an IRS-assisted NOMA network and propose an energy-efficient algorithm to yield a good tradeoff between the sum-rate maximization and total power consumption minimization. We aim to maximize the system energy efficiency by jointly optimizing the transmit beamforming at the BS and the reflecting beamforming at the IRS. Specifically, the transmit beamforming and the phases of the low-cost passive elements on the IRS are alternatively optimized until the convergence. Simulation results demonstrate that the proposed algorithm in IRS-NOMA can yield superior performance compared with the conventional OMA-IRS and NOMA with a random phase IRS.