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6G 部署场景下协作 OMA 和 NOMA 系统的性能评估。

Performance Evaluation of Cooperative OMA and NOMA Systems in 6G Deployment Scenarios.

机构信息

School of Electronics and Electrical Engineering, Lovely Professional University, Phagwara 144001, Punjab, India.

Department of Computer Science and Engineering, Thapar Institute of Engineering & Technology, Patiala 147004, Punjab, India.

出版信息

Sensors (Basel). 2022 May 24;22(11):3986. doi: 10.3390/s22113986.

DOI:10.3390/s22113986
PMID:35684607
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9182818/
Abstract

Optimization of the energy efficiency, fairness, and rates of the system is a vital part of communication systems. Multiple access techniques have a huge potential to enhance such performance parameters. This paper studies the performance of NOMA and OMA systems in a singular cell environment, where the cellular users are distributed randomly, and cooperative relays are considered for better system reliability. The relay nodes forward the signals to the cell-edge users. This paper considers a practical scenario where all the relay equipment is distributed with non-uniform battery power levels. The performance of OMA and NOMA schemes is compared based on the key performance indicators: sum rate, fairness, and energy efficiency. The fairness factor determines fairness in the allocation of resources to all the system's users. The performance of the two schemes is assessed in three deployment scenarios: urban, suburban, and rural scenarios. Through numerical results, it is proved that the performance of the NOMA dominates the OMA scheme.

摘要

优化系统的能效、公平性和速率是通信系统的重要组成部分。多址接入技术具有显著提高这些性能参数的潜力。本文研究了在单个小区环境中 NOMA 和 OMA 系统的性能,其中小区用户随机分布,并考虑协作中继以提高系统可靠性。中继节点将信号转发到小区边缘用户。本文考虑了一种实际场景,其中所有中继设备的电池电量分布不均匀。基于关键性能指标:和速率、公平性和能效,对 OMA 和 NOMA 方案的性能进行了比较。公平因子决定了资源分配给所有系统用户的公平性。在三种部署场景:城市、郊区和农村场景中,对两种方案的性能进行了评估。通过数值结果证明了 NOMA 方案的性能优于 OMA 方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360f/9182818/54de49132fa8/sensors-22-03986-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360f/9182818/8f44147ce29a/sensors-22-03986-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360f/9182818/2f2466b4cbeb/sensors-22-03986-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360f/9182818/36136c6e5015/sensors-22-03986-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360f/9182818/54de49132fa8/sensors-22-03986-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360f/9182818/8f44147ce29a/sensors-22-03986-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360f/9182818/2f2466b4cbeb/sensors-22-03986-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360f/9182818/36136c6e5015/sensors-22-03986-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/360f/9182818/54de49132fa8/sensors-22-03986-g004.jpg

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