稀疏天线阵列毫米波NOMA系统中一种新的基于EO的最优随机波束形成方法

IF 7.5 2区计算机科学 Q1 TELECOMMUNICATIONS

Digital Communications and Networks Pub Date : 2024-10-01 DOI:10.1016/j.dcan.2023.02.010

Fatemeh Asghari Azhiri , Behzad Mozaffari Tazehkand , Reza Abdolee

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引用次数: 0

摘要

毫米波（mmWave）非正交多址（NOMA）随机波束成形技术是一种很有前途的技术，可保证未来几代移动网络的大规模连接和低延迟传输。在本文中，我们介绍了一种具有成本效益和高能效的毫米波 NOMA 系统，该系统利用了发射器中的稀疏天线阵列。我们的分析表明，在基站（BS）中使用低重量、小尺寸的稀疏天线可带来更好的中断概率性能。我们还引入了一种基于均衡优化（EO）的最佳低复杂度算法，以进一步提高中断概率。仿真和分析结果表明，使用最佳波束成形向量的稀疏天线阵列系统在中断概率和总和速率方面优于使用均匀线性阵列的传统系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A novel EO-based optimum random beamforming method in mmWave-NOMA systems with sparse antenna array

Millimeter-wave (mmWave) Non-Orthogonal Multiple Access (NOMA) with random beamforming is a promising technology to guarantee massive connectivity and low latency transmissions of future generations of mobile networks. In this paper, we introduce a cost-effective and energy-efficient mmWave-NOMA system that exploits sparse antenna arrays in the transmitter. Our analysis shows that utilizing low-weight and small-sized sparse antennas in the Base Station (BS) leads to better outage probability performance. We also introduce an optimum low complexity Equilibrium Optimization (EO)-based algorithm to further improve the outage probability. The simulation and analysis results show that the systems equipped with sparse antenna arrays making use of optimum beamforming vectors outperform the conventional systems with uniform linear arrays in terms of outage probability and sum rates.

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来源期刊

Digital Communications and Networks Computer Science-Hardware and Architecture

CiteScore

12.80

自引率

5.10%

发文量

915

审稿时长

30 weeks

期刊介绍： Digital Communications and Networks is a prestigious journal that emphasizes on communication systems and networks. We publish only top-notch original articles and authoritative reviews, which undergo rigorous peer-review. We are proud to announce that all our articles are fully Open Access and can be accessed on ScienceDirect. Our journal is recognized and indexed by eminent databases such as the Science Citation Index Expanded (SCIE) and Scopus. In addition to regular articles, we may also consider exceptional conference papers that have been significantly expanded. Furthermore, we periodically release special issues that focus on specific aspects of the field. In conclusion, Digital Communications and Networks is a leading journal that guarantees exceptional quality and accessibility for researchers and scholars in the field of communication systems and networks.