Energy Efficiency Trade-off with Spectral Efficiency in MIMO Systems

IF 2 4区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Cmc-computers Materials & Continua Pub Date : 2022-01-01 DOI:10.32604/cmc.2022.020777
Rao Muhammad Asif, M. Shakir, J. Nebhen, Ateeq Ur Rehman, M. Shafiq, Jin-Ghoo Choi
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引用次数: 4

Abstract

: 5G technology can greatly improve spectral efficiency (SE) and throughput of wireless communications.In this regard, multipleinput multiple output (MIMO) technology has become the most influential technology using huge antennas and user equipment (UE). However, the use of MIMO in 5G wireless technology will increase circuit power consumption and reduce energy efficiency (EE). In this regard, this article proposes an optimal solution for weighing SE and throughput tradeoff with energy efficiency. The research work is based on the Wyner model of uplink (UL) and downlink (DL) transmission under the multi-cell model scenario. The SE-EE trade-off is carried out by optimizing the choice of antenna and UEs, while the approximation method based on the logarithmic function is used for optimization. In this paper, we analyzed the combination of UL and DL power consumption models and precoding schemes for all actual circuit power consumption models to optimize the trade-off between EE and throughput. The simulation results show that the SE-EE trade-off has been significantly improved by developing UL and DL transmission models with the approximation method based on logarithmic functions. It is also recognized that the throughput-EE trade-off can be improved by knowing the total actual power consumed by the entire network.
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MIMO系统中能量效率与频谱效率的权衡
5G技术可以大大提高无线通信的频谱效率(SE)和吞吐量。在这方面,多输入多输出(MIMO)技术已经成为使用巨大天线和用户设备(UE)的最具影响力的技术。然而,在5G无线技术中使用MIMO将增加电路功耗并降低能源效率(EE)。在这方面,本文提出了权衡SE和吞吐量与能源效率权衡的最佳解决方案。研究工作基于多小区模型场景下上行(UL)和下行(DL)传输的Wyner模型。通过优化天线和ue的选择来实现SE-EE的权衡,并采用基于对数函数的近似方法进行优化。在本文中,我们分析了UL和DL功耗模型的组合以及所有实际电路功耗模型的预编码方案,以优化EE和吞吐量之间的权衡。仿真结果表明,采用基于对数函数的近似方法建立的UL和DL传输模型显著改善了SE-EE权衡。我们还认识到,通过了解整个网络消耗的总实际功率,可以改进吞吐量- ee权衡。
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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来源期刊
Cmc-computers Materials & Continua
Cmc-computers Materials & Continua 工程技术-材料科学:综合
CiteScore
5.30
自引率
19.40%
发文量
345
审稿时长
1 months
期刊介绍: This journal publishes original research papers in the areas of computer networks, artificial intelligence, big data management, software engineering, multimedia, cyber security, internet of things, materials genome, integrated materials science, data analysis, modeling, and engineering of designing and manufacturing of modern functional and multifunctional materials. Novel high performance computing methods, big data analysis, and artificial intelligence that advance material technologies are especially welcome.
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