用搜索优化算法增强第五代无线通信

IF 1.7 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Mohammed Jawad Al-Dujaili, H. Alrikabi, Ghanim A. Al-Rubaye, Ibtihal Razaq Niama ALRubeei
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引用次数: 0

摘要

第五代蜂窝网络(5G)正在快速扩张,能源效率(EE)是讨论的热门话题。已经发现,EE和最大光谱效率(SE)都是需要的。它们是相互冲突的目标,这意味着最大化一个目标会减少另一个目标。为了解决这个问题,已经提出了频谱和能量优化策略,以及旨在最大限度地减少SE和EE之间权衡的绿色通信计划。开展了面向电子电气的资源分配研究,以减少能源使用,同时确保高质量的结果。为此,使用了乌鸦搜索优化算法(CSA)。仿真结果表明,该方法能有效地找到最合适的解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancement of the Fifth Generation of Wireless Communication by Using a Search Optimization Algorithm
The fifth generation of cellular networks (5G) is seeing a rapid expansion, and energy efficiency (EE) is a hot topic of discussion. It has been found that both EE and maximum spectral efficiency (SE) are desired. They are conflicting objectives, meaning that maximizing one will decrease the other. To tackle this issue, strategies for spectrum and energy optimization have been proposed, as well as green communication plans that aim to minimize the tradeoff between SE and EE. Research has been conducted on EE-oriented resource allocations to reduce energy usage while ensuring high-quality results. To do this, the Crow Search Optimization Algorithm (CSA) has been used. Simulation results have demonstrated that this proposed method is effective in finding the most suitable solution.
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来源期刊
CiteScore
4.00
自引率
46.20%
发文量
143
审稿时长
12 weeks
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