Landscape-enabled algorithmic design for the cell switch-off problem in 5G ultra-dense networks

IF 2.2 3区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Engineering Optimization Pub Date : 2024-06-19 DOI:10.1080/0305215x.2024.2346936

Jesús Galeano-Brajones, Francisco Luna, Javier Carmona-Murillo, Antonio J. Nebro, Carlos A. Coello Coello, Juan F. Valenzuela-Valdés

引用次数: 0

Abstract

The rapid evolution of mobile communications, remarkably the fifth generation (5G) and research-stage sixth (6G), highlights the need for numerous heterogeneous base stations to meet high demands. ...

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针对 5G 超密集网络中的小区切换问题的支持地形的算法设计

移动通信的快速发展，特别是第五代（5G）和处于研究阶段的第六代（6G），凸显了对大量异构基站的需求，以满足高要求。...

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

Engineering Optimization 管理科学-工程：综合

CiteScore

5.90

自引率

7.40%

发文量

审稿时长

3.5 months

期刊介绍： Engineering Optimization is an interdisciplinary engineering journal which serves the large technical community concerned with quantitative computational methods of optimization, and their application to engineering planning, design, manufacture and operational processes. The policy of the journal treats optimization as any formalized numerical process for improvement. Algorithms for numerical optimization are therefore mainstream for the journal, but equally welcome are papers which use the methods of operations research, decision support, statistical decision theory, systems theory, logical inference, knowledge-based systems, artificial intelligence, information theory and processing, and all methods which can be used in the quantitative modelling of the decision-making process. Innovation in optimization is an essential attribute of all papers but engineering applicability is equally vital. Engineering Optimization aims to cover all disciplines within the engineering community though its main focus is in the areas of environmental, civil, mechanical, aerospace and manufacturing engineering. Papers on both research aspects and practical industrial implementations are welcomed.