在大规模MIMO系统中,对于频谱和能源效率权衡的决策过程中的帕雷托阵线转型
Eni Haxhiraj1, Desar Shahu1, Elson Agastra1
1Faculty of Information Technology, Polytechnic University of Tirana, 1001 Tirana, Albania.
Sensors (Basel, Switzerland)
|March 17, 2025
概括
本研究介绍了一种Box-Cox转换方法,以改善大规模MIMO系统中的多目标决策. 它通过将复杂的帕雷托阵线转化为形图来提高光谱和能源效率的选择,以获得更好的算法性能.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 优化理论 优化理论
背景情况:
- 大规模的MIMO系统面临的是光谱效率和能源效率之间的权衡.
- 从帕雷托正面选择最佳解决方案是具有挑战性的,因为复杂的,非形状.
- 现有的多标准决策 (MCDM) 算法可以在非面上表现出选择偏差.
研究的目的:
- 在大规模MIMO光谱能效优化中,提出一种用于从帕雷托阵线中选择单一最佳解决方案的新方法.
- 通过转换非空的帕雷托前线来解决MCDM算法的选择偏差.
- 为了比较不同的MCDM算法在帕雷托前线转换后的性能.
主要方法:
- 使用lambda (λ) < 1 的Box-Cox转换来重塑帕雷托前面.
- 实施和比较四个MCDM算法:SAW,TOPSIS,PROMETHEE和VIKOR. 这四个算法的实现和比较.
- 在各种目标权重值和规范化技术 (Max-Min) 中评估算法性能.
主要成果:
- 盒子-考克斯转换有效地将复杂的帕雷托前线转换为形图形,减轻选择偏差.
- 确定了0的最佳Box-Cox转换参数 (λ).
- 维科尔,SAW和TOPSIS (具有Max-Min正常化) 在充分探索转变的帕雷托前线方面表现出卓越的表现.
结论:
- 盒子-Cox转换是一种可行的技术,用于在大规模MIMO光谱能效优化中改进MCDM.
- 这种方法提高了从复杂的权衡前线中选择最佳解决方案的可靠性.
- 对于全面的帕雷托前线勘探,建议使用VIKOR和SAW/TOPSIS与Max-Min正常化.
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