一个高效的二进制salp群算法用于多用户MIMO天线系统的用户选择
A Sasikumar1, Logesh Ravi2,3, Malathi Devarajan4
1Department of Data Science and Business Systems, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, 603203, India.
Scientific reports
|May 12, 2025
概括
本研究介绍了一种新的调度方法,用于多用户多输入多输出 (MU-MIMO) 系统,使用二进制的salp swarm算法 (二进制SSA). 它提高了系统吞吐量,并降低了计算复杂性,以提高性能.
科学领域:
- 电气工程 电气工程
- 计算机科学 计算机科学
- 电信 电信服务 电信服务 电信服务
背景情况:
- 多用户多输入多输出 (MU-MIMO) 天线系统正在迅速发展.
- 有效的用户调度对于MU-MIMO系统至关重要,可以在不增加带宽或能源的情况下最大限度地提高收益.
- 对于MU-MIMO来说,现有的调度方法,如贪算法和详尽搜索,在计算上是昂贵的.
研究的目的:
- 为MU-MIMO系统提出一个高效的用户和天线调度机制.
- 通过基于人口的元启发式方法来提高系统总和率和吞吐量.
- 为了解决MU-MIMO用户调度中的计算复杂性挑战.
主要方法:
- 开发了一种使用二进制salp swarm算法 (二进制SSA) 的新型调度方法.
- 应用基于人口的元启发学来建模MU-MIMO用户调度作为二进制决策问题.
- 将二进制SSA与其他算法 (如二进制BA,PSO,SSA和二进制FPA) 的性能进行了比较.
主要成果:
- 拟议的二进制SSA在系统总和率方面明显优于现有的基于人口的模型.
- 与随机搜索和低于最佳的调度方法相比,二进制SSA显示出更高的性能.
- 与二进制BA和二进制FPA相比,二进制SSA表现出更高的融合率和增强的搜索功能.
结论:
- 基于SSA的二进制调度方案为MU-MIMO系统提供了一个计算高效和有效的解决方案.
- 这种方法显著改善了系统总和率和整体性能.
- 这项研究验证了基于人口的元启发式计算在无线通信中复杂的调度问题上的有效性.
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