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相关概念视频

Types of Selection01:46

Types of Selection

39.8K
Natural selection influences the frequencies of particular alleles and phenotypes within populations in several different ways. Primarily, natural selection can be directional, stabilizing, or disruptive. Directional selection favors one extreme trait and shifts the population towards that phenotype while selecting against individuals displaying alternate traits. Stabilizing selection favors an intermediate trait with a narrow range of variation. Deviation from the optimal phenotype towards an...
39.8K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

34
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
34
Sampling Theorem01:15

Sampling Theorem

259
In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
259
Testing a Claim about Population Proportion01:24

Testing a Claim about Population Proportion

3.3K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.3K
Frequency-dependent Selection01:21

Frequency-dependent Selection

21.6K
When the fitness of a trait is influenced by how common it is (i.e., its frequency) relative to different traits within a population, this is referred to as frequency-dependent selection. Frequency-dependent selection may occur between species or within a single species. This type of selection can either be positive—with more common phenotypes having higher fitness—or negative, with rarer phenotypes conferring increased fitness.
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相关实验视频

Updated: May 16, 2025

SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware
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SwarmSight: Real-time Tracking of Insect Antenna Movements and Proboscis Extension Reflex Using a Common Preparation and Conventional Hardware

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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
PubMed
概括
此摘要是机器生成的。

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.

关键词:
一个天线天线.二进制salp群算法二进制salp群算法超听证学优化优化方法多用户的MIMO.用户安排时间表.

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相关实验视频

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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.