Estimating available bandwidth in mobile networks by correlation coefficient

Takano, Yosuke; Mutoh, Ryoichi; Naoki, Oguchi; Abe, Shunji

doi:10.1109/apnoms.2016.7737275

Search citation statements

Order By: Relevance

Paper Sections

Select...

Determining Hyperparameters2

Related Work1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2017

2022

Publication Types

Select...

Other4

Article1

Relationship

Self Cite0

Independent5

Authors

Journals

Cited by 6 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…( 4) or nonlinear fitting in Eq. (11), respectively. If the decrement is too slow, we gradually increase α 1 or α 2 to learn the unknown parameters more drastically.…”

Section: Determining Hyperparametersmentioning

confidence: 97%

“…The most popular methods estimate bandwidth according to node's voltage level [1][2]10,11]. In general, these methods assume that the grid nodes with the same voltage level (e.g., 220 kV substations) have very close bandwidth demands for uploading data to their upper nodes.…”

Section: Related Workmentioning

confidence: 99%

“…( 6) to find the k key node characteristics, use Eqs. ( 9)- (11) to derive the other unknown parameters in Eqs. ( 7) and ( 8), and use Eqs.…”

Section: Determining Hyperparametersmentioning

confidence: 99%

See 2 more Smart Citations

Fine-Grained Bandwidth Estimation for Smart Grid Communication Network

Luo¹,

Liao²,

Zhang³

et al. 2022

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

“…( 4) or nonlinear fitting in Eq. (11), respectively. If the decrement is too slow, we gradually increase α 1 or α 2 to learn the unknown parameters more drastically.…”

Section: Determining Hyperparametersmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%