2016
DOI: 10.1007/s11036-016-0763-z
|View full text |Cite
|
Sign up to set email alerts
|

Tracking Areas Planning Based on Community Detection in Heterogeneous and Small Cell Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2019
2019

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…The model uses constrained multi-objective optimisation to find a better trade-off between location update signalling and paging signalling. The authors in [29] propose a TA planning algorithm based on community detection, which models the TA planning problem as a community detection problem in complex networks, and applies a cooperative detection based community detection algorithm to give a TA planning scheme. However, when the number of SCs is large, more and more SCs are divided into one TA.…”
Section: Related Workmentioning
confidence: 99%
“…The model uses constrained multi-objective optimisation to find a better trade-off between location update signalling and paging signalling. The authors in [29] propose a TA planning algorithm based on community detection, which models the TA planning problem as a community detection problem in complex networks, and applies a cooperative detection based community detection algorithm to give a TA planning scheme. However, when the number of SCs is large, more and more SCs are divided into one TA.…”
Section: Related Workmentioning
confidence: 99%