2004
DOI: 10.1016/j.comcom.2003.12.003
|View full text |Cite
|
Sign up to set email alerts
|

Probability criterion paging area planning in future mobile communications systems

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2006
2006
2011
2011

Publication Types

Select...
3
1

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 8 publications
0
3
0
Order By: Relevance
“…Therefore, the problem is analogous to that presented in Ref. 14 and analytically solvable as it is shown in Appendix III. However, this analytical model presents two main problems: high complexity, since it would require a matrix exponentiation (which implies a matrix diagonalization) at each paging, and its restricted use, as it is only applicable if the dwell time follows an exponential distribution, when it has been shown that other distributions (Gamma, Weibull, Pareto, Lognormal) better fit this variable 15.…”
Section: Paging Algorithmsmentioning
confidence: 97%
See 2 more Smart Citations
“…Therefore, the problem is analogous to that presented in Ref. 14 and analytically solvable as it is shown in Appendix III. However, this analytical model presents two main problems: high complexity, since it would require a matrix exponentiation (which implies a matrix diagonalization) at each paging, and its restricted use, as it is only applicable if the dwell time follows an exponential distribution, when it has been shown that other distributions (Gamma, Weibull, Pareto, Lognormal) better fit this variable 15.…”
Section: Paging Algorithmsmentioning
confidence: 97%
“…One of the key problems 3 to implement any of these approaches lies in obtaining the values for the probabilities for all of the PAs in the macro‐area of a specific user r . A first possibility is to define an analytical model 14 where, when a search must be performed, given a particular macro‐LA and a time since the last location update, taking advantage of the transition probabilities between LAs obtained in the training period, and the statistics of the time spent at each of these LAs (dwell time), these probabilities can be obtained. A second possibility to obtain these probabilities, more general and with lower complexity, lies in developing a training mechanism based on observation as it is explained below.…”
Section: Paging Algorithmsmentioning
confidence: 99%
See 1 more Smart Citation