1994
DOI: 10.1109/5.317084
|View full text |Cite
|
Sign up to set email alerts
|

Microcellular communication systems with hierarchical macrocell overlays: traffic performance models and analysis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
71
0
2

Year Published

1996
1996
2013
2013

Publication Types

Select...
4
4
1

Relationship

0
9

Authors

Journals

citations
Cited by 165 publications
(73 citation statements)
references
References 19 publications
0
71
0
2
Order By: Relevance
“…From classical teletraffic theories, it is well known that the call holding time follows a negative exponential distribution, i.e., the probability that any randomly selected call holding time will end in time duration is (28) where is the average call holding time. The value of can be obtained by (29) is mainly dependent on the mobility of the users, and has no influence on the call duration Therefore (30) Similarly, the value of can be obtained by the following equation:…”
Section: A Methods Imentioning
confidence: 99%
See 1 more Smart Citation
“…From classical teletraffic theories, it is well known that the call holding time follows a negative exponential distribution, i.e., the probability that any randomly selected call holding time will end in time duration is (28) where is the average call holding time. The value of can be obtained by (29) is mainly dependent on the mobility of the users, and has no influence on the call duration Therefore (30) Similarly, the value of can be obtained by the following equation:…”
Section: A Methods Imentioning
confidence: 99%
“…Malyan et al [20] have proposed a model where a mobile is positioned initially at the center of a circular coverage area, and its cell residence time is obtained by using a two-dimensional random walk model. Generally, for the sake of simplicity, in the absence of any proven probability distribution, many authors dealing with the mobility problem have assumed, either explicitly or implicitly, the cell residence time to be an exponentially distributed random variable [21]- [28].…”
Section: Introduction T He Mobility Model Plays An Important Role mentioning
confidence: 99%
“…Rappaport and Lon-Rong Hu [14] studied the concept of layered cells, in which different cells help with the traffic load at various levels. Different parameters like blocking, carried traffic, forced terminations and handoff failures were observed.…”
Section: Related Workmentioning
confidence: 99%
“…While Sanchez Vargas [7], and Lue [8] have assumed cell residence time to be uniformly distributed over the call duration, Nanda [9], Lin, Mohan and Noerpel [10] have taken a general distribution for the cell residence time. For the sake of simplicity, in the absence of any proved probability distribution, many authors dealing with the mobility problem have assumed cell residence time to be an exponentially distributed random variable either explicitly or implicitly [11]- [17].…”
Section: Introductionmentioning
confidence: 99%