Journal article
Loss Performance Modeling for Hierarchical Heterogeneous Wireless Networks With Speed-Sensitive Call Admission Control
A hierarchical overlay structure is an alternative solution that integrates existing and future heterogeneous wireless networks to provide subscribers with better mobile broadband services. Traffic loss performance in such integrated heterogeneous networks is necessary for an operator's network dimensioning and planning.
This paper investigates the computationally efficient loss performance modeling for multiservice in hierarchical heterogeneous wireless networks. A speed-sensitive call admission control (CAC) scheme is considered in our model to assign overflowed calls to appropriate tiers. This approach avoids unnecessary and frequent handoff between cells and reduces signaling overheads.
An approximation model with guaranteed accuracy and low computational complexity is presented for the loss performance of multiservice traffic. The accuracy of numerical results is validated by comparing the results from the approximation with simulations.
| Language: | English |
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| Publisher: | IEEE |
| Year: | 2011 |
| Pages: | 2209-2223 |
| ISSN: | 19399359 and 00189545 |
| Types: | Journal article |
| DOI: | 10.1109/TVT.2011.2142203 |
Heterogeneous wireless networks Hierarchical networks Mobile traffic management Multiservice Overflow Performance evaluation Quality of service (QoS)
Bandwidth Computational modeling Mathematical model Mobile communication Mobile computing Numerical models Wireless networks approximation model approximation theory computational complexity heterogeneous wireless networks hierarchical networks hierarchical overlay structure integrated heterogeneous networks mobile broadband services mobile traffic management multiservice multiservice traffic overflow performance evaluation quality of service (QoS) signaling overheads speed-sensitive call admission control telecommunication congestion control telecommunication signalling telecommunication traffic traffic loss wireless sensor networks
