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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zabanoot, Z. Min, G. |
| Copyright Year | 2011 |
| Abstract | The sustained increase in users and the request for advanced services are some of the key motivations for considering the designing of Hierarchical Cellular Networks (HCN). HCN can provide high system capacity, efficient channel utilisation, and an inherent load-balancing capability. In this type of system, calls blocked in a micro cell flow over to an overlay macro cell. In this paper, a two layer macro cell/ micro cell HCN system model is considered. Performance models for micro cells and macro cell are developed through the use of 1-D and 2-D markov process, respectively. In the proposed CAC, the HCN system supports both fast and slow mobility users. The macro cells handle the fast-mobility users while the micro cells serve the slow-mobility users. In the micro cells, a combination of sub-rating, call bounding and handoff queueing schemes have been used, while in the macro cell the call bounding scheme has been used. The results show that the proposed scheme reduces both the dropping probability of handoff calls and the blocking probability of new calls. The effect of sub-rating in the micro cell on the voice quality is also studied, and the results show that the voice quality will degrade when the number of channels sub-rated is increased, and voice quality can be improved by increasing the number of microcells. |
| Starting Page | 1708 |
| Ending Page | 1714 |
| File Size | 353230 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781457721359 |
| DOI | 10.1109/TrustCom.2011.238 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-11-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Macrocell networks Degradation Analytical models Computer architecture Microcell networks Numerical models |
| Content Type | Text |
| Resource Type | Article |
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