Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.contributor | Department of Electronic Engineering | en_US |
| dc.creator | Lee, Chi-ho | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/2509 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Application of dynamic channel allocation strategies to GSM hierarchical cellular network | en_US |
| dcterms.abstract | Dynamic Channel Allocation (DCA) is a popular topic in mobile cellular radio technology developments. In this dissertation, various dynamic channel allocation strategies are studied and their feasibility in application to the GSM hierarchical cellular network is investigated. Simulations are done on two signal strength measurement-based distributed DCA schemes, the Separated Autonomous Reuse Partitioning (SARP) and Hierarchical Autonomous Reuse Partitioning (HARP) schemes. Performance evaluations are also compared with conventional Fixed Channel Allocation (FCA) scheme. Simulation results show that the application of the two schemes in hierarchical cellular network can improve the overall network performance under both uniform and non-uniform traffic loading conditions. These schemes are also less susceptible to temporal traffic loading variations. | en_US |
| dcterms.extent | 97, [16] leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 1999 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Mobile communication systems | en_US |
| dcterms.LCSH | Cellular telephone systems | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b1485403x.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 3.67 MB | Adobe PDF | View/Open |
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