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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ohatkar, S.N. Bormane, D.S. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electron., Univ. of Pune, Pune, India (Ohatkar, S.N.; Bormane, D.S.) |
| Abstract | For today's wireless mobile communication systems, efficient use of limited radio spectrum with minimum interferences is required. Minimizing call-blocking probability may raise the interferences, which may increase call dropping probability. Channel assignment schemes i.e. Fixed, Dynamic and Hybrid are used to allocate channels to cells in order to minimize call blocking and call dropping probability. The analytical investigation of these schemes when compared shows Hybrid Channel Allocation(HCA) has less call blocking and less interfering edges with Graph theory-node coloring algorithm. The proposed Genetic Algorithm(GA) approach performs better with HCA in reducing interfering edges, less calls are blocked and less S/I ratio than analytical results with Graph theory. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 139383 |
| Page Count | 5 |
| File Format | |
| ISSN | 21517703 |
| e-ISBN | 9781479931569 |
| DOI | 10.1109/WOCN.2014.6923084 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-09-11 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless communication Base stations channel allocation Techniques node coloring algorithm Cellular Network Interference Channel allocation Mobile communication Graph theory Genetic Algorithm (GA) Interference graph Genetic algorithms |
| Content Type | Text |
| Resource Type | Article |
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