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Fixed Channel Assignment and Neural Network Algorithm for Channel Assignment Problem in Cellular Radio Networks
| Content Provider | Scilit |
|---|---|
| Author | Moradi, Omid |
| Copyright Year | 2010 |
| Description | The channel-assignment problem is important in mobile telephone communication. Since the usable range of the frequency spectrum is limited, the optimal channel-assignment problem has become increasingly important. The goal of this problem is to find a channel assignment to requested calls with the minimum number of channels subject to interference constraints between channels. This algorithm consists of: 1) the fixed channel assignment stage; 2) the neural network stage. In the first stage, the calls in a cell determining the lower bound on the total number of channels are assigned channels at regular intervals, then the calls in adjacent six cells are assigned channels by a cluster heuristic method sequentially. In the second stage, the calls in the remaining cells are assigned channels by a binary neural network. The performance is verified through solving well-known benchmark problems. Especially for Sivarajan's benchmark problems, my algorithm first achieves the lower bound solutions in all of the 12 instances. |
| ISSN | 19138989 |
| e-ISSN | 19138997 |
| DOI | 10.5539/cis.v3n4p93 |
| Journal | Computer and Information Science |
| Issue Number | 4 |
| Volume Number | 3 |
| Language | English |
| Publisher | Canadian Center of Science and Education |
| Publisher Date | 2010-10-19 |
| Access Restriction | Open |
| Subject Keyword | Neural Network Algorithm Channel Assignment Assignment Problem |
| Content Type | Text |
| Resource Type | Article |
