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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu-Kwong Kwok |
| Copyright Year | 2000 |
| Description | Author affiliation: Dept. of Electr. & Electron. Eng., Hong Kong Univ., Hong Kong (Yu-Kwong Kwok) |
| Abstract | In this paper, we propose a quasi-static approach which, using a powerful Linux/PC cluster, combines the merits of both traditional static and dynamic schemes for the channel assignment problem. The static component of our approach uses a parallel genetic algorithm to generate a suite of representative assignments based on a set of different estimated traffic scenarios. At on-line time, the dynamic component observes the actual traffic requirement and retrieve the representative assignment of the closest scenario from the off-line table. The retrieved assignment is then quickly refined by using a fast parallel local search algorithm. Our extensive simulation experiments have indicated that the proposed quasi-static system outperforms other dynamic channel assignment techniques significantly in terms of both blocking probabilities and computational overhead. |
| Starting Page | 170 |
| Ending Page | 175 |
| File Size | 445403 |
| Page Count | 6 |
| File Format | |
| ISBN | 0769505892 |
| DOI | 10.1109/HPC.2000.846542 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-05-14 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Linux Genetic algorithms Telecommunication traffic Traffic control Mobile communication Bandwidth Channel allocation Resource management Power engineering and energy Clustering algorithms |
| Content Type | Text |
| Resource Type | Article |
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