Name
Abstract | ||
|---|---|---|
Although cell planning techniques have been widely applied, these formulations generally assumed static demand traffic, and either the average or worst case values are used in the design. Further, the impact of user mobility is usually ignored. We use examples to illustrate that better radio resource usage is possible by incorporating the time-varying traffic in the design, and that the user mobility can be similarly converted to multi-period optimization problem. We next formulate the one-dimensional cell planning problem, and demonstrate how it can be converted into a binary linear programming problem before solving for the optimal solution. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/VETECF.2009.5378914 | VTC Fall |
Keywords | Field | DocType |
cell planning techniques,multi-period joint optimization,mobility management (mobile radio),binary linear programming,radio resource usage,linear programming,user mobility,telecommunication network planning,telecommunication traffic,multi-period optimization,time-varying traffic,data mining,optimization,linear program,planning,optimization problem,base stations,indexing terms | Telecommunication network planning,Base station,Mathematical optimization,Binary linear programming,Computer science,Computer network,Real-time computing,Radio resource,Linear programming,Optimization problem | Conference |
ISSN | ISBN | Citations |
1090-3038 E-ISBN : 978-1-4244-2515-0 | 978-1-4244-2515-0 | 1 |
PageRank | References | Authors |
0.34 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| yong huat chew | 1 | 472 | 55.50 |
| Ronghong Mo | 2 | 224 | 13.87 |
| Boon Sain Yeo | 3 | 27 | 7.07 |