Abstract
In this paper, we introduce a novel approach for computing the number, location, and transmission powers of wireless base stations in a 2-D urban setup. The new approach utilizes 2-D convolution to extract the supply-demand correlation. Available efficient methods for computing the convolution are then used to substantially reduce the complexity of the solution. The proposed approach enables network designers to choose arbitrary antenna propagation and radio demand patterns using a simple color-coding mechanism. Simulations of the proposed algorithm show its efficiency and flexibility in solving the placement problem. In this paper, we consider only the coverage planning. Consequently, the technique in this paper is useful in networks that operate with time-division multiple-access technology. However, the work can be extended to consider simultaneous coverage and frequency planning.
| Original language | English |
|---|---|
| Pages (from-to) | 3843-3848 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Vehicular Technology |
| Volume | 57 |
| Issue number | 6 |
| DOIs | |
| State | Published - 2008 |
Bibliographical note
Funding Information:Manuscript received February 19, 2007; revised September 14, 2007, December 14, 2007, and January 21, 2008. First published February 15, 2008; current version published November 12, 2008. This work was supported by the King Fahd University of Petroleum and Minerals. The review of this paper was coordinated by Dr. P. Lin.
Keywords
- Base station (BS)
- Cell planning
- Convolution
- Placement
- Wireless communications
ASJC Scopus subject areas
- Automotive Engineering
- Aerospace Engineering
- Applied Mathematics
- Electrical and Electronic Engineering