Referenced Items are not available for this document.
In this paper, adaptive sectoring of a CDMA cellular network is investigated, and the aim is to maximize the uplink capacity by utilizing mobiles spatial information. The distribution of mobiles is modeled as a spatial Poisson process, whose rate function quantizes mobiles concentration and which can be inferred with a Bayesian estimator based on network traffic. The time dynamics of the rate function is assumed to evolve according to mobiles mobility pattern and which is formulated using the influence model. With mobiles spatial distribution, the interference and thus the outage probability of different sector partitions of a cell can be computed. The adaptive sectoring problem is formulated as a shortest path problem, and the optimal path corresponds to the sector partition with the minimum outage probability
Published in:
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
(Volume:4
)
Date of Conference: 14-19 May 2006
- Page(s):
- IV
- ISSN :
- 1520-6149
- Print ISBN:
- 1-4244-0469-X
- INSPEC Accession Number:
- 9209418
- Conference Location :
- Toulouse
- Digital Object Identifier :
- 10.1109/ICASSP.2006.1660953
- Product Type:
- Conference Publications
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