DocumentCode :
455255
Title :
Mobility Enhanced Smart Antenna Adaptive Sectoring for Uplink Capacity Maximization in Cdma Cellular Network
Author :
Wang, Alex ; Krishnamurthy, Vikram
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC
Volume :
4
fYear :
2006
fDate :
14-19 May 2006
Abstract :
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
Keywords :
Bayes methods; adaptive antenna arrays; cellular radio; code division multiple access; mobile antennas; radio links; radiofrequency interference; stochastic processes; Bayesian estimator; CDMA cellular network; antenna adaptive sectoring; interference; minimum outage probability; mobiles spatial distribution; mobiles spatial information; mobility enhanced smart antenna; network traffic; shortest path problem; spatial Poisson process; uplink capacity maximization; Adaptive arrays; Bayesian methods; Distributed computing; Interference; Land mobile radio cellular systems; Mobile computing; Multiaccess communication; Shortest path problem; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660953
Filename :
1660953
Link To Document :
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