DocumentCode :
433706
Title :
Locality-based techniques for computationally simplifying wireless network optimization [cellular network design]
Author :
Jin, R. Kang-Xing ; Arnold, Jeffrey Brian ; Abusch-Magder, David
Author_Institution :
Wireless Technol. Lab, Lucent Technol. Bell Labs., Murray Hill, NJ, USA
Volume :
3
fYear :
2005
fDate :
13-17 March 2005
Firstpage :
1786
Abstract :
As wireless networks grow and mature, service providers must develop increasingly sophisticated computational tools for effectively modeling and optimizing their networks. We investigate a flexible method for simplifying the simulation of large-scale wireless networks while maintaining simulation accuracy. The approach we discuss leverages principles of locality common to wireless networks and thus can support a variety of wireless technologies and different radio interfaces. The method is demonstrated to be effective when applied to the problem of cell site selection. We examine the trade-offs implied by the family of techniques that we consider, and we make suggestions for how one should determine the optimal level of network simplification for a particular problem.
Keywords :
cellular radio; optimisation; telecommunication network planning; cell site selection; cellular network design; large-scale wireless networks; locality based computational simplification; network modeling; radio propagation locality property; simulation simplification; wireless network optimization simplification; Algorithm design and analysis; Computational modeling; Computer networks; Design optimization; Large-scale systems; Mobile computing; Performance evaluation; Runtime; Space technology; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Networking Conference, 2005 IEEE
ISSN :
1525-3511
Print_ISBN :
0-7803-8966-2
Type :
conf
DOI :
10.1109/WCNC.2005.1424783
Filename :
1424783
Link To Document :
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