Particle swarm optimization for UMTS WCDMA network planning

Tsilimantos, D; Kaklamani, D; Tsoulos, G

dc.contributor.author	Tsilimantos, D	en
dc.contributor.author	Kaklamani, D	en
dc.contributor.author	Tsoulos, G	en
dc.date.accessioned	2014-03-01T02:45:43Z
dc.date.available	2014-03-01T02:45:43Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32346
dc.subject	Basestation configuration problem	en
dc.subject	Network planning	en
dc.subject	Particle swarm optimization	en
dc.subject	Soft handover	en
dc.subject	UMTS	en
dc.subject	WCDMA	en
dc.subject.other	Computer networks	en
dc.subject.other	Heuristic algorithms	en
dc.subject.other	Heuristic programming	en
dc.subject.other	Nuclear propulsion	en
dc.subject.other	Basestation configuration problem	en
dc.subject.other	Network planning	en
dc.subject.other	Particle swarm optimization	en
dc.subject.other	Soft handover	en
dc.subject.other	UMTS	en
dc.subject.other	WCDMA	en
dc.subject.other	Particle swarm optimization (PSO)	en
dc.title	Particle swarm optimization for UMTS WCDMA network planning	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ISWPC.2008.4556215	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ISWPC.2008.4556215	en
heal.identifier.secondary	4556215	en
heal.publicationDate	2008	en
heal.abstract	The planning and optimization of UMTS WCDMA radio networks is a very complex and challenging procedure. In order to obtain accurate results, this planning must take into account key WCDMA features, such as soft handover (SHO). However, the optimization of base station (BS) configuration considering this feature has not been investigated in previous work. In this paper we describe a programming model which considers the SHO mechanism in order to address the general problem of BS configuration. A very promising heuristic optimization algorithm, namely particle swarm optimization (PSO), is used in order to tackle this NP-hard problem. Results from a realistic simulation scenario are provided and key network parameters such as capacity and other-to-own cell interference are presented. © 2008 IEEE.	en
heal.journalName	3rd International Symposium on Wireless Pervasive Computing, ISWPC 2008, Proceedings	en
dc.identifier.doi	10.1109/ISWPC.2008.4556215	en
dc.identifier.spage	283	en
dc.identifier.epage	287	en