Optimized LTE cell planning for multiple user density subareas using meta-heuristic algorithms

Handle URI:
http://hdl.handle.net/10754/564989
Title:
Optimized LTE cell planning for multiple user density subareas using meta-heuristic algorithms
Authors:
Ghazzai, Hakim ( 0000-0002-8636-4264 ) ; Yaacoub, Elias E.; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Base station deployment in cellular networks is one of the most fundamental problems in network design. This paper proposes a novel method for the cell planning problem for the fourth generation 4G-LTE cellular networks using meta heuristic algorithms. In this approach, we aim to satisfy both coverage and cell capacity constraints simultaneously by formulating a practical optimization problem. We start by performing a typical coverage and capacity dimensioning to identify the initial required number of base stations. Afterwards, we implement a Particle Swarm Optimization algorithm or a recently-proposed Grey Wolf Optimizer to find the optimal base station locations that satisfy both problem constraints in the area of interest which can be divided into several subareas with different user densities. Subsequently, an iterative approach is executed to eliminate eventual redundant base stations. We have also performed Monte Carlo simulations to study the performance of the proposed scheme and computed the average number of users in outage. Results show that our proposed approach respects in all cases the desired network quality of services even for large-scale dimension problems.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program; Communication Theory Lab
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)
Conference/Event name:
80th IEEE Vehicular Technology Conference, VTC 2014-Fall
Issue Date:
Sep-2014
DOI:
10.1109/VTCFall.2014.6966100
Type:
Conference Paper
ISSN:
15502252
ISBN:
9781479944491; 9781479944491
Appears in Collections:
Conference Papers; Electrical Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorGhazzai, Hakimen
dc.contributor.authorYaacoub, Elias E.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2015-08-04T07:27:19Zen
dc.date.available2015-08-04T07:27:19Zen
dc.date.issued2014-09en
dc.identifier.isbn9781479944491; 9781479944491en
dc.identifier.issn15502252en
dc.identifier.doi10.1109/VTCFall.2014.6966100en
dc.identifier.urihttp://hdl.handle.net/10754/564989en
dc.description.abstractBase station deployment in cellular networks is one of the most fundamental problems in network design. This paper proposes a novel method for the cell planning problem for the fourth generation 4G-LTE cellular networks using meta heuristic algorithms. In this approach, we aim to satisfy both coverage and cell capacity constraints simultaneously by formulating a practical optimization problem. We start by performing a typical coverage and capacity dimensioning to identify the initial required number of base stations. Afterwards, we implement a Particle Swarm Optimization algorithm or a recently-proposed Grey Wolf Optimizer to find the optimal base station locations that satisfy both problem constraints in the area of interest which can be divided into several subareas with different user densities. Subsequently, an iterative approach is executed to eliminate eventual redundant base stations. We have also performed Monte Carlo simulations to study the performance of the proposed scheme and computed the average number of users in outage. Results show that our proposed approach respects in all cases the desired network quality of services even for large-scale dimension problems.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectCell Planningen
dc.subjectCoverage and Cell Capacity Dimensioningen
dc.subjectLTE Cellular Networken
dc.subjectMeta-Heuristic Algorithmsen
dc.titleOptimized LTE cell planning for multiple user density subareas using meta-heuristic algorithmsen
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.contributor.departmentCommunication Theory Laben
dc.identifier.journal2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall)en
dc.conference.date14 September 2014 through 17 September 2014en
dc.conference.name80th IEEE Vehicular Technology Conference, VTC 2014-Fallen
dc.contributor.institutionQatar Mobility Innovations Center (QMIC), Qatar Science and Technology ParkDoha, Qataren
kaust.authorGhazzai, Hakimen
kaust.authorAlouini, Mohamed-Slimen
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