Planning omni-present networks of the future

Author

Spruytte, Jonathan ; Naudts, Bram ; Casier, Koen ; Van Ooteghem, Jan ; Verbrugge, Sofie

Author_Institution

Internet Based Commun. Networks & Services Res. group (IBCN), Ghent Univ. - iMinds, Ghent, Belgium

fYear

2014

fDate

12-15 Nov. 2014

Firstpage

1

Lastpage

6

Abstract

On one hand, customers expect mobile broadband at any time and place at increasing bandwidth while on the other hand there is an evolution towards smart cities which include video monitoring and large amount of extra sensors putting additional strain on the existing network. Because of this, optimal long term network planning is of crucial importance. This planning has to take into account the ever increasing bandwidth demand and user adoption. In this publication, a genetic algorithm is proposed to find the optimal location of base stations to achieve a full coverage. Using this algorithm, a clear comparison has been made between a short-term (incremental) and a long-term (anticipated) planning.

Keywords

broadband networks; genetic algorithms; mobile computing; smart cities; telecommunication network planning; anticipated planning; bandwidth demand; base stations; genetic algorithm; incremental planning; long-term planning; mobile broadband; omni-present network planning; short-term planning; smart cities; ubiquitous network fabric; user adoption; video monitoring; Bandwidth; Base stations; Cities and towns; Genetic algorithms; Planning; Transportation; Wireless networks; network rollout; wireless network planning;

fLanguage

English

Publisher

ieee

Conference_Titel

Euro Med Telco Conference (EMTC), 2014

Conference_Location

Naples

Print_ISBN

978-8-8872-3721-4

Type

conf

DOI

10.1109/EMTC.2014.6996661

Filename

6996661