Planning omni-present networks of the future.
Euro Med Telco Conference（2014）
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.
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Key words
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,network rollout,wireless network planning
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