PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

 

e-ISSN 2231-8542
ISSN 1511-3701

Home / Regular Issue / JTAS Vol. 26 (T) Apr. 2018 / JSSH-T0721-2018

 

Improving BTS Capacity and Location using Particle Swarm Optimisation: A Case Study of South West Java

Palti Marulitua Sitorus, Anisah Firli, Sri Widiyanesti and Svadev Prasant Mahasagara

Pertanika Journal of Tropical Agricultural Science, Volume 26, Issue T, April 2018

Keywords: Base Transceiver Station, capacity, location, operators, Particle Swarm Optimisation, tower sharing

Published on: 11 Jul 2018

Telecommunications operators need to solution to extend the lifecycle of Base Transceiver Station (BTS) to minimise their capital expenditure (Capex). Currently, there is a single tower for single operator, which means the business is not managed optimally. This study aims to optimise existing BTSs by maximising its capacity and its strategic location via Particle Swarm Optimisation (PSO). The PSO is aimed at reducing the number of towers and encourage sharing between operators. Based on PSO data by optimising existing BTS capacity and tower sharing, a 72% reduction in capex can be achieved. Therefore, infrastructure sharing is vital to reduce Capex problem faced by the operators. The study proposes open access among operators.

ISSN 1511-3701

e-ISSN 2231-8542

Article ID

JSSH-T0721-2018

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