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Publication
Load forecasting in WIFI access points over the LTE network
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Advisor(s)
Abstract(s)
The concept of smart cities grew with the need to rethink the use of urban spaces based
on the constant technological advances and respecting sustainability. Today the urbanism and the
methodologies to think about the city are changing, as citizens want more access to digital
information on almost everything. Therefore, cities need to be planned and equipped with
infrastructures that enable connectivity between the citizens’ devices and the digital information.
This challenge raises technological problems, such as traffic management, in an attempt to
guarantee fair network access to all users. Solutions based on wireless resource management and
self-organizing networks are key when design the connectivity for these smart cities. This paper
presents a study on forecasting the daily load of Wi-Fi city hotspots, taking also in consideration the
weather conditions. This is particularly interesting to predict the network load and resource
requirements needed to ensure proper quality of service is provided to the hotspot users. The study
was performed in a Wi-Fi hotspot located in the city of Castelo Branco, Portugal. The results show
the ARIMA model is capable of identifying and forecasting seasonality events for one week in
advance including its capability to correlate the number of hotspot users with weather conditions.
Description
Keywords
Smart Cities Iot Wi-Fi Forecasting First Section
Citation
MARQUES, Hugo [et al.] (2017) - Load forecasting in WIFI access points over the LTE network. International Journal of Mechatronics and Applied Mechanics. ISSN 2559-6497. Nº 1, p. 85-88