Abstract
Abstract Femtocells have been suggested as a promising solution for the provision of indoor coverage and capacity. This article investigates the problem of re-distributing traffic demand between long-term evolution (LTE) femtocells with open access in an enterprise scenario. Several traffic sharing algorithms based on automatic tuning of femtocell parameters are considered. The proposed algorithms are implemented by fuzzy logic controllers. Performance assessment is carried out in a dynamic system-level simulator. Results show that localized congestion problems in these scenarios can be solved without impairing connection quality by jointly tuning handover margins and cell transmit power.
Highlights
Recent surveys have shown that more than 2/3 of mobile traffic demand is originated at home or work, but nearly half of the houses and premises have poor indoor coverage [1,2]
The distance between the macrocellular site and the building (500 m in this study) has been selected so that the signal level received from the macrocells inside the building is high enough to be considered as a source of interference, but low enough to avoid users inside the building connecting to the macrocell
In this study, several methods have been proposed for traffic sharing in an enterprise long-term evolution (LTE) femtocell scenario
Summary
Recent surveys have shown that more than 2/3 of mobile traffic demand is originated at home or work, but nearly half of the houses and premises have poor indoor coverage [1,2]. The proposed algorithms change femtocell service areas by modifying the transmit power and/or handover margins of a cell and its neighbors. All methods are based on tuning two femtocell parameters: HO margin and transmit power.
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