Multi-access networks are envisioned to guarantee a continuous service while addressing different application requirements in terms of data rate, coverage and power consumption. Different access technologies can be effectively combined in a multi-access scenario where the overall system is able to achieve a better performance leveraging on the different characteristics of the access technologies. One of the main challenges in realizing a multi-access system is the process of properly selecting a network interface. This paper proposes a network selection algorithm based on the k-nearest neighbor data mining classification technique. This work considers Ethernet, Wi-Fi, and 3GPP technologies; however, the proposed approach could be easily adapted to take into account other access technologies.

Multi-access interface selection based on data mining algorithm / Khaleel, HUSSEIN JAMALUDDIN KHALEEL; M., Delgado; C., Pastrone; Ma, Spirito; S., Tchabou; Garello, Roberto. - (2013). (Intervento presentato al convegno 2013 IEEE-APS Antennas and Propagation in Wireless Communications (APWC), tenutosi a Torino Italy nel September 2013) [10.1109/APWC.2013.6624945].

Multi-access interface selection based on data mining algorithm

KHALEEL, HUSSEIN JAMALUDDIN KHALEEL;GARELLO, Roberto
2013

Abstract

Multi-access networks are envisioned to guarantee a continuous service while addressing different application requirements in terms of data rate, coverage and power consumption. Different access technologies can be effectively combined in a multi-access scenario where the overall system is able to achieve a better performance leveraging on the different characteristics of the access technologies. One of the main challenges in realizing a multi-access system is the process of properly selecting a network interface. This paper proposes a network selection algorithm based on the k-nearest neighbor data mining classification technique. This work considers Ethernet, Wi-Fi, and 3GPP technologies; however, the proposed approach could be easily adapted to take into account other access technologies.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2591611
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