@inproceedings{f0f1cc788a164ca198a079e829f66717,
title = "Traffic-aware carrier allocation with aggregation for load balancing",
abstract = "We consider the resource allocation with aggregation of multiple bands including unlicensed band for heterogeneous traffic. While the mobile data traffic including high volume of video traffic is expected to increase significantly, an efficient management of radio resources from multiple bands is required to guarantee the quality of service (QoS) of different traffic types. In this context, we formulate an optimal resource allocation by using different utility functions for heterogeneous traffic and the two-step resource allocation algorithm including resource grouping has been proposed. Simulation results demonstrate that the proposed algorithm enhances the connection robustness and shows good performance in terms of higher utility value of inelastic traffic even at high traffic loads by steering elastic traffic to unlicensed band.",
keywords = "carrier aggregation, load balancing, Resource allocation, traffic steering",
author = "Haeyoung Lee and Seiamak Vahid and Klaus Moessner",
note = "{\textcopyright} 2017 IEEE.; 2017 European Conference on Networks and Communications, EuCNC 2017 ; Conference date: 12-06-2017 Through 15-06-2017",
year = "2017",
month = jul,
day = "13",
doi = "10.1109/EuCNC.2017.7980741",
language = "English",
series = "EuCNC 2017 - European Conference on Networks and Communications",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "EuCNC 2017 - European Conference on Networks and Communications",
address = "United States",
}