Traffic-aware Resource allocation with aggregation in Heterogeneous Networks with WLANs

Lee, Haeyoung, Vahid, Seiamak and Moessner, Klaus (2018) Traffic-aware Resource allocation with aggregation in Heterogeneous Networks with WLANs In: European Conference on Networks and Communications 2018 (EUCNC 2018), 18-21 Jun 2018, Ljubljana, Slovenia.

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Abstract

We consider resource allocation with aggregation for different types of traffic in heterogeneous networks, including WLANs. While mobile data traffic is expected to increase, efficient management of multiple bands including unlicensed band becomes increasingly important. In this context, we formulate a resource allocation problem using utility functions for heterogeneous traffic and propose a novel algorithm that considers the estimated UE speed, traffic types and channel quality. Simulation results illustrate performance of the proposed algorithm in terms of higher utility value and fairness, even at high traffic loads. Additional improvements in resource utilization through estimating UE speed and allocating low-mobility UEs to Wi-Fi are shown.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :	Name Email ORCID Lee, Haeyoung haeyoung.lee@surrey.ac.uk Vahid, Seiamak S.Vahid@surrey.ac.uk Moessner, Klaus K.Moessner@surrey.ac.uk
Date :	23 August 2018
DOI :	10.1109/EuCNC.2018.8442710
Copyright Disclaimer :	© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords :	Carrier aggregation; Load balancing; LWA
Related URLs :	Organisation
Depositing User :	Clive Harris
Date Deposited :	24 Apr 2018 09:58
Last Modified :	26 Oct 2018 16:29
URI:	http://epubs.surrey.ac.uk/id/eprint/846292

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