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A Context-aware User-driven Strategy to Exploit Offloading and Sharing in Ultra-dense Deployments

Bouali, Faouzi, Moessner, Klaus and Fitch, M (2017) A Context-aware User-driven Strategy to Exploit Offloading and Sharing in Ultra-dense Deployments In: IEEE ICC 2017 Mobile and Wireless Networking, 2017-05-21 - 2017-05-25, Paris, France.

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Abstract

This paper proposes a novel context-aware userdriven strategy to efficiently exploit all available bands and licensing regimes in ultra-dense deployments without prior knowledge about each combination. It relies first on fuzzy logic to estimate the suitability of each radio access technology (RAT) to support the requirements of various applications. Then, a fuzzy multiple attribute decision making (MADM) approach is developed to combine these estimates with the heterogeneous context components to assess the in-context suitability. Based on this metric, a spectrum management strategy is proposed to support interactive video sessions for a set of Bronze and Gold subscriptions. The results reveal that the proposed approach always assigns Gold users to the well-regulated licensed band, while switches Bronze users between licensed and unlicensed bands depending on the operating conditions. This results in a significant improvement of the quality-of-experience (QoE) compared to a baseline that exploits only licensed bands. Then, a comparative study is conducted between the available options to exploit unlicensed bands, namely Offloading and Sharing. The results show that the best option strongly depends on the existing load on WLAN. Therefore, a combined approach is proposed to efficiently switch between both options, which achieves the best QoE for all considered loads.

Item Type: Conference or Workshop Item (Conference Paper)
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Bouali, Faouzif.bouali@surrey.ac.ukUNSPECIFIED
Moessner, KlausK.Moessner@surrey.ac.ukUNSPECIFIED
Fitch, MUNSPECIFIEDUNSPECIFIED
Date : 31 July 2017
Identification Number : 10.1109/ICC.2017.7996703
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.
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDIEEE, UNSPECIFIEDUNSPECIFIED
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Feb 2017 16:20
Last Modified : 08 Dec 2017 14:58
URI: http://epubs.surrey.ac.uk/id/eprint/813649

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