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Dynamic Clustering Framework for Multi-Cell Scheduling in Dense Small Cell Networks

Pateromichelakis, E, Shariat, M, Quddus, A, Dianati, M and Tafazolli, R (2013) Dynamic Clustering Framework for Multi-Cell Scheduling in Dense Small Cell Networks Communications Letters, IEEE, 17 (9). pp. 1802-1805.

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Abstract

This letter proposes a novel graph-based multi-cell scheduling framework to efficiently mitigate downlink inter-cell interference in small cell OFDMA networks. This framework incorporates dynamic clustering combined with channel-aware resource allocation to provide tunable quality of service measures at different levels. Our extensive evaluation study shows that a significant improvement in user's spectral efficiency is achievable, while also maintaining relatively high cell spectral efficiency via empirical tuning of re-use factor across the cells according to the required QoS constraints.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :
AuthorsEmailORCID
Pateromichelakis, EUNSPECIFIEDUNSPECIFIED
Shariat, MUNSPECIFIEDUNSPECIFIED
Quddus, AUNSPECIFIEDUNSPECIFIED
Dianati, MUNSPECIFIEDUNSPECIFIED
Tafazolli, RUNSPECIFIEDUNSPECIFIED
Date : September 2013
Identification Number : 10.1109/LCOMM.2013.072313.131248
Uncontrolled Keywords : Interference coordination, graph partitioning, small cells
Additional Information : © 2013 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.
Depositing User : Symplectic Elements
Date Deposited : 27 Jan 2014 10:14
Last Modified : 09 Jun 2014 13:53
URI: http://epubs.surrey.ac.uk/id/eprint/805020

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