An intercell interference coordination scheme in LTE downlink networks based on user priority and fuzzy logic system

Daeinabi, A; Sandrasegaran, K; Zhu, X

An intercell interference coordination scheme in LTE downlink networks based on user priority and fuzzy logic system

Daeinabi, A Sandrasegaran, K

Zhu, X

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Publication Type:: Journal Article
Citation:: International Journal of Wireless and Mobile Computing, 2013, 5 (4), pp. 49 - 64
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Daeinabi, A	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.contributor.author	Zhu, X	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	International Journal of Wireless and Mobile Computing, 2013, 5 (4), pp. 49 - 64	en_US
dc.identifier.issn	1741-1084	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26562
dc.description.abstract	The Intercell Interference (ICI) problem is one of the main challenges in Long Term Evolution (LTE) downlink system. In order to deal with the ICI problem, this paper proposes a joint resource block and transmit power allocation scheme in LTE downlink networks. The proposed scheme is implemented in three phases: (1) the priority of users is calculated based on interference level, Quality of Service (QoS) and Head of Line (HoL) delay; (2) users in each cell are scheduled on the specified subbands based on their priority; and (3) eNodeBs dynamically control the transmit power using a fuzzy logic system and exchanging messages to each other. Simulation results demonstrate that the proposed priority scheme outperforms the existing Reuse Factor one (RF1) and Soft Frequency Reuse (SFR) schemes in terms of cell throughput, cell edge user throughput, delay and interference level.	en_US
dc.relation.ispartof	International Journal of Wireless and Mobile Computing	en_US
dc.relation.isbasedon	10.5121/ijwmn.2013.5404	en_US
dc.title	An intercell interference coordination scheme in LTE downlink networks based on user priority and fuzzy logic system	en_US
dc.type	Journal Article
utslib.citation.volume	4	en_US
utslib.citation.volume	5	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	1702 Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.issue	4	en_US
pubs.publication-status	Published	en_US
pubs.volume	5	en_US

Abstract:

The Intercell Interference (ICI) problem is one of the main challenges in Long Term Evolution (LTE) downlink system. In order to deal with the ICI problem, this paper proposes a joint resource block and transmit power allocation scheme in LTE downlink networks. The proposed scheme is implemented in three phases: (1) the priority of users is calculated based on interference level, Quality of Service (QoS) and Head of Line (HoL) delay; (2) users in each cell are scheduled on the specified subbands based on their priority; and (3) eNodeBs dynamically control the transmit power using a fuzzy logic system and exchanging messages to each other. Simulation results demonstrate that the proposed priority scheme outperforms the existing Reuse Factor one (RF1) and Soft Frequency Reuse (SFR) schemes in terms of cell throughput, cell edge user throughput, delay and interference level.

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http://hdl.handle.net/10453/26562