Optimal strict frequency reuse in cellular networks-based stochastic geometry model

Lam, SC; Sandrasegaran, K

Optimal strict frequency reuse in cellular networks-based stochastic geometry model

Lam, SC

Sandrasegaran, K

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Publication Type:: Conference Proceeding
Citation:: 2017 17th International Symposium on Communications and Information Technologies, ISCIT 2017, 2018, 2018-January pp. 1 - 7
Issue Date:: 2018-01-16

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Field	Value	Language
dc.contributor.author	Lam, SC https://orcid.org/0000-0003-4546-3378	en_US
dc.contributor.author	Sandrasegaran, K https://orcid.org/0000-0003-1270-5756	en_US
dc.date.available	2020-05-25T19:09:18Z
dc.date.issued	2018-01-16	en_US
dc.identifier.citation	2017 17th International Symposium on Communications and Information Technologies, ISCIT 2017, 2018, 2018-January pp. 1 - 7	en_US
dc.identifier.isbn	9781509065141	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132903
dc.description.abstract	© 2017 IEEE. This paper studies Strict Frequency Reuse algorithm in uplink Stochastic Geometry networks which can be utilised to improve the spectrum efficiency in Long Term Evolution (LTE) networks by dividing the users into Cell-Center Users (CCUs) and Cell-Edge Users (CEUs). In this paper, we defined a two-phase operation of FR for both CCU and CEU in which each user is classified as either CCU or CEU according to the uplink signal strength on the uplink control channel during the first phase and data transfer between the user and it's serving Base Station during the second phase. The performance of the user, i.e. CCU and CEU, as well as the network system in Strict Frequency Reuse network with multi-users and multi-Resource Blocks (RBs) are derived. The analytical results which are verified by Monte Carlo simulation indicate that when SNR or SINR threshold increases, the system performance reaches the peak before steadily decreasing. Thus, the optimal value of SNR and SINR threshold are selected to maximise the performance of the network system.	en_US
dc.relation.ispartof	2017 17th International Symposium on Communications and Information Technologies, ISCIT 2017	en_US
dc.relation.isbasedon	10.1109/ISCIT.2017.8261178	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Optimal strict frequency reuse in cellular networks-based stochastic geometry model	en_US
dc.type	Conference Proceeding
utslib.citation.volume	2018-January	en_US
utslib.for	0805 Distributed Computing	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
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access	*
pubs.publication-status	Published	en_US
pubs.volume	2018-January	en_US

Abstract:

© 2017 IEEE. This paper studies Strict Frequency Reuse algorithm in uplink Stochastic Geometry networks which can be utilised to improve the spectrum efficiency in Long Term Evolution (LTE) networks by dividing the users into Cell-Center Users (CCUs) and Cell-Edge Users (CEUs). In this paper, we defined a two-phase operation of FR for both CCU and CEU in which each user is classified as either CCU or CEU according to the uplink signal strength on the uplink control channel during the first phase and data transfer between the user and it's serving Base Station during the second phase. The performance of the user, i.e. CCU and CEU, as well as the network system in Strict Frequency Reuse network with multi-users and multi-Resource Blocks (RBs) are derived. The analytical results which are verified by Monte Carlo simulation indicate that when SNR or SINR threshold increases, the system performance reaches the peak before steadily decreasing. Thus, the optimal value of SNR and SINR threshold are selected to maximise the performance of the network system.

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http://hdl.handle.net/10453/132903