Energy efficiency maximization for heterogeneous networks: A joint linear precoder design and small-cell switching-off approach

Nguyen, LD; Duong, TQ; Nguyen, DN; Tran, LN

Energy efficiency maximization for heterogeneous networks: A joint linear precoder design and small-cell switching-off approach

Nguyen, LD Duong, TQ Nguyen, DN

Tran, LN

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Publication Type:: Conference Proceeding
Citation:: 2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings, 2017, pp. 718 - 722
Issue Date:: 2017-04-19

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Field	Value	Language
dc.contributor.author	Nguyen, LD	en_US
dc.contributor.author	Duong, TQ	en_US
dc.contributor.author	Nguyen, DN https://orcid.org/0000-0003-2659-8648	en_US
dc.contributor.author	Tran, LN	en_US
dc.date.issued	2017-04-19	en_US
dc.identifier.citation	2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings, 2017, pp. 718 - 722	en_US
dc.identifier.isbn	9781509045457	en_US
dc.identifier.uri	http://hdl.handle.net/10453/101946
dc.description.abstract	© 2016 IEEE. In this paper, we consider a multiuser multiple-input multipleoutput (MU-MIMO) heterogeneous network (HetNet) in which a macro base station (MBS) and multiple small-cells (SCs) coexist to serve multiple user terminals. We propose a joint linear precoder design problem to maximize the energy efficiency of the considered network. To tackle the cross-tier interference in the HetNets, we exploit zero-forcing precoding where the interference at the users is cancelled out by block diagonalization scheme. A novel group sparsity promoted as group Lasso is proposed using the weighted norm minimization, where the group sparsity pattern indicates those SCs that can be switched off and non-associated users. Simulation results show that the proposed algorithm outperforms many existing algorithms in terms of the total energy efficiency in the HetNets.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DE150101092
dc.relation.ispartof	2016 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2016 - Proceedings	en_US
dc.relation.isbasedon	10.1109/GlobalSIP.2016.7905936	en_US
dc.title	Energy efficiency maximization for heterogeneous networks: A joint linear precoder design and small-cell switching-off approach	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	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 - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. In this paper, we consider a multiuser multiple-input multipleoutput (MU-MIMO) heterogeneous network (HetNet) in which a macro base station (MBS) and multiple small-cells (SCs) coexist to serve multiple user terminals. We propose a joint linear precoder design problem to maximize the energy efficiency of the considered network. To tackle the cross-tier interference in the HetNets, we exploit zero-forcing precoding where the interference at the users is cancelled out by block diagonalization scheme. A novel group sparsity promoted as group Lasso is proposed using the weighted norm minimization, where the group sparsity pattern indicates those SCs that can be switched off and non-associated users. Simulation results show that the proposed algorithm outperforms many existing algorithms in terms of the total energy efficiency in the HetNets.

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http://hdl.handle.net/10453/101946