User pairing and precoder design with Han-kobayashi transmission strategy in MU-MIMO multicell networks

Tam, HHM; Tuan, HD; Ngo, DT; Che, E

User pairing and precoder design with Han-kobayashi transmission strategy in MU-MIMO multicell networks

Tam, HHM Tuan, HD

Ngo, DT Che, E

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Publication Type:: Conference Proceeding
Citation:: 2015 IEEE Global Communications Conference, GLOBECOM 2015, 2015
Issue Date:: 2015-01-01

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Field	Value	Language
dc.contributor.author	Tam, HHM	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Ngo, DT	en_US
dc.contributor.author	Che, E	en_US
dc.date.issued	2015-01-01	en_US
dc.identifier.citation	2015 IEEE Global Communications Conference, GLOBECOM 2015, 2015	en_US
dc.identifier.isbn	9781479959525	en_US
dc.identifier.uri	http://hdl.handle.net/10453/122639
dc.description.abstract	© 2015 IEEE. This paper considers the Han-Kobayashi transmission strategy that mitigates the downlink intercell interference in a multiuser multi-input multi-output (MU-MIMO) multicell network. The base station (BS) splits the transmitted data of a user (UE) into a common message and a private message, the former of which is then decoded by a paired UE in another cell so as to reduce the respective cross-cell interference. Our aim here is to develop (i) A pairing rule that determines pairs of UEs to share common messages, and (ii) Optimal precoders at the BSs that maximize either the minimum UE throughput or the network sum-rate. To solve the combinatoric UE pairing problem, we propose a heuristic that pairs UEs with the largest corresponding cross-cell channel gains. This approach ensures that the most significant source of intercell interference is eliminated through common message decoding. We then apply the Frank-and-Wolfe procedure of concave programming to solve the highly nonconvex precoder design problems. We show that this procedure generates a sequence of improved solutions and eventually converges to at least a local optimum. Numerical results confirm the advantages of our proposed solution over the conventional strategy where intercell interference is treated as noise.	en_US
dc.relation.ispartof	2015 IEEE Global Communications Conference, GLOBECOM 2015	en_US
dc.relation.isbasedon	10.1109/GLOCOM.2014.7417833	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	User pairing and precoder design with Han-kobayashi transmission strategy in MU-MIMO multicell networks	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
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2015 IEEE. This paper considers the Han-Kobayashi transmission strategy that mitigates the downlink intercell interference in a multiuser multi-input multi-output (MU-MIMO) multicell network. The base station (BS) splits the transmitted data of a user (UE) into a common message and a private message, the former of which is then decoded by a paired UE in another cell so as to reduce the respective cross-cell interference. Our aim here is to develop (i) A pairing rule that determines pairs of UEs to share common messages, and (ii) Optimal precoders at the BSs that maximize either the minimum UE throughput or the network sum-rate. To solve the combinatoric UE pairing problem, we propose a heuristic that pairs UEs with the largest corresponding cross-cell channel gains. This approach ensures that the most significant source of intercell interference is eliminated through common message decoding. We then apply the Frank-and-Wolfe procedure of concave programming to solve the highly nonconvex precoder design problems. We show that this procedure generates a sequence of improved solutions and eventually converges to at least a local optimum. Numerical results confirm the advantages of our proposed solution over the conventional strategy where intercell interference is treated as noise.

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http://hdl.handle.net/10453/122639