Interference mitigation by jointly splitting rates and beamforming for multi-cell multi-user networks

Che, E; Tuan, HD

Interference mitigation by jointly splitting rates and beamforming for multi-cell multi-user networks

Che, E Tuan, HD

Permalink

Publication Type:: Conference Proceeding
Citation:: 13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013, 2013, pp. 41 - 45
Issue Date:: 2013-12-31

Closed Access

	Filename	Description	Size
	06645819.pdf	Published version	164.37 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Che, E	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.date.issued	2013-12-31	en_US
dc.identifier.citation	13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013, 2013, pp. 41 - 45	en_US
dc.identifier.isbn	9781467355803	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120834
dc.description.abstract	The paper considers the joint design for splitting bit rates in private and common message transmissions and coordinated beamforming in a multi-cell multi-user multiple input single output (MISO) system. Namely, the users are purposely paired to decode the common messages to subtract interferences. Both the private messages and common messages are further beamformed before the transmission to maximize the worst user's rate performance of the overall system. The common messages and private messages are decoded in sequence. Obviously, users pairing optimization alone already is a nontrivial combinatorics, while beamforming private and common messages also pose a difficult nonconvex optimization problem. Their jointly optimal design is thus a hard mixed combinatoric optimization problem. Nevertheless, we show that this joint design can be successfully addressed by means of d.c (difference of convex functions) optimization. Numerical simulation shows the advantage of our approach over the previous one. © 2013 IEEE.	en_US
dc.relation.ispartof	13th International Symposium on Communications and Information Technologies: Communication and Information Technology for New Life Style Beyond the Cloud, ISCIT 2013	en_US
dc.relation.isbasedon	10.1109/ISCIT.2013.6645819	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Interference mitigation by jointly splitting rates and beamforming for multi-cell multi-user networks	en_US
dc.type	Conference Proceeding
utslib.for	0903 Biomedical Engineering	en_US
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:

The paper considers the joint design for splitting bit rates in private and common message transmissions and coordinated beamforming in a multi-cell multi-user multiple input single output (MISO) system. Namely, the users are purposely paired to decode the common messages to subtract interferences. Both the private messages and common messages are further beamformed before the transmission to maximize the worst user's rate performance of the overall system. The common messages and private messages are decoded in sequence. Obviously, users pairing optimization alone already is a nontrivial combinatorics, while beamforming private and common messages also pose a difficult nonconvex optimization problem. Their jointly optimal design is thus a hard mixed combinatoric optimization problem. Nevertheless, we show that this joint design can be successfully addressed by means of d.c (difference of convex functions) optimization. Numerical simulation shows the advantage of our approach over the previous one. © 2013 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/120834