Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIT.2011.2177760
DC FieldValue
dc.titleOn Gaussian MIMO BC-MAC duality with multiple transmit covariance constraints
dc.contributor.authorZhang, L.
dc.contributor.authorZhang, R.
dc.contributor.authorLiang, Y.-C.
dc.contributor.authorXin, Y.
dc.contributor.authorPoor, H.V.
dc.date.accessioned2014-06-17T02:59:30Z
dc.date.available2014-06-17T02:59:30Z
dc.date.issued2012-04
dc.identifier.citationZhang, L., Zhang, R., Liang, Y.-C., Xin, Y., Poor, H.V. (2012-04). On Gaussian MIMO BC-MAC duality with multiple transmit covariance constraints. IEEE Transactions on Information Theory 58 (4) : 2064-2078. ScholarBank@NUS Repository. https://doi.org/10.1109/TIT.2011.2177760
dc.identifier.issn00189448
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56863
dc.description.abstractOwing to the special structure of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC), the associated capacity region computation and beamforming optimization problems are typically non-convex, and thus cannot be solved directly. One feasible approach is to consider the respective dual multiple-access channel (MAC) problems, which are easier to deal with due to their convexity properties. The conventional BC-MAC duality has been established via BC-MAC signal transformation, and is applicable only for the case in which the MIMO BC is subject to a single transmit sum-power constraint. An alternative approach is based on minimax duality, which can be applied to the case of the sum-power constraint or per-antenna power constraint. In this paper, the conventional BC-MAC duality is extended to the general linear transmit covariance constraint (LTCC) case, which includes sum-power and per-antenna power constraints as special cases. The obtained general BC-MAC duality is applied to solve the capacity region computation for the MIMO BC and beamforming optimization for the multiple-input single-output (MISO) BC, respectively, with multiple LTCCs. The relationship between this new general BC-MAC duality and the minimax duality is also discussed, and it is shown that the general BC-MAC duality leads to simpler problem formulations. Moreover, the general BC-MAC duality is extended to deal with the case of nonlinear transmit covariance constraints in the MIMO BC. © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TIT.2011.2177760
dc.sourceScopus
dc.subjectBeamforming
dc.subjectbroadcast channels
dc.subjectmultiple antennas
dc.subjectwireless systems
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TIT.2011.2177760
dc.description.sourcetitleIEEE Transactions on Information Theory
dc.description.volume58
dc.description.issue4
dc.description.page2064-2078
dc.description.codenIETTA
dc.identifier.isiut000302079800005
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

96
checked on Feb 25, 2021

WEB OF SCIENCETM
Citations

70
checked on Feb 25, 2021

Page view(s)

77
checked on Mar 2, 2021

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.