Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIT.2011.2177760
Title: On Gaussian MIMO BC-MAC duality with multiple transmit covariance constraints
Authors: Zhang, L.
Zhang, R. 
Liang, Y.-C. 
Xin, Y.
Poor, H.V.
Keywords: Beamforming
broadcast channels
multiple antennas
wireless systems
Issue Date: Apr-2012
Source: Zhang, 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
Abstract: Owing 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.
Source Title: IEEE Transactions on Information Theory
URI: http://scholarbank.nus.edu.sg/handle/10635/56863
ISSN: 00189448
DOI: 10.1109/TIT.2011.2177760
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

70
checked on Dec 7, 2017

WEB OF SCIENCETM
Citations

56
checked on Nov 29, 2017

Page view(s)

32
checked on Dec 18, 2017

Google ScholarTM

Check

Altmetric


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