DocumentCode
1276621
Title
Closed-Form Sum-MSE Minimization for the Two-User Gaussian MIMO Broadcast Channel
Author
Kron, Johannes ; Persson, Daniel ; Skoglund, Mikael ; Larsson, Erik G.
Author_Institution
ACCESS Linnaeus Center, R. Inst. of Technol. (KTH), Stockholm, Sweden
Volume
15
Issue
9
fYear
2011
fDate
9/1/2011 12:00:00 AM
Firstpage
950
Lastpage
952
Abstract
We study the Gaussian multiple-input, multiple-output broadcast channel, where a base station with N_T antennas transmits K independent messages to K users, each having a single receive antenna. The messages consist of independent, identically distributed Gaussian random variables and we study linear transmission with an end-to-end distortion criterion. By using an already established uplink/downlink duality and a recently discovered special relation between beamforming vectors and channel vectors, we present a closed-form expression for the optimal power allocation in the two-user case. We also outline an iterative algorithm that finds the optimal power allocation for an arbitrary number of users.
Keywords
Gaussian channels; MIMO communication; array signal processing; broadcast channels; duality (mathematics); iterative methods; mean square error methods; minimisation; receiving antennas; vectors; Gaussian multiple-input multiple-output broadcast channel; Gaussian random variables; N_T antennas; base station; beamforming vectors; channel vectors; closed-form expression; closed-form sum-MSE minimization; downlink duality; end-to-end distortion criterion; independent messages; iterative algorithm; linear transmission; optimal power allocation; single receive antenna; two-user Gaussian MIMO broadcast channel; uplink duality; Array signal processing; Base stations; Downlink; Interference; Optimized production technology; Resource management; Signal to noise ratio; MIMO systems; linear transmission; mean square error; power allocation;
fLanguage
English
Journal_Title
Communications Letters, IEEE
Publisher
ieee
ISSN
1089-7798
Type
jour
DOI
10.1109/LCOMM.2011.070711.110571
Filename
5958551
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