Title :
Minimizing Sum-MSE Implies Identical Downlink and Dual Uplink Power Allocations
Author :
Tenenbaum, Adam J. ; Adve, Raviraj S.
Author_Institution :
Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
fDate :
3/1/2011 12:00:00 AM
Abstract :
In the multiuser downlink, power allocation for linear precoders that minimize the sum of mean squared errors under a sum power constraint is a non-convex problem. Many existing algorithms solve an equivalent convex problem in the virtual uplink and apply a transformation based on uplink-downlink duality to find a downlink solution. In this letter, we analyze the optimality criteria for the power allocation subproblem in the virtual uplink, and demonstrate that the optimal solution leads to identical power allocations in the downlink and virtual uplink. We thus extend the known duality results and, importantly, simplify the existing algorithms used for iterative transceiver design.
Keywords :
concave programming; convex programming; duality (mathematics); iterative methods; linear codes; mean square error methods; multi-access systems; precoding; radio links; radio transceivers; downlink solution; dual uplink power allocations; equivalent convex problem; identical downlink; iterative transceiver design; linear precoders; minimizing sum-MSE; multiuser downlink; nonconvex problem; optimality criteria; power allocation subproblem; sum of mean squared errors; sum power constraint; uplink-downlink duality; virtual uplink; Algorithm design and analysis; Base stations; Downlink; MIMO; Receivers; Resource management; Transceivers; MIMO systems; least mean square methods; optimization methods;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2011.02.090283