Title :
Reduced-complexity transmit power optimization techniques for multiuser MIMO with per-antenna power constraint
Author :
Ohwatari, Yusuke ; Benjebbour, Anass ; Hagiwara, Junichiro ; Ohya, Tomoyuki
Author_Institution :
Res. Labs., NTT DoCoMo, Inc., Yokosuka
Abstract :
For a multiuser (MU)-MIMO precoded transmission with individual constraints on the maximum power of each transmit antenna, the transmit power optimization problem is a non-linear convex optimization problem with a high level of computational complexity. In this paper, we propose three methods in order to reduce the computational complexity associated with this problem. The reductions in computational complexity achieved with the proposed methods are evaluated under the sum-rate maximization criterion assuming i.i.d Rayleigh fading MIMO channels and block diagonalization zero-forcing as a precoder.
Keywords :
MIMO communication; communication complexity; multiuser channels; optimisation; receiving antennas; Rayleigh fading MIMO channels; block diagonalization zero-forcing; computational complexity; multiuser MIMO precoded transmission; nonlinear convex optimization problem; per-antenna power constraint; reduced-complexity transmit power optimization techniques; sum-rate maximization criterion; transmit antenna; AWGN; Base stations; Computational complexity; Constraint optimization; Convergence; Covariance matrix; MIMO; Receiving antennas; Transmitters; Transmitting antennas;
Conference_Titel :
Communication, Control, and Computing, 2008 46th Annual Allerton Conference on
Conference_Location :
Urbana-Champaign, IL
Print_ISBN :
978-1-4244-2925-7
Electronic_ISBN :
978-1-4244-2926-4
DOI :
10.1109/ALLERTON.2008.4797532