Linear Multiuser MIMO Transceiver Design With Quality of Service and Per-Antenna Power Constraints

• Published in: IEEE transactions on signal processing Vol. 56; no. 7; pp. 3049 - 3055
• Main Authors: Tolli, A., Codreanu, M., Juntti, M.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.07.2008; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Antennas; Applied sciences; Beamforming; convex optimization; Design optimization; Detection, estimation, filtering, equalization, prediction; Downlink; Exact sciences and technology; geometric programming; Information, signal and communications theory; linear multiuser MIMO transceiver design; Linear programming; Measurement; MIMO; Miscellaneous; Nonlinearity; Optimization; Optimization methods; Power amplifiers; Quality of service; second-order cone programming; Signal and communications theory; Signal processing; Signal to noise ratio; Signal, noise; Streams; symmetric capacity; Telecommunications and information theory; Transceivers; MIMO system; second-order cone programming; Multiple access; Second order; linear multiuser MIMO transceiver design; Global optimum; geometric programming; Scheduling; Nonlinear problems; quality of service; Algorithm; Convex programming; Beam forming; Optimization; Transceiver; symmetric capacity; Beamforming; Signal processing; convex optimization; Optimal planning; Signal to interference plus noise ratio; Service quality; Antenna
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2008.917034

Joint design of linear multiuser multiple-input-multiple-output (MIMO) transceiver subject to different quality of service (QoS) constraints per user and with per-antenna or antenna group power constraints is considered. Solutions for two linear transceiver optimization problems are proposed, i.e., balancing the weighted signal-to-interference-plus-noise ratio (SINR) per data stream and balancing the weighted rate for each scheduled user with minimum rate requirements per user. The proposed joint transceiver optimization algorithms are compared to corresponding optimal nonlinear transmission methods as well as to generalized zero-forcing transmission solutions. Unlike the optimal nonlinear schemes, the optimization problems employed in the linear multiuser MIMO transceiver design are not convex in general. However, the proposed algorithms are shown to provide very efficient solutions despite of the fact that the global optimum cannot be guaranteed due to nonconvexity of the problems.