Power Allocation for a MIMO Relay System With Multiple-Antenna Users

• Published in: IEEE transactions on signal processing Vol. 58; no. 5; pp. 2823 - 2835
• Main Authors: Yu, Yuan, Hua, Yingbo
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.05.2010; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Allocations; Applied sciences; Convex optimization; Covariance matrix; Decoding; Digital relays; Downlink; Energy consumption; Exact sciences and technology; generalized water filling; Information, signal and communications theory; Matrices; Maximization; medium access control; MIMO; Miscellaneous; multiuser MIMO relays; network of MIMO links; nonconvex optimization; Optimization; Power system relaying; Processor scheduling; Relay; Relay systems; Signal processing; space-time power allocation; space-time power scheduling; Strategy; Studies; System performance; Telecommunications and information theory; Throughput; Access control; Performance evaluation; Non convex programming; Relay; Wireless telecommunication; space-time power scheduling; Information rate; Downlink; nonconvex optimization; Regenerative process; Power allocation; Convex programming; Convex optimization; Electric power consumption; Fast algorithm; Uplink; Antenna array; MIMO system; Multiple access; medium access control; Space time; Scheduling; Covariance matrix; Information transmission; multiuser MIMO relays; Power consumption; space-time power allocation; Signal processing; generalized water filling; network of MIMO links
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2010.2042476

A power allocation or scheduling problem is studied for a multiuser multiple-input multiple-output (MIMO) wireless relay system where there is a non-regenerative relay between one access point and multiple users. Each node in the system is equipped with multiple antennas. The purpose of this study is to develop fast algorithms to compute the source covariance matrix (or matrices) and the relay transformation matrix to optimize a system performance. We consider the minimization of power consumption subject to rate constraint and also the maximization of system throughput subject to power constraint. These problems are nonconvex and apparently have no simple solutions. In this paper, a number of computational strategies are presented and their performances are investigated. Both uplink and downlink cases are considered. The use of multiple carriers is also discussed. Moreover, a generalized water-filling (GWF) algorithm is developed to solve a special class of convex optimization problems. The GWF algorithm is used for two of the strategies shown in this paper.