Optimal Precoder Design for Correlated MIMO Communication Systems Using Zero-Forcing Decision Feedback Equalization

• Published in: IEEE transactions on signal processing Vol. 57; no. 9; pp. 3600 - 3612
• Main Authors: Tingting Liu, Tingting Liu, Jian-Kang Zhang, Jian-Kang Zhang, Kon Max Wong, Kon Max Wong
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.09.2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Applied sciences; Arithmetic; Channel state information; Channels; Communication; Communication systems; Correlated MIMO systems; Decision feedback equalizers; Design engineering; Detection, estimation, filtering, equalization, prediction; Exact sciences and technology; Fading; Feedback; geometrical programming; Information, signal and communications theory; MIMO; Miscellaneous; Optimization; precoder; Receivers; Receiving antennas; Signal and communications theory; Signal processing; Signal, noise; Statistics; Studies; Telecommunications and information theory; Transmitters; Transmitting antennas; Wireless communication; zero-forcing decision feedback detection; Performance evaluation; Second order; geometrical programming; Parameter estimation; Non convex programming; Noise reduction; Wireless telecommunication; Transmitter; Decision feedback equalizers; Convex programming; Optimal design; Mean square error; Channel estimation; Correlated MIMO systems; Receiving antenna; Design for environment; Signal detection; Fading; MIMO system; zero-forcing decision feedback detection; Interior point method; Order statistic; precoder; Statistical method; Interference suppression; First order; Telecommunication system; Signal processing
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2009.2021638

We consider the design of the precoder for a multi-input multi-output (MIMO) communication system equipped with a decision feedback equalizer (DFE) receiver. For such design problems, perfect knowledge of the channel state information (CSI) at both the transmitter and the receiver is usually required. However, in the environment of wireless communications, it is often difficult to provide sufficiently timely and accurate feedback of CSI from the receiver to the transmitter for such designs to be practically viable. In this paper, we consider the optimum design of a precoder for a wireless communication link having M transmitter antennas and N receiver antennas (M < N), in which the channels are assumed to be flat fading and may be correlated. We assume that full knowledge of CSI is available at the receiver. At the transmitter, however, only the first- and second-order statistics of the channels are available. Our goal here is to come up with an efficient design of the optimal precoder for such a MIMO system by minimizing the average arithmetic mean-squared error (MSE) of zero-forcing (ZF) decision feedback detection subject to a constraint on the total transmitting power. Applying some of the properties of the matrix parameters, this nonconvex optimization problem can be transformed into a convex geometrical programming problem which can then be efficiently solved using an interior point method. The performance of the MIMO system equipped with this optimum precoder and a ZF-DFE has also been found to be comparable, and in some cases, superior to that of V-BLAST which necessitates optimally ordered successive interference cancellation based on the largest postdetection signal-to-noise ratio (SNR). In terms of tradeoff between performance and implementation simplicity, our new system is certainly an attractive alternative.