EXIT Chart-Based Power Allocation for Iterative Frequency Domain MIMO Detector

• Published in: IEEE transactions on signal processing Vol. 59; no. 4; pp. 1624 - 1641
• Main Authors: Karjalainen, J, Codreanu, M, Tolli, A, Juntti, M, Matsumoto, T
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.04.2011; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Allocations; Applied sciences; Coding, codes; Convergence; Decoding; Detection, estimation, filtering, equalization, prediction; Detectors; Equalizers; Exact sciences and technology; Extrinsic information transfer (EXIT) chart analysis; frequency domain equalization; Frequency domains; Information, signal and communications theory; Iterative methods; iterative processing; Mathematical models; MIMO; Optimization; power allocation; Receivers; repeat accumulate coding; Resource management; Signal and communications theory; Signal, noise; single carrier; singular value decomposition; Streams; Studies; Telecommunications and information theory; Performance evaluation; MIMO system; repeat accumulate coding; Frequency domain method; Iterative method; iterative processing; Equalizer; Frequency measurement; Single carrier; Equalization; Power allocation; Convex programming; Information transmission; Optimization; Mean square error; Coding; Heuristic method; Signal processing; Extrinsic information transfer (EXIT) chart analysis; Numerical simulation; Pretreatment; Mutual information; Singular value decomposition; frequency domain equalization
• ISSN: 1053-587X; 1941-0476
• DOI: 10.1109/TSP.2010.2104143

Transmission power allocation in single-carrier multiple-input multiple-output (MIMO) systems with iterative frequency-domain (FD) soft cancellation (SC) minimum mean-squared error (MMSE) equalization is considered. A novel framework for transmission power minimization subject to equalizer convergence constraints, referred as convergence constrained power allocation (CCPA) method, is proposed based on extrinsic information transfer (EXIT) chart analysis. The proposed method decouples the spatial interference between the streams using singular value decomposition (SVD), and minimizes the transmission power while achieving the target mutual information for each stream after iterations at the receiver. We show that the transmission power optimization can be formulated as a convex optimization problem. Three CCPA methods, one approximately optimal, and other two heuristic methods inspired by the Lagrange duality are derived. The numerical results demonstrate that the proposed scheme outperforms the existing linear precoding schemes. Moreover, the proposed heuristic schemes can achieve performance close with that of the approximately optimal method in terms of the equalizer convergence properties as well as transmission power.