Convex Optimization
On water-filling precoding for coded single-carrier systems
IEEE Communications Letters
On convergence constrained precoder design for iterative frequency domain MIMO detector
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Minimum mean squared error equalization using a priori information
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
An analytical method for MMSE MIMO turbo equalizer EXIT chart computation
IEEE Transactions on Wireless Communications
Adaptive Optimization of an Iterative Multiuser Detector for Turbo-Coded CDMA
IEEE Transactions on Wireless Communications - Part 1
Convergence Analysis and Optimal Scheduling for Multiple Concatenated Codes
IEEE Transactions on Information Theory
Evolution analysis of low-cost iterative equalization in coded linear systems with cyclic prefixes
IEEE Journal on Selected Areas in Communications
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A new power allocation method for irregularly modulated signaling in single carrier point-to-point multiple input multiple output (MIMO) systems with an iterative frequencydomain (FD) soft cancellation (SC) minimum mean squared error (MMSE) equalization is proposed. The proposed method explicitly takes into account the convergence properties of the iterative equalizer while transmission power is minimized. The proposed scheme is based on the combination of irregular modulation, different signal constellations within one code word, and convergence constraint precoding (CCP), technique that decouples the spatial interference between 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 side. Numerical results show that the proposed scheme improves the transmission rate adaptivity of the original CCP while ensuring the convergence with reduced transmission power.