Turbo-learning: A novel application to MIMO wireless communications

Abstract This paper briefly reviews the turbo-learning principle, thereby setting the stage for the description of a novel multiple-input, multiple-cutput (MIMO) wireless communication system. This new system, called Turbo-BLAST, builds on two key principles: The Turbo-learning principle The Bell-Labs Space-Time Layered (BLAST) architecture Experimental results are presented, demonstrating the high-spectral efficiency of Turbo-BLAST. A distinctive feature of the Turbo-BLAST receiver is its rapidly converging iterative nature. Indeed, it may be described as a nonlinear stochastic sampled-data feedback system. The paper identifies the development ofa mathematical framework for convergence analysis of the receiver as an open research problem.

[1]  Mathini Sellathurai,et al.  Random space-time codes with iterative decoders for BLAST architectures , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[2]  Mathini Sellathurai,et al.  TURBO-BLAST: a novel technique for multi-transmit multi-receive wireless communications , 2000 .

[3]  J. G. Chaffee.  The Application of Negative Feedback to Frequency-Modulation Systems , 1939, Proceedings of the IRE.

[4]  S. Haykin,et al.  A nonlinear iterative beamforming technique for wireless communications , 1999, Conference Record of the Thirty-Third Asilomar Conference on Signals, Systems, and Computers (Cat. No.CH37020).

[5]  Mathini Sellathurai,et al.  TURBO-BLAST for high-speed wireless communications , 2000 .

[6]  Mathini Sellathurai,et al.  A simplified Diagonal BLAST architecture with iterative parallel-interference cancellation receivers , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[7]  A. Robert Calderbank,et al.  Space-Time Codes for High Data Rate Wireless Communications : Performance criterion and Code Construction , 1998, IEEE Trans. Inf. Theory.