Modulation-Mode and Power Assignment in SVD-Equalized MIMO Systems

Dedicated to Prof. Reiner Rockmann on occasion of his 70th birt hday Abstract: Existing bit loading and transmit power allocation techniq ues are often optimized for maintaining both a fixed transmit power and a fix ed target bit-error rate while attempting to maximize the overall data-rate. However, delay-critical real-time interactive applications, such as voice or video transmiss ion, may require a fixed data rate. In this contribution the number of activated layers in a multiple input multiple output (MIMO) system and the number of bits per symbol along with the appropriate allocation of the transmit power are jointly optimized unde r the constraint of a given fixed data throughput. Our results show that in order to achie ve the best bit-error rate, not necessarily all MIMO layers have to be activated.

[1]  Douglas L. Jones,et al.  Computationally efficient optimal power allocation algorithms for multicarrier communication systems , 2000, IEEE Trans. Commun..

[2]  K. J. Kerpez DSL spectrum management standard , 2002 .

[3]  Irving Kalet Optimization of Linearly Equalized QAM , 1987, IEEE Trans. Commun..

[4]  장지호 Transmit power and bit allocations for OFDM systems in a fading channel , 2003 .

[5]  Simon Haykin,et al.  Adaptive filter theory (2nd ed.) , 1991 .

[6]  Andreas Ahrens,et al.  Transmit power allocation in SVD equalized multicarrier systems , 2007 .

[7]  G. David Forney,et al.  Efficient Modulation for Band-Limited Channels , 1984, IEEE J. Sel. Areas Commun..

[8]  Kwang Bok Lee,et al.  Transmit power allocation for BER performance improvement in multicarrier systems , 2004, IEEE Trans. Commun..

[9]  John G. Proakis,et al.  Digital Communications , 1983 .

[10]  M. Dohler,et al.  MIMO systems with adaptive modulation , 2005, 2004 IEEE 59th Vehicular Technology Conference. VTC 2004-Spring (IEEE Cat. No.04CH37514).

[11]  Lie-Liang Yang,et al.  SVD-Aided, Iteratively Detected Spatial Division Multiplexing Using Long-Range Channel Prediction , 2007, 2007 IEEE Workshop on Signal Processing Systems.

[12]  W. van Etten An Optimum Linear Receiver for Multiple Channel Digital Transmission Systems , 1975, IEEE Trans. Commun..

[13]  Kwang Bok Lee,et al.  Transmit power adaptation for multiuser OFDM systems , 2003, IEEE J. Sel. Areas Commun..

[14]  V. Kühn Wireless Communications over MIMO Channels: Applications to CDMA and Multiple Antenna Systems , 2006 .

[15]  Lizhong Zheng,et al.  Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels , 2003, IEEE Trans. Inf. Theory.

[16]  Dirk Dahlhaus,et al.  Optimal power adaptation for OFDM systems with ideal bit-interleaving and hard-decision decoding , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[17]  John M. Cioffi,et al.  Joint Tx-Rx beamforming design for multicarrier MIMO channels: a unified framework for convex optimization , 2003, IEEE Trans. Signal Process..

[18]  Gaston H. Gonnet,et al.  On the LambertW function , 1996, Adv. Comput. Math..

[19]  Robert F. H. Fischer,et al.  A new loading algorithm for discrete multitone transmission , 1996, Proceedings of GLOBECOM'96. 1996 IEEE Global Telecommunications Conference.

[20]  S. Haykin,et al.  Adaptive Filter Theory , 1986 .

[21]  Irving Kalet,et al.  The multitone channel , 1989, IEEE Trans. Commun..