Principles and Algorithms for Transmission in Multiple-Input Multiple-Output Broadband Multiuser Systems

This work deals with fundamental and practical approaches to transmission in point-to-multipoint communication systems employing multicarrier modulation schemes and an arbitrary number of transmit and receive antennas. The combination of both multiple antenna technology and multicarrier modulation is broadly considered to be key in order to reach the rates expected in so-called fourth generation systems. Beside a number of information theoretic results and considerations, a class of algorithms is presented that allow for a non-iterative computation of transmission strategies that perform nearly optimally for three design criteria of interest. So far optimum solutions for these criteria can only be obtained by applying computationally expensive iterative algorithms.

[1]  W. Utschick,et al.  Iterative THP Transceiver Optimization for Multi-User MIMO Systems Based on Weighted Sum-Mse Minimization , 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

[2]  G. Ginis,et al.  A multi-user precoding scheme achieving crosstalk cancellation with application to DSL systems , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[3]  Giuseppe Caire,et al.  Iterative Waterfilling for Weighted Rate Sum Maximization in MIMO-OFDM Broadcast Channels , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[4]  A. Goldsmith,et al.  Sum power iterative water-filling for multi-antenna Gaussian broadcast channels , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[5]  P. Wintz,et al.  Quantizing for Noisy Channels , 1969 .

[6]  Katalin Marton,et al.  A coding theorem for the discrete memoryless broadcast channel , 1979, IEEE Trans. Inf. Theory.

[7]  Wei Yu,et al.  Sum-capacity computation for the Gaussian vector broadcast channel via dual decomposition , 2006, IEEE Transactions on Information Theory.

[8]  Jia Liu,et al.  Maximum Weighted Sum Rate of Multi-Antenna Broadcast Channels , 2007, ArXiv.

[9]  Tamás Linder,et al.  Causal coding of stationary sources and individual sequences with high resolution , 2006, IEEE Transactions on Information Theory.

[10]  B.L. Evans,et al.  Low complexity user selection algorithms for multiuser MIMO systems with block diagonalization , 2005, IEEE Transactions on Signal Processing.

[11]  Martin Haardt,et al.  Successive optimization Tomlinson-Harashima precoding (SO THP) for multi-user MIMO systems , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[12]  Robert M. Gray,et al.  High-resolution quantization theory and the vector quantizer advantage , 1989, IEEE Trans. Inf. Theory.

[13]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[14]  Nihar Jindal,et al.  Sum power iterative waterfilling for Gaussian vector broadcast channels , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

[15]  Wei Yu,et al.  Iterative water-filling for Gaussian vector multiple-access channels , 2001, IEEE Transactions on Information Theory.

[16]  Robert W. Heath,et al.  What is the value of limited feedback for MIMO channels? , 2004, IEEE Communications Magazine.

[17]  Narayan B. Mandayam,et al.  Unquantized and uncoded channel state information feedback in multiple-antenna multiuser systems , 2006, IEEE Transactions on Communications.

[18]  Wei Yu,et al.  A Dual Decomposition Approach to the Sum Power Gaussian Vector Multiple Access Channel Sum Capacity Problem , 2003 .

[19]  Wolfgang Utschick,et al.  Feedback of Channel State Information in Wireless Systems , 2007, 2007 IEEE International Conference on Communications.

[20]  Keiji Tachikawa.  A perspective on the evolution of mobile communications , 2003, IEEE Commun. Mag..

[21]  Hongwei Yang.  A road to future broadband wireless access: MIMO-OFDM-Based air interface , 2005, IEEE Communications Magazine.

[22]  T. Cover,et al.  Writing on colored paper , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[23]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[24]  Nihar Jindal.  MIMO broadcast channels with finite rate feedback , 2005, GLOBECOM.

[25]  Seyed Bahram ZAHIR AZAMI,et al.  Combined Source-Channel Coding : Panorama of MethodsCNES Workshop on Data Compression , 1996 .

[26]  Hyundong Shin,et al.  Capacity of multiple-antenna fading channels: spatial fading correlation, double scattering, and keyhole , 2003, IEEE Trans. Inf. Theory.

[27]  Narayan B. Mandayam,et al.  Multiple antenna transmitter optimization schemes for multiuser systems , 2003, 2003 IEEE 58th Vehicular Technology Conference. VTC 2003-Fall (IEEE Cat. No.03CH37484).

[28]  Martin Haardt,et al.  Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels , 2004, IEEE Transactions on Signal Processing.

[29]  Rick S. Blum,et al.  Multiuser diversity for a dirty paper approach , 2003, IEEE Communications Letters.

[30]  Thomas L. Marzetta,et al.  Fast transfer of channel state information in wireless systems , 2006, IEEE Transactions on Signal Processing.

[31]  Shidong Zhou,et al.  Receive antenna selection in the downlink of multiuser MIMO systems , 2005, VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005..

[32]  Giuseppe Caire,et al.  An iterative water-filling algorithm for maximum weighted sum-rate of Gaussian MIMO-BC , 2006, IEEE Journal on Selected Areas in Communications.

[33]  Andrea J. Goldsmith,et al.  On the capacity of multiple input multiple output broadcast channels , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[34]  Shlomo Shamai,et al.  The Capacity Region of the Gaussian Multiple-Input Multiple-Output Broadcast Channel , 2006, IEEE Transactions on Information Theory.

[35]  Harish Viswanathan,et al.  Downlink capacity evaluation of cellular networks with known-interference cancellation , 2003, IEEE J. Sel. Areas Commun..

[36]  W. Utschick,et al.  A general covariance-based optimization framework using orthogonal projections , 2008, 2008 IEEE 9th Workshop on Signal Processing Advances in Wireless Communications.

[37]  K. Zeger,et al.  Tradeoff between source and channel coding , 1997, Proceedings of IEEE International Symposium on Information Theory.

[38]  Vladimir Cuperman,et al.  Joint source and channel coding using a non-linear receiver over Rayleigh fading channel , 1993, Proceedings of GLOBECOM '93. IEEE Global Telecommunications Conference.

[39]  Nihar Jindal,et al.  MIMO Broadcast Channels with Block Diagonalization and Finite Rate Feedback , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

[40]  Holger Boche,et al.  Iterative multiuser uplink and downlink beamforming under SINR constraints , 2005, IEEE Transactions on Signal Processing.

[41]  Andrea J. Goldsmith,et al.  On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming , 2006, IEEE Journal on Selected Areas in Communications.

[42]  Fredrik Hekland.  A Review of Joint Source-Channel Coding , 2004 .

[43]  Emre Telatar,et al.  Capacity of Multi-antenna Gaussian Channels , 1999, Eur. Trans. Telecommun..

[44]  Minjoong Rim,et al.  Multi-user downlink beamforming with multiple transmit and receive antennas , 2002 .

[45]  Jeffrey G. Andrews,et al.  Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints , 2005, IEEE Transactions on Wireless Communications.

[46]  Charles R. Johnson,et al.  Topics in Matrix Analysis , 1991 .

[47]  Gerhard Wunder,et al.  Optimal and low complex suboptimal transmission schemes for MIMO-OFDM broadcast channels , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[49]  Wolfgang Utschick,et al.  Sum-Capacity and MMSE for the MIMO Broadcast Channel without Eigenvalue Decompositions , 2007, 2007 IEEE International Symposium on Information Theory.

[50]  Wei Yu,et al.  Sum capacity of a Gaussian vector broadcast channel , 2002, Proceedings IEEE International Symposium on Information Theory,.

[51]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

[52]  F. Oberhettinger,et al.  Tables of Laplace Transforms , 1973 .

[53]  Wei Yu,et al.  Trellis precoding for the broadcast channel , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[54]  Sailes K. Sengijpta.  Fundamentals of Statistical Signal Processing: Estimation Theory , 1995 .

[55]  A. Nemirovski.  Advances in convex optimization : conic programming , 2005 .

[56]  U. Madhow,et al.  Space-time transmit strategies and channel feedback generation for wireless fading channels , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[57]  Allen Gersho,et al.  Vector quantizer design for memoryless noisy channels , 1988, IEEE International Conference on Communications, - Spanning the Universe..

[58]  Allen Gersho,et al.  Vector quantization and signal compression , 1991, The Kluwer international series in engineering and computer science.

[59]  Gene H. Golub,et al.  Matrix computations , 1983 .

[60]  Wei Yu,et al.  Trellis and convolutional precoding for transmitter-based interference presubtraction , 2005, IEEE Transactions on Communications.

[61]  Quentin H. Spencer,et al.  Channel allocation in multi-user MIMO wireless communications systems , 2004, 2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577).

[62]  Thomas J. Goblick,et al.  Theoretical limitations on the transmission of data from analog sources , 1965, IEEE Trans. Inf. Theory.

[63]  Wei Yu,et al.  Sum capacity of Gaussian vector broadcast channels , 2004, IEEE Transactions on Information Theory.

[64]  Amir K. Khandani,et al.  An Efficient Signaling Method over MIMO Broadcast Channels , 2004 .

[65]  S. Shamai,et al.  Error probabilities for the block-fading Gaussian channel , 1995 .

[66]  Robert W. Heath,et al.  Grassmannian beamforming for multiple-input multiple-output wireless systems , 2003, IEEE Trans. Inf. Theory.

[67]  J. Tellado,et al.  A fourth-generation MIMO-OFDM broadband wireless system: design, performance, and field trial results , 2002, IEEE Commun. Mag..

[68]  Nihar Jindal,et al.  Symmetric Capacity of MIMO Downlink Channels , 2006, 2006 IEEE International Symposium on Information Theory.