Space-time coding and signal processing for MIMO communications

Rapid growth in mobile computing and other wireless multimedia services is inspiring many research and development activities on high-speed wireless communication systems. Main challenges in this area include the development of efficient coding and modulation signal processing techniques for improving the quality and spectral efficiency of wireless systems. The recently emerged space-time coding and signal processing techniques for wireless communication systems employing multiple transmit and receive antennas offer a powerful paradigm for meeting these challenges. This paper provides an overview on the recent development in space-time coding and signal processing techniques for multiple-input multiple-output (MIMO) communication systems. We first review the information theoretic results on the capacities of wireless systems employing multiple transmit and receive antennas. We then describe two representative categories of space-time systems, namely, the BLAST system and the space-time block coding system, both of which have been proposed for next-generation high-speed wireless system. Signal processing techniques for channel estimation and decoding in space-time systems are also discussed. Finally, some other coding and signal processing techniques for wireless systems employing multiple transmit and receive antennas that are currently under intensive research are also briefly touched upon.

[1]  A. Robert Calderbank,et al.  Space-time block coding for wireless communications: performance results , 1999, IEEE J. Sel. Areas Commun..

[2]  Theodore S. Rappaport,et al.  Overview of spatial channel models for antenna array communication systems , 1998, IEEE Wirel. Commun..

[3]  Petre Stoica,et al.  Generalized linear precoder and decoder design for MIMO channels using the weighted MMSE criterion , 2001, IEEE Trans. Commun..

[4]  Thomas L. Marzetta,et al.  A transmitter diversity scheme for wideband CDMA systems based on space-time spreading , 2001, IEEE J. Sel. Areas Commun..

[5]  Reinaldo A. Valenzuela,et al.  Simplified processing for high spectral efficiency wireless communication employing multi-element arrays , 1999, IEEE J. Sel. Areas Commun..

[6]  Helmut Bölcskei,et al.  On the capacity of OFDM-based spatial multiplexing systems , 2002, IEEE Trans. Commun..

[7]  Xiaodong Wang,et al.  Blind detection in MIMO systems via sequential Monte Carlo , 2003, IEEE J. Sel. Areas Commun..

[8]  Chen-Nee Chuah,et al.  Capacity scaling in MIMO Wireless systems under correlated fading , 2002, IEEE Trans. Inf. Theory.

[9]  G. Bauch,et al.  Concatenation of space-time block codes and "turbo"-TCM , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[10]  H. Vincent Poor,et al.  Blind adaptive space-time multiuser detection with multiple transmitter and receiver antennas , 2002, IEEE Trans. Signal Process..

[11]  Vahid Tarokh,et al.  Space-time coded OFDM for high data-rate wireless communication over wideband channels , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[12]  Gerhard Bauch,et al.  Improved codes for space-time trellis-coded modulation , 2000, IEEE Communications Letters.

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

[14]  Robert W. Heath,et al.  Antenna selection for spatial multiplexing systems based on minimum error rate , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[15]  Bin Dong,et al.  A new class of soft MIMO demodulation algorithms , 2003, IEEE Trans. Signal Process..

[16]  Hesham El Gamal,et al.  A new approach to layered space-Time coding and signal processing , 2001, IEEE Trans. Inf. Theory.

[17]  Brian L. Hughes Differential Space-Time modulation , 2000, IEEE Trans. Inf. Theory.

[18]  Reinaldo A. Valenzuela,et al.  V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel , 1998, 1998 URSI International Symposium on Signals, Systems, and Electronics. Conference Proceedings (Cat. No.98EX167).

[19]  M. Bronzel,et al.  MIMO-capacities for COST 259 scenarios , 2002, 2002 International Zurich Seminar on Broadband Communications Access - Transmission - Networking (Cat. No.02TH8599).

[20]  A. Robert Calderbank,et al.  Combined Array Processing and Space-Time Coding , 1999, IEEE Trans. Inf. Theory.

[21]  Hamid Jafarkhani,et al.  Multiple transmit antenna differential detection from generalized orthogonal designs , 2001, IEEE Trans. Inf. Theory.

[22]  Thomas L. Marzetta,et al.  BLAST training : Estimating Channel Characteristics for High-Capacity Space-Time Wireless , 1999 .

[23]  Arogyaswami Paulraj,et al.  MIMO antenna subset selection with space-time coding , 2002, IEEE Trans. Signal Process..

[24]  Dariush Divsalar,et al.  Introduction to Trellis-Coded Modulation With Applications , 1991 .

[25]  A. Robert Calderbank,et al.  Space-time codes for high data rate wireless communication: performance criteria in the presence of channel estimation errors, mobility, and multiple paths , 1999, IEEE Trans. Commun..

[26]  Reinaldo A. Valenzuela,et al.  Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture , 1999 .

[27]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.

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

[29]  Guosen Yue,et al.  Performance analysis and design optimization of LDPC-coded MIMO OFDM systems , 2004, IEEE Trans. Signal Process..

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

[31]  Babak Hassibi,et al.  High-rate codes that are linear in space and time , 2002, IEEE Trans. Inf. Theory.

[32]  Stephan ten Brink,et al.  Design of low-density parity-check codes for modulation and detection , 2004, IEEE Transactions on Communications.

[33]  U. Fincke,et al.  Improved methods for calculating vectors of short length in a lattice , 1985 .

[34]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[35]  Hamid Jafarkhani,et al.  A differential detection scheme for transmit diversity , 2000, IEEE Journal on Selected Areas in Communications.

[36]  Mohamed Oussama Damen,et al.  Lattice code decoder for space-time codes , 2000, IEEE Communications Letters.

[37]  Xiaodong Wang,et al.  A Space-Time Trellis Code Design Method for OFDM Systems , 2003, Wirel. Pers. Commun..

[38]  Mathini Sellathurai,et al.  Turbo-BLAST for wireless communications: theory and experiments , 2002, IEEE Trans. Signal Process..

[39]  Xiaodong Wang,et al.  Iterative receivers for multiuser space-time coding systems , 2000, 2000 IEEE International Conference on Communications. ICC 2000. Global Convergence Through Communications. Conference Record.

[40]  William C. Y. Lee,et al.  Mobile Communications Design Fundamentals , 1986 .

[41]  Helmut Bölcskei,et al.  On the capacity of OFDM-based multi-antenna systems , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[42]  Gerard J. Foschini,et al.  Layered space-time architecture for wireless communication in a fading environment when using multi-element antennas , 1996, Bell Labs Technical Journal.

[43]  A.J. Paulraj,et al.  Space-frequency codes for broadband fading channels , 2001, Proceedings. 2001 IEEE International Symposium on Information Theory (IEEE Cat. No.01CH37252).

[44]  Lih-Yuan Deng,et al.  Orthogonal Arrays: Theory and Applications , 1999, Technometrics.

[45]  Siavash M. Alamouti,et al.  A simple transmit diversity technique for wireless communications , 1998, IEEE J. Sel. Areas Commun..

[46]  M. J. Gans,et al.  On Limits of Wireless Communications in a Fading Environment when Using Multiple Antennas , 1998, Wirel. Pers. Commun..

[47]  William C. Y. Lee,et al.  Mobile Communications Design Fundamentals: Lee/Mobile , 1993 .

[48]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[49]  Alexei Gorokhov,et al.  Antenna selection algorithms for MEA transmission systems , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.