Multirate Layered Space-Time Coding and Successive Interference Cancellation Receivers in Quasi-Static Fading Channels

We investigate the performance of multirate layered space-time coded MIMO systems with successive decoding and interference cancellation (SDIC) receivers in quasi-static Rayleigh fading channels. The proposed framework can be viewed as a class of diagonal layered space-time coded system with each of the layers is encoded independently with different rates subject to equal per-layer outage probabilities. We derive the probability density functions of the per-layer mutual informations, which can be used to estimate the per-layer rates. Using these densities we show that the proposed transceiver increases the outage capacity. We also present simulation results illustrating the outage capacity performance for a variety of transmit and receive antenna combinations and the associated near optimal per-layer rates of input signals. In particular we show that for sufficiently large numbers of transmit and receive antennas, the system can achieve near capacity in quasi-static fading environments. Based on these results, multirate codes are designed using punctured turbo codes and simulation results show significant gains in packet error-rate (PER) performances compared to that of V-BLAST architectures with lower receiver complexities.

[1]  Angel Lozano.  Capacity-approaching rate function for layered multiantenna architectures , 2003, IEEE Trans. Wirel. Commun..

[2]  Thomas L. Marzetta,et al.  Multiple-antenna channel hardening and its implications for rate feedback and scheduling , 2004, IEEE Transactions on Information Theory.

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

[4]  T. Cover.  Some Advances in Broadcast Channels , 1975 .

[5]  Constantinos B. Papadias,et al.  Analysis and performance of some basic space-time architectures , 2003, IEEE J. Sel. Areas Commun..

[6]  Angel E. Lozano,et al.  Approaching eigenmode BLAST channel capacity using V-BLAST with rate and power feedback , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[7]  Shlomo Shamai,et al.  Fading channels (invited paper): information-theoretic and communications aspects , 2000 .

[8]  Hao Zhang,et al.  The outage capacity of BLAST for MIMO channels , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[9]  Giuseppe Caire,et al.  On low-complexity space-time coding for quasi-static channels , 2003, IEEE Trans. Inf. Theory.

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

[11]  Aaron D. Wyner,et al.  Recent results in the Shannon theory , 1974, IEEE Trans. Inf. Theory.

[12]  N. R. Goodman.  Statistical analysis based on a certain multivariate complex Gaussian distribution , 1963 .

[13]  Hao Zhang,et al.  Asymptotical analysis of the outage capacity of rate-tailored BLAST , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[14]  T. Guess,et al.  Optimum decision feedback multiuser equalization with successive decoding achieves the total capacity of the Gaussian multiple-access channel , 1997, Conference Record of the Thirty-First Asilomar Conference on Signals, Systems and Computers (Cat. No.97CB36136).

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

[16]  Mathini Sellathurai,et al.  Approaching near-capacity on a multi-antenna channel using successive decoding and interference cancellation receivers , 2003, Journal of Communications and Networks.

[17]  Tharmalingam Ratnarajah,et al.  Quadratic forms on complex random matrices and multiple-antenna systems , 2005, IEEE Transactions on Information Theory.

[18]  Sirikiat Lek Ariyavisitakul,et al.  Turbo space-time processing to improve wireless channel capacity , 2000, IEEE Trans. Commun..

[19]  Mathini Sellathurai,et al.  Stratified diagonal layered space-time architectures: signal processing and information theoretic aspects , 2003, IEEE Trans. Signal Process..