Approaching near-capacity on a multi-antenna channel using successive decoding and interference cancellation receivers

In this paper, we address the problem of designing multirate codes for a multiple-input and multiple-output (MIMO) system by restricting the receiver to be a successive decoding and interference cancellation type, when each of the antennas is encoded independently. Furthermore, it is assumed that the receiver knows the instantaneous fading channel states but the transmitter does not have access to them. It is well known that, in theory, minimum-mean-square error (MMSE) based successive decoding of multiple access (in multi-user communications) and MIMO channels achieves the total channel capacity. However, for this scheme to perform optimally, the optimal rates of each antenna (per-antenna rates) must be known at the transmitter. We show that the optimal per-antenna rates at the transmitter can be estimated using only the statistical characteristics of the MIMO channel in time-varying Rayleigh MIMO channel environments. Based on the results, multirate codes are designed using punctured turbo codes for a horizontal coded MIMO system. Simulation results show performances within about one to two dBs of MIMO channel capacity.

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

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

[3]  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.

[4]  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).

[5]  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).

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

[7]  Helmut Bölcskei,et al.  Tight lower bounds on the ergodic capacity of Rayleigh fading MIMO channels , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

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

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

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

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