Optimal trained space-time modulation over a Rician time-varying channel

The power allocation, training signal length, and training signal which maximize a lower bound on the capacity of a Rician time-varying channel are found in this paper. We consider the case where the channel consists of two components: a specular component from line-of-sight or strong rays, and a time-varying diffuse component due to a mobile receiver or scatterers. Trained modulation is the most common technique for accommodating such time-varying channels. We optimize a lower bound on the capacity to find the parameters mentioned above. Our results are illustrated with several numerical examples.

[1]  B. Hassibi,et al.  Optimal training in space-time systems , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[2]  Babak Hassibi,et al.  Representation theory for high-rate multiple-antenna code design , 2001, IEEE Trans. Inf. Theory.

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

[4]  A. Lee Swindlehurst,et al.  Performance of unitary space-time modulation in a continuously changing channel , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[5]  Thomas L. Marzetta,et al.  Capacity of a Mobile Multiple-Antenna Communication Link in Rayleigh Flat Fading , 1999, IEEE Trans. Inf. Theory.

[6]  A. Lee Swindlehurst,et al.  Capacity-optimal training for space-time modulation over a time-varying channel , 2003, IEEE International Conference on Communications, 2003. ICC '03..

[7]  Thomas Kailath,et al.  Optimal training for frequency-selective fading channels , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[8]  Shlomo Shamai,et al.  Capacity of a mobile multiple-antenna wireless link with isotropically random Ricianfading , 2003, IEEE Trans. Inf. Theory.

[9]  Lizhong Zheng,et al.  Communication on the Grassmann manifold: A geometric approach to the noncoherent multiple-antenna channel , 2002, IEEE Trans. Inf. Theory.