Effect of Feedback Errors on Quantized Equal Gain Transmission

In this paper, we consider multiple-input, single-output (MISO) systems with per-antenna constrained beamforming at the transmitter, also known as equal gain transmission (EGT). The i.i.d. Rayleigh flat fading channel is assumed known to the receiver, and is quantized and sent to the transmitter through through a noisy finite-rate feedback channel. We model the noisy feedback channel as a symmetric error channel (i.e.,a channel where all index errors are equally likely), and analyze the effect of feedback channel errors on the performance of quantized EGT systems. It is found that the asymptotic performance (as the number of quantized codepoints gets large) of EGT with quantized feedback via a noisy channel depends on the channel behavior as the number of quantized points increase. It turns out that the binary symmetric channel (BSC) with random index assignment is a special case of the analysis, and the asymptotic performance approaches that of random beamforming. The accuracy of the expressions obtained are further verified through Monte Carlo simulations.

[1]  B. Rao,et al.  Performance analysis of multiple antenna systems with VQ-based feedback , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[2]  K. Zeger,et al.  Randomly chosen index assignments are asymptotically bad for uniform sources , 1998, Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252).

[3]  Mikael Skoglund,et al.  Quantized feedback information in orthogonal space-time block coding , 2004, IEEE Transactions on Information Theory.

[4]  David Malah,et al.  Bounds on the performance of vector-quantizers under channel errors , 2005, IEEE Transactions on Information Theory.

[5]  Nariman Farvardin,et al.  On the performance and complexity of channel-optimized vector quantizers , 1991, IEEE Trans. Inf. Theory.

[6]  Georgios B. Giannakis,et al.  Multiantenna adaptive modulation with beamforming based on bandwidth-constrained feedback , 2005, IEEE Transactions on Communications.

[7]  Robert W. Heath,et al.  Equal gain transmission in multiple-input multiple-output wireless systems , 2002, Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE.

[8]  Gregory W. Wornell,et al.  Efficient use of side information in multiple-antenna data transmission over fading channels , 1998, IEEE J. Sel. Areas Commun..

[9]  T.K.Y. Lo,et al.  Maximum ratio transmission , 1999, 1999 IEEE International Conference on Communications (Cat. No. 99CH36311).

[10]  Elza Erkip,et al.  On beamforming with finite rate feedback in multiple-antenna systems , 2003, IEEE Trans. Inf. Theory.

[11]  W. R. Bennett,et al.  Spectra of quantized signals , 1948, Bell Syst. Tech. J..

[12]  Bhaskar D. Rao,et al.  A vector quantization based approach for equal gain transmission , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[13]  Bhaskar D. Rao,et al.  High-rate analysis of source coding for symmetric error channels , 2006, Data Compression Conference (DCC'06).

[14]  Bhaskar D. Rao,et al.  Theoretical analysis of the high-rate vector quantization of LPC parameters , 1995, IEEE Trans. Speech Audio Process..

[15]  Allen Gersho,et al.  Asymptotically optimal block quantization , 1979, IEEE Trans. Inf. Theory.

[16]  S. P. Lloyd,et al.  Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.