Capacity of MIMO systems in shallow water acoustic channels

Underwater acoustic (UWA) channels are typically characterized by a multipath structure with large delay spread, where only a few propagation paths carry significant energy. Each path exhibits time variability, which, together with the transmitter and receiver motion, induces Doppler spreading and shifting of the signal. In this paper, we analyze the limits on the information rate achievable through multiple-input multiple-output (MIMO) communications over UWA channels. Assuming full channel state information (CSI) at the receiver, we evaluate the ergodic capacity in two scenarios: one with partial CSI at the transmitter, and another with no CSI. Also, we consider the constrained capacity for practical modulations, e.g., BPSK and QPSK, and, exploiting the sparseness of the multipath structure, we provide new lower bounds on the achievable information rate. Statistical characterization and numerical examples are given based on the data collected in a recent experiment, conducted off the coast of Kauai, Hawaii, in June 2008.

[1]  Parastoo Qarabaqia STATISTICAL MODELING OF A SHALLOW WATER ACOUSTIC COMMUNICATION CHANNEL , 2009 .

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

[3]  William J. Higley Self-adaptive processes for the mitigation of coherent multipath in ocean acoustics , 2007 .

[4]  H. Vincent Poor,et al.  On the capacity of multiple-antenna systems in Rician fading , 2005, IEEE Transactions on Wireless Communications.

[5]  Milica Stojanovic,et al.  Statistical characterization and capacity of shallow water acoustic channels , 2009, OCEANS 2009-EUROPE.

[6]  Zheng Zhang,et al.  Achievable information rates and coding for MIMO systems over ISI channels and frequency-selective fading channels , 2004, IEEE Transactions on Communications.

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

[8]  Shlomo Shamai,et al.  Information rates for a discrete-time Gaussian channel with intersymbol interference and stationary inputs , 1991, IEEE Trans. Inf. Theory.

[9]  Antonia Maria Tulino,et al.  Capacity-achieving input covariance for single-user multi-antenna channels , 2006, IEEE Transactions on Wireless Communications.

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

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

[12]  Xiaohu You,et al.  On the Ergodic Capacity of Rank-$1$ Ricean-Fading MIMO Channels , 2007, IEEE Transactions on Information Theory.

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

[14]  M. Stojanovic,et al.  Underwater Acoustic Communications: Design Considerations on the Physical Layer , 2008, 2008 Fifth Annual Conference on Wireless on Demand Network Systems and Services.

[15]  Giulio Colavolpe,et al.  On the application of factor graphs and the sum-product algorithm to ISI channels , 2005, IEEE Transactions on Communications.