Low SNR Capacity of Fading Channels -MIMO and Delay Spread

Discrete-time Rayleigh fading multiple-input multiple-output (MIMO) channels are considered, with no channel state information at the transmitter and receiver. The fading is assumed to be correlated in time and independent from antenna to antenna. Peak and average transmit power constraints are imposed, either on the sum over antennas, or on each individual antenna. In both cases, an upper bound and an asymptotic lower bound, as the signal-to-noise ratio approaches zero, on the channel capacity are presented. The limit of normalized capacity is identified under the sum power constraints, and, for a subclass of channels, for individual power constraints. These results carry over to a SISO channel with delay spread (i.e. frequency selective fading).

[1]  Bruce E. Hajek,et al.  Capacity and reliability function for small peak signal constraints , 2002, IEEE Trans. Inf. Theory.

[2]  A. Viterbi Performance of an M -ary orthogonal communication system using stationary stochastic signals , 1967, IEEE Trans. Inf. Theory.

[3]  Amos Lapidoth,et al.  On the asymptotic capacity of stationary Gaussian fading channels , 2005, IEEE Transactions on Information Theory.

[4]  Sergio Verdú,et al.  Second-order asymptotics of mutual information , 2004, IEEE Transactions on Information Theory.

[5]  J. Doob Stochastic processes , 1953 .

[6]  Emre Telatar,et al.  Capacity and mutual information of wideband multipath fading channels , 1998, IEEE Trans. Inf. Theory.

[7]  Robert Spayde Kennedy,et al.  Fading dispersive communication channels , 1969 .

[8]  Muriel Médard,et al.  Bandwidth scaling for fading multipath channels , 2002, IEEE Trans. Inf. Theory.

[9]  Amos Lapidoth,et al.  The fading number and degrees of freedom in non-coherent MIMO fading channels: a peace pipe , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

[10]  James L. Massey,et al.  Proper complex random processes with applications to information theory , 1993, IEEE Trans. Inf. Theory.

[11]  Shlomo Shamai,et al.  Capacity of Underspread WSSUS Fading Channels in the Wideband Regime , 2006, 2006 IEEE International Symposium on Information Theory.

[12]  Bruce E. Hajek,et al.  Low SNR Capacity of Fading Channels with Peak and Average Power Constraints , 2006, 2006 IEEE International Symposium on Information Theory.

[13]  Bruce E. Hajek,et al.  Broad-band fading channels: Signal burstiness and capacity , 2002, IEEE Trans. Inf. Theory.

[14]  Wenyi Zhang,et al.  How Good Is PSK for Peak-Limited Fading Channels in the Low-SNR Regime? , 2008, IEEE Transactions on Information Theory.

[15]  Babak Hassibi,et al.  Analysis of multiple-antenna wireless links at low SNR , 2004, IEEE Transactions on Information Theory.

[16]  I. Jacobs The asymptotic behavior of incoherent M-ary communication systems , 1963 .

[17]  J. Nicholas Laneman,et al.  How Good is Phase-Shift Keying for Peak-Limited Fading Channels in the Low-SNR Regime ? , 2005 .

[18]  J. Nicholas Laneman,et al.  How Good is Phase-Shift Keying for Peak-Limited Rayleigh Fading Channels in the Low-SNR Regime? , 2005, ArXiv.

[19]  Amos Lapidoth,et al.  On the Low SNR Capacity of Peak-Limited Non-Coherent Fading Channels with Memory , 2006, ArXiv.

[20]  Bruce E. Hajek,et al.  Capacity bounds for noncoherent fading channels with a peak constraint , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

[21]  Teng Li,et al.  Approaching capacity on correlated fading channels with unknown state , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

[22]  Emre Telatar,et al.  Mismatched decoding revisited: General alphabets, channels with memory, and the wide-band limit , 2000, IEEE Trans. Inf. Theory.