Title :
Multiple-antennas and isotropically-random unitary inputs: the received signal density in closed-form
Author :
Hassibi, Babak ; Marzetta, Thomas L.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Abstract :
Computing the capacity of a multiple antenna wireless link subject to flat Rayleigh block-fading, with no channel-state information available either to the transmitter or to the receiver, is an important open problem. The isotropically-random (i.r.) unitary matrix-having orthonormal columns, and a probability density that is invariant to pre-multiplication by an independent unitary matrix-plays a central role in the calculation of capacity and in some special cases is capacity-achieving. We take an important step towards computing this capacity by obtaining, in closed-form, the probability density of the received signal when transmitting i.r. unitary matrices. This enables us to evaluate the mutual information for any case of interest, something that could previously only be done for single transmit and receive antennas. Simulation results show that at high SNR the mutual information is maximized for M=min(N, T/2) transmit antennas, where N is the number of receive antennas and T is the length of the coherence interval, whereas at low SNR the mutual information is maximized by allocating all transmit power to a single antenna
Keywords :
Rayleigh channels; channel capacity; matrix algebra; probability; radio links; random processes; receiving antennas; transmitting antennas; channel capacity; channel-state information; closed-form received signal density; coherence interval length; flat Rayleigh block-fading; independent unitary matrix; isotropically-random unitary inputs; isotropically-random unitary matrix; low SNR; multiple antenna wireless link; multiple-antennas; mutual information; orthonormal columns; probability density; receive antennas; received signal; simulation results; transmit antennas; Additive noise; Capacity planning; Computational modeling; Mutual information; Probability; Rayleigh channels; Receiving antennas; Symmetric matrices; Transmitters; Transmitting antennas;
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
DOI :
10.1109/ISIT.2001.936204