Title :
On the Capacity of Linear Vector Gaussian Channels with Magnitude Knowledge and Phase Uncertainty
Author :
Payaró, Miquel ; Wiesel, Ami ; Yuan, Jinhong ; Lagunas, Miguel Ángel
Author_Institution :
Centre Tecnologic de Telecomunicacions de Catalunya
Abstract :
We are interested in studying different capacity formulations in linear vector Gaussian channels where the transmitter is only informed with the magnitude of the complex channel matrix coefficients and the receiver has perfect channel knowledge. Initially, we give the general expressions for the ergodic, compound, and outage capacities for our particular model of channel state information. Next, focusing on the compound formulation, we find that the optimal transmitter strategy consists in independent signaling through the transmit dimensions. Finally, we present a new result on the power allocation for the maximization of the outage mutual information
Keywords :
Gaussian channels; channel capacity; matrix algebra; radio transmitters; telecommunication signalling; channel capacity; channel matrix coefficients; channel state information; independent signaling; linear vector Gaussian channels; magnitude knowledge; phase uncertainty; power allocation; transmitter; Ambient intelligence; Channel state information; Covariance matrix; Gaussian channels; Genetic expression; Mutual information; Telecommunications; Transmitters; Uncertainty; Vectors;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
Print_ISBN :
1-4244-0469-X
DOI :
10.1109/ICASSP.2006.1661031