DocumentCode
455311
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
Volume
4
fYear
2006
fDate
14-19 May 2006
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location
Toulouse
ISSN
1520-6149
Print_ISBN
1-4244-0469-X
Type
conf
DOI
10.1109/ICASSP.2006.1661031
Filename
1661031
Link To Document