Exact closed-form expression for the inverse moments of one-sided correlated Gram matrices
Type
Conference PaperKAUST Department
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) DivisionElectrical Engineering Program
KAUST Grant Number
ORS#2221Date
2016-08-15Online Publication Date
2016-08-15Print Publication Date
2016-07Permanent link to this record
http://hdl.handle.net/10754/622658
Metadata
Show full item recordAbstract
In this paper, we derive a closed-form expression for the inverse moments of one sided-correlated random Gram matrices. Such a question is mainly motivated by applications in signal processing and wireless communications for which evaluating this quantity is a question of major interest. This is for instance the case of the best linear unbiased estimator, in which the average estimation error corresponds to the first inverse moment of a random Gram matrix.Citation
Elkhalil K, Kammoun A, Al-Naffouri TY, Alouini M-S (2016) Exact closed-form expression for the inverse moments of one-sided correlated Gram matrices. 2016 IEEE International Symposium on Information Theory (ISIT). Available: http://dx.doi.org/10.1109/ISIT.2016.7541684.Sponsors
This work was funded by a CRG3 grant ORS#2221 from the Office of Competitive Research (OCRF) at King Abdullah University of Science and Technology (KAUST).Conference/Event name
2016 IEEE International Symposium on Information Theory, ISIT 2016Additional Links
http://ieeexplore.ieee.org/document/7541684/ae974a485f413a2113503eed53cd6c53
10.1109/ISIT.2016.7541684