Exact closed-form expression for the inverse moments of one-sided correlated Gram matrices
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
KAUST Grant NumberORS#2221
Online Publication Date2016-08-15
Print Publication Date2016-07
Permanent link to this recordhttp://hdl.handle.net/10754/622658
MetadataShow full item record
AbstractIn 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.
CitationElkhalil 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.
SponsorsThis 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 name2016 IEEE International Symposium on Information Theory, ISIT 2016