TY - GEN

T1 - Exact closed-form expression for the inverse moments of one-sided correlated Gram matrices

AU - Elkhalil, Khalil

AU - Kammoun, Abla

AU - Al-Naffouri, Tareq Y.

AU - Alouini, Mohamed-Slim

N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): ORS#2221
Acknowledgements: 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).

PY - 2016/8/15

Y1 - 2016/8/15

N2 - 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.

AB - 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.

UR - http://hdl.handle.net/10754/622658

UR - http://ieeexplore.ieee.org/document/7541684/

UR - http://www.scopus.com/inward/record.url?scp=84985905346&partnerID=8YFLogxK

U2 - 10.1109/ISIT.2016.7541684

DO - 10.1109/ISIT.2016.7541684

M3 - Conference contribution

SN - 9781509018062

SP - 2174

EP - 2178

BT - 2016 IEEE International Symposium on Information Theory (ISIT)

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -