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 -