Title :
Fast channel estimation techniques for LTE downlink systems based on fast linear Toeplitz system solver
Author :
Khlifi, Abdelhakim ; Bouallegue, R.
Author_Institution :
Innov´COM Lab., Univ. of Carthage, Tunis, Tunisia
Abstract :
LTE is defined as the 4G generation network providing high data rates. Channel estimation is important in the wireless system conception. Classical LMMSE channel estimation techniques require O(N3) floating operations and O(N2) memory locations (N is the size of the channel autocorrelation). In this paper, we propose fast channel estimation techniques for LTE based on fast solver for linear Toeplitz system with reconstructible Cauchy-like structure. Proposed fast algorithms require only O(N2) floating operations and O(N) memory locations. Performances of proposed fast algorithms are verified via Monte-Carlo MATLAB simulations.
Keywords :
4G mobile communication; Long Term Evolution; Monte Carlo methods; channel estimation; computational complexity; least mean squares methods; 4G generation network; LMMSE techniques; LTE downlink systems; Monte-Carlo MATLAB simulations; channel autocorrelation; fast channel estimation techniques; fast linear Toeplitz system solver; floating operations; memory locations; reconstructible Cauchy-like structure; wireless system conception; Channel estimation; Correlation; Downlink; Educational institutions; Fading; OFDM; Signal to noise ratio; GSA; LMMSE; LTE; channel matrix autocorrelation;
Conference_Titel :
Advanced Communication Technology (ICACT), 2014 16th International Conference on
Conference_Location :
Pyeongchang
Print_ISBN :
978-89-968650-2-5
DOI :
10.1109/ICACT.2014.6779023