Title :
Least Mean Square algorithm analysis for a high capacity mobile Long Term Evolution network
Author :
Vieira dos Santos, Leandro ; Silva Pereira, Jacqueline
Author_Institution :
Dept. of Telecommun. Eng., Univ. Fed. Fluminense, Niteroi, Brazil
Abstract :
Modern communication networks use MIMO to achieve high transmission data rates. A special case of MIMO is a technic called Beamforming [1], which allows formatting a radiation pattern of an antenna in order to improve the gain at a given direction. Beamforming uses adaptive filters to steer the beams in a desired direction. The Least-Mean Square (LMS) [1] is an algorithm that performs this function of the adaptive filter. To perform the convergence of the algorithm, simulations will be performed in a Long-Term Evolution (LTE) mobile network.
Keywords :
Long Term Evolution; MIMO communication; adaptive antenna arrays; adaptive filters; antenna radiation patterns; array signal processing; least mean squares methods; LMS; LTE mobile network; MIMO; adaptive filters; antenna radiation pattern; beam steering; beamforming; high capacity mobile long term evolution network; least mean square algorithm analysis; modern communication networks; smart antenna; transmission data rates; Antennas; MIMO; Multiple signal classification; DOA; MIMO and eNode B; Smart antennas; beamforming;
Conference_Titel :
Microwave & Optoelectronics Conference (IMOC), 2013 SBMO/IEEE MTT-S International
Conference_Location :
Rio de Janeiro
DOI :
10.1109/IMOC.2013.6646429
