Open AccessHybrid MVDR-LMS beamforming for Massive MIMO
Author(s) -
Yasmine M. Tabra,
Bayan M. Sabbar
Publication year - 2019
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v16.i2.pp715-723
Subject(s) - beamforming , matlab , computer science , mimo , least mean squares filter , interference (communication) , smart antenna , antenna (radio) , set (abstract data type) , single antenna interference cancellation , algorithm , electronic engineering , engineering , telecommunications , directional antenna , adaptive filter , decoding methods , channel (broadcasting) , programming language , operating system
With the high speed of communication in LTE-5G, fast beamforming techniques need to be adopted. The training time required to form and steer the main lobes toward 5G multiple users must be short. Least-Mean-Square (LMS) training time is not suitable to work with in LTE-5G, but it has a good performance in forming multiple beams to large number of users and producing nulls in the interference direction. In this paper, an optimized hybrid MVDR-LMS beamforming algorithm is proposed to reduce the time required to estimate the antenna’s weights. This optimization is made by the benefit of previously set weights calculated using MVDR algorithms. The performance of the proposed hybrid MVDR-LMS algorithm tested using MATLAB 2016a.