@article{MAKHILLIJSSCEA201912528816,
    title = {Beamforming in Massive MIMO},
    journal = {International Journal of System Signal Control and Engineering Application},
    volume = {12},
    number = {5},
    pages = {116-120},
    year = {2019},
    issn = {1997-5422},
    doi = {ijssceapp.2019.116.120},
    url = {https://makhillpublications.co/view-article.php?issn=1997-5422&doi=ijssceapp.2019.116.120},
    author = {Mohammed,Rashid and},
    keywords = {LMS,RLS,massive MIMO,beamforming,project},
    abstract = {Beamforming is a type of spatial filtering and
a process of signal processing techniques that is used in
sensor arrays or antenna array for directing the signal
transmission or reception. This is achieved by combining
elements that in a phased array in such as a way that
signals at specific angles face constructive interference
while others facing destructive interference. Beamforming
is used at both the transmitting end and receiving end in
order to realize spatial selectivity. The main problem
occurs while serving a huge number of Users on a
network with a limited network resources which reduce
the performance of the network, some of the urban-areas
can be fulfill with users in a unique direction. The
beamforming become is a technique used to focus the
network resources to a specific direction and change the
pattern of the antenna. The goal of the project is to design
and simulate the adaptive beamforming technique in
Matlab environment after study and analysis the
beamforming techniques especially the adaptive
beamforming method and selecting two beamforming
algorithms to be evaluated in term of QoS parameters.}
    }