Open Access3D Multiple Input Multiple Output Large-Scale Antenna Systems
Author(s) -
Saif Saad Hameed,
Fouad H. Awad,
Adnan Yousif Dawod,
Ayoob Abdulmunem Abdulhameed
Publication year - 2020
Publication title -
xi'nan jiaotong daxue xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.308
H-Index - 21
ISSN - 0258-2724
DOI - 10.35741/issn.0258-2724.55.6.1
Subject(s) - channel (broadcasting) , computer science , mean squared error , communications system , noise (video) , telecommunications , square (algebra) , scale (ratio) , electronic engineering , statistics , mathematics , engineering , artificial intelligence , physics , geometry , quantum mechanics , image (mathematics)
The channel could be evaluated by utilizing several estimation algorithms. The various patterns of pilot arrangements for the channel appreciation are a huge problem in channel appreciation techniques since all the processes depends on it; this paper discusses improvements in channel selection. The Least Square and Least Square Mean methods are common, simple ways to begin to estimate a channel; however, they are less efficient than more complex approaches. Due to the boost in demand with high data rates in communications, developers continue to invent new methods and mechanisms to adjust the capacity and the accuracy of the communication network. One of the primary troubles in wireless communication is the communication channel, which is affected by nonlinear and random noise sources, which decrease the quality of the service on the network; in this case, the channel must be equalized to increase performance with minimal error. In this paper, a Massive Multiple Input Multiple Output was designed and simulated in order to estimate the channel and the performance of the network through using Least Square and Least Square Mean.