8 September، 2021
Master thesis at Department of Electrical Engineering on “Study and Analysis of Massive MIMO Channel Algorithms Models”
A master thesis was discussed in Department of Electrical Engineering / College of Engineering / University of Mosul entitled “Study and Analysis of Massive MIMO Channel Algorithms Models” submitted by postgraduate student (Ban Aziz Asi) on Sunday, Sep. 5, 2021.The thesis included an proposed algorithm with improved estimation performance for rapidly changing channels, it is a bidirectional recursive least square (BIRLS) algorithm for estimating time-varying channels, the proposed algorithm works on estimating the channel in the forward and reverse directions. Although the idea of using adaptive algorithms for packet tracking and user channel estimation is not new, the suggestion of the idea of tracking using a bi-directional iterative algorithm (BIRLS) is a new idea. Derived from the traditional one-way (RLS) algorithm, this algorithm gives a steady state tracking performance very close to the minimum mean square error (MSE). However, it is characterized by an increased computational cost.
