README.md

This code relates to my article titled MIMO Capacity Maximization With a Practical Model for Reconfigurable Intelligent Surfaces published in IEEE Wireless Communications Letters. The journal can be accessed via this link: https://ieeexplore.ieee.org/document/10681131

The pre-peer-reviewer version of the journal can be accessed at https://www.researchgate.net/publication/384189324_MIMO_Capacity_Maximization_with_a_Practical_Model_for_Reconfigurable_Intelligent_Surfaces

The code is written in Python with the numpy framework for linear algebra computation, along with other frameworks like matplotlib for plotting, time for measuring computation time, etc.

The following files generate the plots that appear in the paper:

• plot_SE_time_vs_M.py -> Fig. 2 and 4
• plot_SE_vs_Resist_v2.py -> Fig. 3

Those two files call the cores functions:

• MIMO_RIS_Prac.py -> the proposed algorithm
• Judd22.py -> my previous work based on ideally-modeled RIS. Please refer to https://github.com/AhmadSirojuddin/Low-Complexity-Sum-Capacity-Maximization-for-Intelligent-Reflecting-Surface-Aided-MIMO-Systems
• Boyu20.py -> one benchmark paper
• Wang21.py -> one benchmark paper

Disclaimer: the last two codes are self-remaking. If you want the authors' original code, please email them directly.

I am open to research collaborations. Please contact me at: sirojuddin@its.ac.id