Open AccessSum-Rate Analysis of Intelligent Reflecting Surface Aided Multi-User Millimeter Wave Communications System
Author(s) -
Samarendra Nath Sur,
Arun Kumar Singh,
Debdatta Kandar,
Rabindranath Bera
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1921/1/012050
Subject(s) - beamforming , extremely high frequency , minimum mean square error , computer science , spectral efficiency , communications system , optimization problem , electronic engineering , mean squared error , joint (building) , millimeter , telecommunications , algorithm , mathematics , optics , physics , engineering , architectural engineering , statistics , estimator
Intelligent reflecting surface (IRS) is emerging as one of the potential solutions for the future generation communication system. By exploiting a controllable large number of passive elements, IRS is envisioned to provide a high spectral and energy-efficient network. For successful implementation of IRS, it is required to have optimization at a different level and here, this paper analyzed the sum-rate performance of a IRS assisted multi-user(MU) millimeter wave(mmWave) system by exploiting the joint optimization of the active and passive beamforming. Here in this paper, we have considered zero-forcing (ZF) and minimum mean square error(MMSE) based linear precoder. Through the simulation, we have demonstrated the achievable gain due to optimization, and also a relative performance comparison between the precoders is also presented.