Open AccessPerformance Analysis of Intelligent Reflecting Surfaces in Multi-Input-Single-Output Indoor Hotspot Environment
Author(s) -
Anas Machfudy Al Junaedi,
Sholeh Hadi Pramono,
Muhammad Fauzan Edy Purnomo
Publication year - 2021
Publication title -
international journal of computer applications technology and research
Language(s) - English
Resource type - Journals
ISSN - 2319-8656
DOI - 10.7753/ijcatr1012.1001
Subject(s) - computer science , relay , software deployment , hotspot (geology) , latency (audio) , efficient energy use , transmission (telecommunications) , computer network , boosting (machine learning) , telecommunications , electrical engineering , power (physics) , physics , engineering , quantum mechanics , machine learning , geophysics , geology , operating system
The evolution of 5G and beyond is boosting the development of telecommunication technology. In the future communication system, achievable rate and energy efficiency become the main aspects due to highly reliable and low latency requirements. Applying multiple antennas and applying cooperative communication scenarios to the system may enhance the network's performance. Intelligent reflecting surfaces (IRS) and relaying protocols are some examples of cooperative communication applications. IRS is multiple two-dimensional meta-surface elements that can reflect the incoming signal to get the desirable beam-forming based on its phase. While the relay is a device that can be used to enhance the performance of the networks based on its protocols such as amplify forward (AF) and decode forward (DF). Accordingly, this paper studies an IRS supporting MISO transmission and compares it with the relay deployment scenario. As a result, IRS has higher performance compared with any other scenario, and adding more IRS elements may enhance the achievable rate.