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Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
Published on: February 3, 2021
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Energy efficient IRS assisted 6G network for Industry 5.0.
Ashu Taneja1, Shalli Rani2, Saleem Raza3
1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, 140401, India.
Scientific Reports
|August 7, 2023
Summary
Intelligent reflecting surfaces (IRSs) enhance energy efficiency in 6G wireless networks for Industry 5.0 applications. This study shows IRSs improve energy efficiency by 20% in massive Internet-of-Underwater Things (IoUT) networks.
Area of Science:
- Wireless Communication Engineering
- Network Optimization
- Artificial Intelligence Applications
Background:
- Industry 5.0 applications like smart healthcare and transportation face challenges with massive Internet-of-Things (IoT) devices and AI integration.
- Increasing communication reliability in IoT networks without adding energy overhead is a significant hurdle.
- Traditional relays are unsuitable for 6G networks due to high energy demands.
Purpose of the Study:
- To investigate the use of Intelligent Reflecting Surfaces (IRSs) in energy-constrained 6G wireless networks.
- To address communication challenges in Industry 5.0 and remote monitoring requirements.
- To evaluate the performance and energy efficiency of IRS-assisted 6G networks.
Main Methods:
- Studied IRS-assisted energy-constrained 6G wireless networks with IRS configurations.
- Developed a power consumption model for IRS-supported systems to optimize energy efficiency.
- Evaluated the impact of the number of reflecting elements (N) and phase resolution (b) on system performance.
Main Results:
- IRS-assisted wireless networks were evaluated for achieved target rates.
- A power consumption model was proposed to optimize energy efficiency.
- Energy efficiency improved by 20% for IRS with specific configurations compared to others.
Conclusions:
- IRSs offer a viable solution for enhancing energy efficiency in 6G wireless networks for Industry 5.0.
- The proposed power consumption model aids in optimizing system energy efficiency.
- IRS configuration parameters significantly impact overall system performance and energy savings.
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