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Intelligent reflective surfaces in 5G and beyond: optimizing uplink satellite connectivity for IoT
Callistus Odinaka Obidiozor1, Adeeb Sait1, Tawfik Al-Hadhrami1
1Computer Science Department, School of Science and Technology, Nottingham Trent University, Nottingham, United Kingdom.
Intelligent Reflective Surfaces (IRS) significantly boost satellite communication for the Internet of Things (IoT). This technology enhances signal quality, spectral efficiency, and data rates, overcoming traditional communication barriers.
Area of Science:
- Wireless Communication
- Satellite Technology
- Internet of Things (IoT)
Background:
- Traditional satellite communication faces challenges in supporting dense Internet of Things (IoT) ecosystems.
- Intelligent Reflective Surfaces (IRS) offer a novel approach to enhance signal propagation and network performance.
Purpose of the Study:
- To investigate the impact of IRS integration on uplink satellite communication for IoT.
- To quantify improvements in signal quality and communication efficiency using IRS.
Main Methods:
- Simulation-based modeling using MATLAB and Simulink for uplink IoT-to-satellite transmission.
- Analysis of key performance metrics: Signal-to-Noise Ratio (SNR), spectral efficiency, signal strength, and interference.
- Optimization of IRS phase shifts and beamforming via a reinforcement learning algorithm.
Main Results:
- IRS integration resulted in a 2 dB increase in SNR compared to systems without IRS.
- Significant improvements observed in spectral efficiency, data transmission rates, and overall signal quality.
- IRS effectively mitigated interference and expanded the coverage area of satellite networks.
Conclusions:
- IRS technology substantially enhances satellite-supported IoT communication, improving key performance indicators.
- IRS offers practical solutions for applications like smart cities, remote sensing, and disaster recovery.
- The study underscores the strategic value of IRS in advancing IoT-satellite communication systems.
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