The rapid evolution of mobile communication systems promises transformative gains in data rates, reliability, energy efficiency, and latency.
Realizing these benefits, however, is hindered by challenges such as severe path loss and blockage at high-f...
The rapid evolution of mobile communication systems promises transformative gains in data rates, reliability, energy efficiency, and latency.
Realizing these benefits, however, is hindered by challenges such as severe path loss and blockage at high-frequency bands and the substantial cost and power consumption of large antenna arrays.
Reconfigurable intelligent surfaces (RIS) have emerged as a low-power and cost-effective solution capable of reshaping wireless propagation environments to enhance link performance.
This dissertation investigates the potential of RIS to address key limitations of modern wireless networks through four major contributions: a practical demonstration of RIS-aided wireless communications, low-complexity compressive sensing (CS)-based channel estimation techniques, a novel RIS direct modulation concept, and an RIS-integrated user terminal concept for low Earth orbit (LEO) satellite communications.
The first study demonstrates the capability of RIS to support conventional wireless communications through real-world experiments.
Unlike prior works that predominantly focus on simulation-based analyses, the experimental approach highlights practical implementation insights and validates the feasibility of RIS in assisting conventional wireless communications.
The second study tackles the challenge of channel estimation, including in wideband communications, by exploiting the inherent sparsity of the channel in both the time and frequency domains.
The proposed method significantly reduces channel estimation overhead, thereby enhancing the practicality of RIS-assisted systems for real-world applications.
The third study investigates the use of RIS as a sole modulator for direct data transmission.
This novel approach demonstrates how RIS can function beyond traditional applications, modulating its own information without the need for additional hardware modification or a dedicated information transmitter.
This concept is validated through extensive simulations and experiments.
The fourth study extends RIS applications to LEO satellite links by proposing an RIS-integrated user terminal architecture, a deterministic geometric propagation model, wideband Ku-band RIS hardware, beam-squint mitigation strategies, and AoA estimation using RIS-enabled virtual sensors.
Collectively, this dissertation seeks to contribute to the theoretical and experimental understanding of RIS technology and explore its potential to improve the performance of wireless communication systems in practical scenarios.
The findings offer valuable insights that may support the development of more efficient, scalable, and cost-effective solutions for future generations of wireless communications.