Björnson, E., Özdogan, Ö., & Larsson, E. G. (2019). Intelligent Reflecting Surface vs. Decode-and-Forward: How Large Surfaces Are Needed to Beat Relaying? IEEE Wireless Communications Letters.
This paper investigates the performance of intelligent reflecting surfaces (IRS) in comparison to traditional decode-and-forward (DF) relaying for wireless communication. The study aims to determine the minimum size (number of elements) an IRS needs to outperform DF relaying in terms of rate and energy efficiency.
The authors develop analytical expressions for the achievable rates and total power consumption of both IRS-supported transmission and DF relaying systems. They consider a simplified system model with deterministic flat-fading channels and optimize both technologies by computing the optimal transmit powers and the optimal number of elements in an IRS. Numerical simulations based on realistic channel models are then used to validate the analytical findings and compare the performance of both technologies under different scenarios.
Although IRS is a promising technology for future wireless communication, its practical implementation requires overcoming the limitation of large surface sizes to compete with existing relaying techniques. The authors suggest that further research is needed to explore more efficient IRS designs and optimize their performance in realistic channel conditions.
This study provides valuable insights into the practical limitations of IRS and highlights the importance of considering both rate and energy efficiency when comparing different wireless communication technologies. The findings have significant implications for the design and deployment of future wireless networks, particularly in scenarios where relaying is currently employed.
The study assumes ideal phase-shifting and frequency-flat channels, which may not hold true in practice. Future research should investigate the impact of practical impairments on IRS performance and explore advanced signal processing techniques to mitigate these limitations. Additionally, the study focuses on a single-antenna scenario; extending the analysis to multi-antenna systems could reveal further insights into the relative merits of IRS and relaying.
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