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Average Rate Analysis of RIS-aided Short Packet Communication in URLLC Systems
In this paper, the average achievable rate of a re-configurable intellig...
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Bit Error Rate Analysis for Reconfigurable Intelligent Surfaces with Phase Errors
In this paper, we analyze the error probability of reconfigurable intell...
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Reconfigurable Intelligent Surface Aided TeraHertz Communications Under Misalignment and Hardware Impairments
TeraHertz (THz) communications are envisioned to help satisfy the ever h...
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Performance Analysis of Distributed Intelligent Reflective Surfaces for Wireless Communications
In this paper, a comprehensive performance analysis of a distributed int...
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Propagation Modeling and Analysis of Reconfigurable Intelligent Surfaces for Indoor and Outdoor Applications in 6G Wireless Systems
In 5G networks, the enhanced mobile broadband, massive Internet-of-thing...
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Performance Evaluation and Diversity Analysis of RIS-Assisted Communications Over Generalized Fading Channels in the Presence of Phase Noise
In this paper, we develop a comprehensive theoretical framework for anal...
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Optimum Reconfigurable Intelligent Surface Selection for Indoor and Outdoor Communications
The reconfigurable intelligent surface (RIS) is a promising technology t...
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Average Rate and Error Probability Analysis in Short Packet Communications over RIS-aided URLLC Systems
In this paper, the average achievable rate and error probability of a reconfigurable intelligent surface (RIS) aided systems is investigated for the finite blocklength (FBL) regime. The performance loss due to the presence of phase errors arising from limited quantization levels as well as hardware impairments at the RIS elements is also discussed. First, the composite channel containing the direct path plus the product of reflected channels through the RIS is characterized. Then, the distribution of the received signal-to-noise ratio (SNR) is matched to a Gamma random variable whose parameters depend on the total number of RIS elements, phase errors and the channels' path loss. Next, by considering the FBL regime, the achievable rate expression and error probability are identified and the corresponding average rate and average error probability are elaborated based on the proposed SNR distribution. Furthermore, the impact of the presence of phase error due to either limited quantization levels or hardware impairments on the average rate and error probability is discussed. The numerical results show that Monte Carlo simulations conform to matched Gamma distribution to received SNR for sufficiently large number of RIS elements. In addition, the system reliability indicated by the tightness of the SNR distribution increases when RIS is leveraged particularly when only the reflected channel exists. This highlights the advantages of RIS-aided communications for ultra-reliable and low-latency systems. The difference between Shannon capacity and achievable rate in FBL regime is also discussed. Additionally, the required number of RIS elements to achieve a desired error probability in the FBL regime will be significantly reduced when the phase shifts are performed without error.
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