Performance Analysis of RIS-Aided THz Wireless Systems over α-μ Fading: An Approximate Closed-Form Approach

In this paper, we study a reconfigurable intelligent surfaces (RIS)-assisted Terahertz (THz) wireless systems with hardware impairments, where α-μ small-scale fading is considered for THz links in accordance with a recent measurement campaign. Firstly, we propose an accurate closed-form approximatio...

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Vydané v:IEEE internet of things journal Ročník 11; číslo 1; s. 1
Hlavní autori: Le, Ngoc Phuc, Alouini, Mohamed-Slim
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Piscataway IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:
Absorption
Algorithms
Approximation
Array signal processing
Closed form solutions
Dynamic programming
energy efficiency
ergodic capacity
Exact solutions
Fading
Hardware
Iterative methods
Mathematical analysis
outage probability
Power system reliability
Probability
Quadratures
Reconfigurable intelligent surface
Signal to noise ratio
Statistical analysis
Terahertz communications
Wireless communication
Wireless communications
α-μ fading
ISSN:2327-4662, 2327-4662
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Shrnutí:In this paper, we study a reconfigurable intelligent surfaces (RIS)-assisted Terahertz (THz) wireless systems with hardware impairments, where α-μ small-scale fading is considered for THz links in accordance with a recent measurement campaign. Firstly, we propose an accurate closed-form approximation of a weighted sum of cascaded non-identical α-μ variates based on the Gauss-Laguerre quadrature and a moment-matching method. This approximate approach facilitates analysis of the RIS-THz system over α-μ fading channels. To demonstrate, we derived closed-form expressions of the outage probability (OP), the ergodic capacity (EC), and the energy-efficiency (EE) of the system based on the proposed approximation. Secondly, we approximately characterize the end-to-end channel of the RIS-THz system when the number of RIS elements is large in scenarios with or without the presence of phase-shift errors. Based on this statistical characterization, the closed-form expressions of the OP, the EC, and the EE of the large-size RIS-THz system are obtained. Furthermore, we devise a low-complexity algorithm that jointly optimizes the transmit power and RIS element activation (i.e., ON/OFF RIS) to maximize the EE in the RIS-THz systems. This algorithm adopts an iterative dynamic programming approach for a maximum subarray problem (i.e., Kadane's algorithm). Finally, simulations are provided to validate the accuracy of the theoretical analysis as well as demonstrate the efficacy of the devised algorithm.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2023.3288588