Improper Gaussian Signaling for IRS Assisted Multiuser SWIPT Systems With Hardware Impairments

In this paper, we focus on intelligent reflecting surface (IRS) assisted multiuser simultaneous wireless information and power transfer (SWIPT) systems with hardware impairments (HWIs), which result from the aggregate effect of in-phase and quadrature-phase imbalance (IQI), power amplifier non-linea...

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Vydané v:	IEEE transactions on vehicular technology Ročník 72; číslo 10; s. 1 - 15
Hlavní autori:	Fang, Junjie, Zhang, Chao, Wu, Qingqing, Li, Ang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.10.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Array signal processing Beamforming Coefficients Energy requirements Hardware hardware impairments improper Gaussian signaling Information rates Intelligent reflecting surface Iterative methods MIMO communication non-convex optimization Optimization Optimization algorithms Phase noise Power amplifiers Power transfer Quadratures Signal distortion SWIPT System effectiveness Transceivers User requirements Wireless communication
ISSN:	0018-9545, 1939-9359
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Abstract	In this paper, we focus on intelligent reflecting surface (IRS) assisted multiuser simultaneous wireless information and power transfer (SWIPT) systems with hardware impairments (HWIs), which result from the aggregate effect of in-phase and quadrature-phase imbalance (IQI), power amplifier non-linearity, quantization distortion, phase noise, etc. Improper Gaussian signaling (IGS) is employed to combat the signal distortion incurred by HWIs and the interference from other users. We aim to maximize the minimum achievable information rate among all users by jointly optimizing the active beamforming vectors, passive reflecting coefficients, and power splitting coefficients, subject to the minimum harvested energy requirements of these users and the total power budget at the transmitter. Due to the intricate coupling between the reflecting coefficients and beamforming vectors, we propose a two-level iterative optimization algorithm to solve this non-convex problem. Based on the above, we also study the weighted rate-energy region maximization problem. Numerical results show that the use of IGS significantly outperforms traditional proper Gaussian signaling (PGS) in the considered systems and also affirm the effectiveness of the proposed optimization algorithm.
AbstractList	In this paper, we focus on intelligent reflecting surface (IRS) assisted multiuser simultaneous wireless information and power transfer (SWIPT) systems with hardware impairments (HWIs), which result from the aggregate effect of in-phase and quadrature-phase imbalance (IQI), power amplifier non-linearity, quantization distortion, phase noise, etc. Improper Gaussian signaling (IGS) is employed to combat the signal distortion incurred by HWIs and the interference from other users. We aim to maximize the minimum achievable information rate among all users by jointly optimizing the active beamforming vectors, passive reflecting coefficients, and power splitting coefficients, subject to the minimum harvested energy requirements of these users and the total power budget at the transmitter. Due to the intricate coupling between the reflecting coefficients and beamforming vectors, we propose a two-level iterative optimization algorithm to solve this non-convex problem. Based on the above, we also study the weighted rate-energy region maximization problem. Numerical results show that the use of IGS significantly outperforms traditional proper Gaussian signaling (PGS) in the considered systems and also affirm the effectiveness of the proposed optimization algorithm. In this article, we focus on intelligent reflecting surface (IRS) assisted multiuser simultaneous wireless information and power transfer (SWIPT) systems with hardware impairments (HWIs), which result from the aggregate effect of in-phase and quadrature-phase imbalance (IQI), power amplifier non-linearity, quantization distortion, phase noise, etc. Improper Gaussian signaling (IGS) is employed to combat the signal distortion incurred by HWIs and the interference from other users. We aim to maximize the minimum achievable information rate among all users by jointly optimizing the active beamforming vectors, passive reflecting coefficients, and power splitting coefficients, subject to the minimum harvested energy requirements of these users and the total power budget at the transmitter. Due to the intricate coupling between the reflecting coefficients and beamforming vectors, we propose a two-level iterative optimization algorithm to solve this non-convex problem. Based on the above, we also study the weighted rate-energy region maximization problem. Numerical results show that the use of IGS significantly outperforms traditional proper Gaussian signaling (PGS) in the considered systems and also affirm the effectiveness of the proposed optimization algorithm.
Author	Wu, Qingqing Fang, Junjie Li, Ang Zhang, Chao
Author_xml	– sequence: 1 givenname: Junjie surname: Fang fullname: Fang, Junjie organization: School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, China – sequence: 2 givenname: Chao orcidid: 0000-0002-5884-2169 surname: Zhang fullname: Zhang, Chao organization: School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, China – sequence: 3 givenname: Qingqing orcidid: 0000-0002-0043-3266 surname: Wu fullname: Wu, Qingqing organization: State Key Laboratory of Internet of Things for Smart City, University of Macau, China – sequence: 4 givenname: Ang orcidid: 0000-0001-8235-7596 surname: Li fullname: Li, Ang organization: School of Information and Communications Engineering, Xi'an Jiaotong University, Xi'an, China
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Snippet	In this paper, we focus on intelligent reflecting surface (IRS) assisted multiuser simultaneous wireless information and power transfer (SWIPT) systems with... In this article, we focus on intelligent reflecting surface (IRS) assisted multiuser simultaneous wireless information and power transfer (SWIPT) systems with...
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SubjectTerms	Algorithms Array signal processing Beamforming Coefficients Energy requirements Hardware hardware impairments improper Gaussian signaling Information rates Intelligent reflecting surface Iterative methods MIMO communication non-convex optimization Optimization Optimization algorithms Phase noise Power amplifiers Power transfer Quadratures Signal distortion SWIPT System effectiveness Transceivers User requirements Wireless communication
Title	Improper Gaussian Signaling for IRS Assisted Multiuser SWIPT Systems With Hardware Impairments
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