Max-Min Fair Energy-Efficient Beamforming Design for Intelligent Reflecting Surface-Aided SWIPT Systems With Non-Linear Energy Harvesting Model

Zargari, Shayan; Khalili, Ata; Wu, Qingqing; Mili, Mohammad Robat; Ng, Derrick Wing Kwan

doi:10.1109/tvt.2021.3077477

Cited by 105 publications

(60 citation statements)

References 63 publications

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“…Moreover, another recent study on the topic of maxmin energy-efficiency fairness in [157], proposed a different fairness algorithm for IRS-aided MISO SWIPT network with non-linear EH model. Here, the authors considered colocated receivers relying on PS.…”

Section: ) State-of-the-artmentioning

confidence: 99%

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Munochiveyi

Pogaku

Do³

et al. 2021

IEEE Access

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Reconfigurable intelligent surface (RIS)-aided communication is considered as an exciting research topic in academic and industrial communities since it provides an emerging affordable solution to achieve high quality and secure next-generation wireless systems. Especially, the deployment of RIS in multi-user wireless networks promises to reduce system hardware costs, signal processing complexity, as well as energy consumption due to small size, lightweight and ability to actively shape the wireless propagation environment. Further, by realizing a cost-effective radio environment, RIS-aided communication can be implemented to be an appealing technology for future integration with other emerging wireless applications and communication systems. Despite the positive appeal, RISs face new challenges that hinder integrating efficiently into wireless networks, such as network secrecy performance and system sum-rates, as well as achieving efficient deployment design in highly dynamic and time-varying wireless environments. To this end, we overview recent state-of-the-art techniques to address the above issues faced in the integration of RISs with various emerging multi-user communication techniques, such as Unmanned Aerial Vehicles (UAVs), Non-Orthogonal Multiple Access (NOMA), Millimeter Wave (mmWave) and Terahertz (THz) communications, Physical Layer Security (PLS), massive antennas, and Simultaneous Wireless Information and Power Transfer (SWIPT). Finally, we highlight promising future research directions of RIS-aided communication in Cell-Free Massive Multiple-Input-Multiple-Output (MIMO) systems, Rate-Splitting Multiple Access (RSMA), Light Fidelity (LiFi), and Cognitive Radio (CR) systems.

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Section: ) State-of-the-artmentioning

confidence: 99%

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Munochiveyi

Pogaku

Do³

et al. 2021

IEEE Access

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“…Algorithm 1 EW-based algorithm for solving problem (7). 1: Initialize IRS phase-shift vector v r , time allocation τ r , z r , transmit covariance matrices {Q r k }, iteration index r = 0, and threshold ε. Update IRS phase shift v k,m by solving problem (27).…”

Section: ) Optimize Vmentioning

confidence: 99%

“…Inspired by this fundamental insight, IRS-aided wireless communications have been intensively studied for various system setups including physical layer security [15]- [17], multi-cell cooperation [18]- [20], non-orthogonal multiple access (NOMA) [21]- [23]. While most of existing works focus on the IRS-aided WIT, the IRS is also appealing for WET [24]- [27]. First, due to the large aperture of IRS, the signals reflected by the properly reconfigured IRS can be coherently added up with the non-IRS reflected signals at the desired devices/HAP to substantially boost DL WET and UL WIT.…”

Section: Introductionmentioning

confidence: 99%

Throughput Maximization for IRS-Aided MIMO FD-WPCN with Non-Linear EH Model

Hua,

2021

Preprint

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This paper studies an intelligent reflecting surface (IRS)-aided multiple-input-multiple-output (MIMO) full-duplex (FD) wireless-powered communication network (WPCN), where a hybrid access point (HAP) operating in FD broadcasts energy signals to multiple devices for their energy harvesting (EH) in the downlink (DL) and meanwhile receives information signals from devices in the uplink (UL) with the help of an IRS. Taking into account the practical finite self-interference (SI) and the nonlinear EH model, we formulate the weighted sum throughput maximization optimization problem by jointly optimizing DL/UL time allocation, precoding matrices at devices, transmit covariance matrices at the HAP, and phase shifts at the IRS. Since the resulting optimization problem is non-convex, there are no standard methods to solve it optimally in general. To tackle this challenge, we first propose an element-wise (EW) based algorithm, where each IRS phase shift is alternately optimized in an iterative manner. To reduce the computational complexity, a minimum mean-square error (MMSE) based algorithm is proposed, where we transform the original problem into an equivalent form based on the MMSE method, which facilities the design of an efficient iterative algorithm. In particular, the IRS phase shift optimization problem is recast as an second-order cone program (SOCP), where all the IRS phase shifts are simultaneously optimized. For comparison, we also study two suboptimal IRS beamforming configurations in simulations, namely partially dynamic IRS beamforming (PDBF) and static IRS beamforming (SBF), which strike a balance between the system performance and practical complexity. Simulation results demonstrate the effectiveness of proposed two algorithms. Besides, the results show the superiority of our proposed scheme over other benchmark schemes and also unveil the importance of the joint design of passive beamforming and resource allocation for achieving energy efficient MIMO FD-WPCNs.

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“…Then an efficient algorithm developed by SDR technique, MM algorithm and Dinkelbach approach, was proposed for addressing this problem. In [42], the authors studied the maxmin energy efficiency of the IRS-assisted SWIPT system, and proposed an efficient alternate optimization (AO) algorithm by capitalizing on the penalty-based method, SDR technique and MM approach.…”

Section: Introductionmentioning

confidence: 99%

“…Most exiting works on IRS-assisted MIMO SWIPT systems focus on minimizing the transmission power, or maximizing the received power, or maximizing energy efficiency [36]- [39], [41], [42]. For the work on IRS-assisted MIMO SWIPT system focusing on maximizing sum-rate, the receivers for ID and EH are separated devices [40].…”

Section: Introductionmentioning

confidence: 99%

A Joint Power Splitting, Active and Passive Beamforming Optimization Framework for IRS Assisted MIMO SWIPT System

He¹,

Xie²,

Yang³

et al. 2021

Preprint

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This paper considers an intelligent reflecting surface (IRS) assisted multi-input multi-output (MIMO) power splitting (PS) based simultaneous wireless information and power transfer (SWIPT) system with multiple PS receivers (PSRs). The objective is to maximize the achievable data rate of the system by jointly optimizing the PS ratios at the PSRs, the active transmit beamforming (ATB) at the access point (AP), and the passive reflective beamforming (PRB) at the IRS, while the constraints on maximum transmission power at the AP, the reflective phase shift of each element at the IRS, the individual minimum harvested energy requirement of each PSR, and the domain of PS ratio of each PSR are all satisfied. For this unsolved problem, however, since the optimization variables are intricately coupled and the constraints are conflicting, the formulated problem is non-convex, and cannot be addressed by employing exist approaches directly. To this end, we propose a joint optimization framework to solve this problem. Particularly, we reformulate it as an equivalent form by employing the Lagrangian dual transform and the fractional programming transform, and decompose the transformed problem into several sub-problems. Then, we propose an alternate optimization algorithm by capitalizing on the dual subgradient method, the successive convex approximation method, and the penalty-based majorization-minimization approach, to solve the sub-problems iteratively, and obtain the optimal solutions in nearly closed-forms. Numerical simulation results verify the effectiveness of the IRS in SWIPT system and indicate that the proposed algorithm offers a substantial performance gain.

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Max-Min Fair Energy-Efficient Beamforming Design for Intelligent Reflecting Surface-Aided SWIPT Systems With Non-Linear Energy Harvesting Model

Cited by 105 publications

References 63 publications

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Throughput Maximization for IRS-Aided MIMO FD-WPCN with Non-Linear EH Model

A Joint Power Splitting, Active and Passive Beamforming Optimization Framework for IRS Assisted MIMO SWIPT System

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