SWIPT Systems Research Articles

Energy Minimization for Active RIS-Aided UAV-Enabled SWIPT Systems

Energy Minimization for Active RIS-Aided UAV-Enabled SWIPT Systems

IRS-Assisted Coordinated Direct and Multiantenna Relay Transmission for MIMO SWIPT Systems

IRS-Assisted Coordinated Direct and Multiantenna Relay Transmission for MIMO SWIPT Systems

Optimal beam-focusing design for 6G near-field SWIPT systems

Optimal beam-focusing design for 6G near-field SWIPT systems

Robust beamforming design for energy harvesting efficiency maximization in RIS-aided SWIPT system

This paper investigates Energy Harvesting Efficiency (EHE) maximization problems for Reconfigurable intelligent surface (RIS) aided Simultaneous Wireless Information and Power Transfer (SWIPT). This system focuses on the imperfect RIS-related channel and explores the robust beamforming design to maximize the EHE of all energy receivers while respecting the maximum transmit power of the Access Point (AP), RIS phase shift constraints, and maintaining a minimum signal-to-interference plus noise ratio for all information receivers under both linear and non-linear EH models. To solve these non-convex problem, the channel uncertainty related infinite constraints are approximated by using the S-procedure. With the introduction of slack variables, the transformed subproblems can be iteratively solved using alternating algorithm. Simulation results demonstrate that RIS is able to increase the system EHE.

Beamforming Design of IRS-Assisted SWIPT System Based on Deep Reinforcement Learning

Beamforming Design of IRS-Assisted SWIPT System Based on Deep Reinforcement Learning

Hybrid Beamforming Based SWIPT System Satisfying Individual Rate and Energy Constraints

Hybrid Beamforming Based SWIPT System Satisfying Individual Rate and Energy Constraints

A General Connectivity Model for Non-Linear SWIPT Systems with Spatially Randomly Distributed Relays

A General Connectivity Model for Non-Linear SWIPT Systems with Spatially Randomly Distributed Relays

Joint Trajectory and Resource Optimization for UAV-Assisted SWIPT Systems: A Comparative Study of Linear and Nonlinear Energy Harvesting Models

Joint Trajectory and Resource Optimization for UAV-Assisted SWIPT Systems: A Comparative Study of Linear and Nonlinear Energy Harvesting Models

Rate-Splitting Multiple Access for Secure Communications Over CR MISO SWIPT Systems With Non-Linear EH Users

Rate-Splitting Multiple Access for Secure Communications Over CR MISO SWIPT Systems With Non-Linear EH Users

Research on The SWIPT System Throughput Based on Interference Signal Energy Collecting

Research on The SWIPT System Throughput Based on Interference Signal Energy Collecting

Information Energy Capacity Region for SWIPT Systems Over Rayleigh-Fading Channels

In this paper, we study the fundamental limits of simultaneous information and power transfer over a Rayleigh-fading channel, where the channel input is constrained to peak-power (PP) constraints that vary in each channel use by taking into account high-power amplifier (HPA) nonlinearities. In particular, a three-party communication system is considered, where a transmitter aims simultaneously conveying information to an information receiver and delivering energy to an energy harvesting receiver. For the special case of static PP constraints, we study the information-energy capacity region and the associated input distribution under: a) average-power and PP constraints at the transmitter, b) an HPA nonlinearity at the transmitter, and c) nonlinearity of the energy harvesting circuit at the energy receiver. By extending Smith’s mathematical framework, we show that the optimal input distribution under those constraints is discrete with a finite number of mass points. We show that HPA significantly reduces the information energy capacity region. In addition, we derive a closed-form expression of the capacity-achieving distribution for the low PP regime, where there is no trade-off between information and energy transfer. For the case with time-varying PP constraints, we characterize the optimal input distribution of this channel by using Shannon’s coding scheme. Specifically, we numerically study a particular scenario for the time-varing PP constraints, where the PP constraint probabilistically is either zero or equal to a non-zero constant.

Bi-objective Optimization of Information Rate and Harvested Power in RIS-aided SWIPT Systems

Bi-objective Optimization of Information Rate and Harvested Power in RIS-aided SWIPT Systems

Co-operative SWIPT system over FTR fading channel in mobile network scenario

Co-operative SWIPT system over FTR fading channel in mobile network scenario

Energy harvesting maximization for multiuser MIMO SWIPT systems with intelligent reflecting surfaces

Energy harvesting maximization for multiuser MIMO SWIPT systems with intelligent reflecting surfaces

Secrecy outage analysis for UAV assisted satellite-terrestrial SWIPT systems with NOMA

This paper studies the physical-layer security for a non-orthogonal multiple access (NOMA) based unmanned aerial vehicle (UAV) assisted hybrid satellite-terrestrial simultaneous wireless information and power transfer system. Specifically, a satellite sends confidential information on a NOMA basis to two terrestrial users through a UAV relay under the wiretapping of an eavesdropper. A power splitting protocol is deployed to coordinate information decoding and energy harvesting. Assuming the satellite link experiences Shadowed-Rician fading and the terrestrial links are subject to Nakagami-m fading, the analytical expressions for the secrecy outage probability and the probability of strictly positive secrecy capacity for two users are derived and the accuracy of the results is verified by Monte-Carlo simulations.

Bidirectional Link Resource Allocation Strategy in GFDM-based Multiuser SWIPT Systems

Bidirectional Link Resource Allocation Strategy in GFDM-based Multiuser SWIPT Systems

Joint Transceiver Optimization of MIMO SWIPT Systems Assisted by Reconfigurable Intelligent Surface

In this work, a reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) system is studied with wireless energy harvesting (EH). Specifically, we focus on maximizing the harvested power at the receiver by joint optimization of the signal covariance, the phase shifter, and the power splitting factor, subject to the information rate and transmit power constraints. The formulated problem is hard to address due to the nonconcave objective and the nonconvex constraints. To tackle these challenges, an alternating optimization (AO) framework is proposed, where the phase shifter is solved by the penalty-based method. Simulation results validate the performance of the proposed approach.

Outage probability analysis for hybrid TSR-PSR based SWIPT systems over log-normal fading channels

Employing simultaneous information and power transfer (SWIPT) technology in cooperative relaying networks has drawn considerable attention from the research community. We can find several studies that focus on Rayleigh and Nakagami-m fading channels, which are used to model outdoor scenarios. Differing itself from several existing studies, this study is conducted in the context of indoor scenario modelled by log-normal fading channels. Specifically, we investigate a so-called hybrid time switching relaying (TSR)-power splitting relaying (PSR) protocol in an energy-constrained cooperative amplify-and-forward (AF) relaying network. We evaluate the system performance with outage probability (OP) by analytically expressing and simulating it with Monte Carlo method. The impact of power-splitting (PS), time-switching (TS) and signal-to-noise ratio (SNR) on the OP was as well investigated. Subsequently, the system performance of TSR, PSR and hybrid TSR-PSR schemes were compared. The simulation results are relatively accurate because they align well with the theory.

Joint optimization of antenna selection and beamforming in MIMO SWIPT systems with bidirectional communication

This paper investigates joint optimization of antenna selection and beamforming in multiple-input multiple-output simultaneous wireless information and power transfer systems with bidirectional communication. The downlink–uplink rate region is used as the performance metric. The formulated optimization problem is non-convex mixed integer programming, which is challenging to solve. The problem is first converted into a form of a quadratically constrained quadratic program. Given fixed receive and transmit antenna sets at the energy harvesting device, the authors apply the semidefinite relaxation to obtain a convex problem for optimal beamforming which can be solved efficiently. It is proved that the semidefinite relaxation is tight. The authors solve the relaxed problem for every possible receive and transmit antenna sets and find the optimal solution by search. Moreover, a low-complexity method to alleviate the computational complexity of the optimal solution by deriving effective heuristic algorithms for the beamforming and antenna selection is proposed. Simulation results demonstrate that both the optimal and the low-complexity algorithms outperform the benchmark power splitting, when the circuit power consumption is sufficiently high or the number of receive antennas at the energy harvesting device is sufficiently large. Also, a near-optimal performance can be achieved by the proposed low-complexity method.

On the optimal energy efficiency and spectral efficiency trade-off of CF massive MIMO SWIPT system

Energy efficiency is a key requirement for future network design, and user-centric (UC) cell-free (CF) massive multi-input multi-output (MIMO) networks can achieve over ten times the energy efficiency. Based on this, this paper studies a CF MIMO simultaneous wireless information and power transmission system and proposes a UC access point (AP) selection method and a trade-off performance optimization scheme for spectral efficiency and energy efficiency. In this system, users have both energy recovery and information transmission functions. According to the difference between the interference in the energy harvesting and information transmission process, a flexible AP selection scheme is designed. Blindly pursuing high spectral efficiency will result in waste of resources. This paper proposes an evaluation index that takes into account both energy efficiency and spectral efficiency, analyses the trade-off between energy efficiency and spectral efficiency, and jointly optimizes the AP selection scheme and the uplink (UL) and downlink (DL) time switching ratio to maximize the trade-off performance. Then, the non-convex problem is converted to a geometric planning problem to solve. The simulation results show that by implementing a suitable AP selection scheme and UL and DL time allocation, the information processing scheme on the AP side has a slight loss in spectral efficiency, but the energy efficiency is close to the performance of global processing on the central processing unit.