Relevant bibliographies by topics / Simultaneous wireless information and power transfer (SWIPT)

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Simultaneous wireless information and power transfer (SWIPT)'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "Simultaneous wireless information and power transfer (SWIPT)"

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Chiu, Chien-Ching, Wei Chien, Po-Hsiang Chen, Yu-Ting Cheng, Hao Jiang, and En-Lin Chen. "Optimization for an Indoor 6G Simultaneous Wireless Information and Power Transfer System." Symmetry 14, no. 6 (June 19, 2022): 1268. http://dx.doi.org/10.3390/sym14061268.

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Antenna beamforming for Simultaneous Wireless Information and Power Transfer (SWIPT) and Wireless Power Transfer (WPT) in an indoor 6G communication system is presented in this paper. The objective function is to maximize the total harvesting power for the SWIPT and WPT nodes with the constraints of the bit error rate and minimum harvesting power. In the study, the power-splitting ratio between harvesting power and decoding information can be adjusted for the SWIPT node. Due to the non-convex problem, we use Self-Adaptive Dynamic Differential Evolution (SADDE) to optimize the designed multi-objective function. We use a symmetric antenna array to study three situations of distance—closer, farther, and similar—between the transmitting antenna and the individual SWIPT and WPT nodes in this paper. Experimental results show that the overall harvesting efficiency is improved, especially in the case of SWIPT nodes closer to the transmitter. The total harvesting power can be improved by 86.7% in the total short-distance case, and by 7.87% in the total long-distance case.
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Choi, Hyun-Ho, and Jung-Ryun Lee. "Energy-Neutral Operation Based on Simultaneous Wireless Information and Power Transfer for Wireless Powered Sensor Networks." Energies 12, no. 20 (October 10, 2019): 3823. http://dx.doi.org/10.3390/en12203823.

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For energy-neutral operation (ENO) of wireless sensor networks (WSNs), we apply a wireless powered communication network (WPCN) to a WSN with a hierarchical structure. In this hierarchical wireless powered sensor network (WPSN), sensor nodes with high harvesting energies and good link budgets have energy remaining after sending their data to the cluster head (CH), whereas the CH suffers from energy scarcity. Thus, we apply the simultaneous wireless information and power transfer (SWIPT) technique to the considered WPSN so that the sensor nodes can transfer their remaining energy to the CH while transmitting data in a cooperative manner. To maximize the achievable rate of sensing data while guaranteeing ENO, we propose a novel ENO framework, which provides a frame structure for SWIPT operation, rate improvement subject to ENO, SWIPT ratio optimization, as well as clustering and CH selection algorithm. The results of extensive simulations demonstrate that the proposed ENO based on SWIPT significantly improves the achievable rate and reduces the energy dissipated in the network while guaranteeing ENO, in comparison with the conventional schemes without SWIPT.
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Wu, Fahui, Lin Xiao, Dingcheng Yang, Laurie Cuthbert, and Xiaoping Liu. "Simultaneous Wireless Information and Power Transfer Mechanism in Interference Alignment Relay Networks." Mobile Information Systems 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/7281027.

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This paper considers a simultaneous wireless information and power transfer (SWIPT) mechanism in an interference alignment (IA) relay system, in which source nodes send wireless information and energy simultaneously to relay nodes, and relay nodes forward the received signal to destination nodes powered by harvested energy. To manage interference and utilize interference as energy source, two-SWIPT receiver is designed, namely, power splitting (PS), and antennas switching (AS) has been considered for relay system. The performance of AS- and PS-based IA relay systems is considered, as is a new energy cooperation (ECop) scheme that is proposed to improve system performance. Numerical results are provided to evaluate the performance of all schemes and it is shown from the simulations that the performance of proposed ECop outperformed both AS and PS.
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Wu, Jie, Weihao Kong, Pengfei Gao, Nan Jin, Jitao Zhang, Jiagui Tao, and Václav Snášel. "Design Consideration of Bidirectional Wireless Power Transfer and Full-Duplex Communication System via a Shared Inductive Channel." Energies 14, no. 16 (August 11, 2021): 4918. http://dx.doi.org/10.3390/en14164918.

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Communication between the primary and secondary sides is pivotal to the wireless power transfer (WPT) system. The system control commands and feedback information need simultaneous wireless information and power transfer (SWIPT). In this paper, a FSK-based SWIPT system with full-duplex communication via a shared channel is provided. Considering the complexity of the coupling relationship in this kind of full-duplex SWIPT system, this paper proposes an analysis method based on the transmission channel, studies the crosstalk between the power channel and the information channel, and between the forward and reverse transfer of information. A design method of full-duplex communication SWIPT system based on shared coupling channels is provided. A 60 W SWIPT prototype with a full-duplex communication rate of 20 kbps is built to verify the proposed method.
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Okandeji, Alexander Akpofure. "Multicast Beamforming for SWIPT in MISO Full-Duplex Systems." Nigerian Journal of Technological Research 16, no. 1 (March 9, 2021): 26–33. http://dx.doi.org/10.4314/njtr.v16i1.4.

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This paper considers the multicast transmit beamforming and receive power splitting problem for sum transmit power minimization for a simultaneous wireless information and power transfer (SWIPT) system subject to signal-to-interference-plus-noise ratio (SINR), and energy harvesting constraints at the receiver. In particular, we consider the case of perfect and imperfect channel state information (CSI) at the base station. Using semidefinite relaxation (SDR) technique, we obtain solution to the problem with imperfect channel state information of the self-interfering channels. Keywords: Simultaneous wireless information and power transfer, channel state information, Energy harvesting, semidefinite relaxation.
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Gong, Pu, Thomas M. Chen, Peng Xu, and Qianbin Chen. "DS-SWIPT: Secure Communication with Wireless Power Transfer for Internet of Things." Security and Communication Networks 2022 (June 8, 2022): 1–11. http://dx.doi.org/10.1155/2022/2650474.

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Internet of Things (IoT) is promptly spreading and reaching a series of domains, including many industrial applications designed for monitoring purposes. In such networks, sensitive information is being collected and transmitted by IoT devices with limited resources, which leads energy efficiency and cybersecurity to become critical. Therefore, this paper proposes a novel approach for wireless communications and power for IoT monitoring applications with the aim of achieving energy efficiency and security. The proposed solution combines the advantages of Simultaneous Wireless Information and Power Transfer (SWIPT) for wireless power transfer to remote IoT devices and Direct Sequence Spread Spectrum (DSSS) for data confidentiality. The proposed DS-SWIPT is a security improvement over the original SWIPT. Simulation results show that the proposed DS-SWIPT can achieve energy efficiency along with acceptable data confidentiality.
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Chen, Linlin, Xiaofang Wu, Xin Wang, Wen Qi, Xuemin Hong, Jianghong Shi, Jie Hu, and Kun Yang. "Performance Tradeoff Analysis of Hybrid Signaling SWIPT Systems with Nonlinear Power Amplifiers." Electronics 10, no. 11 (June 7, 2021): 1364. http://dx.doi.org/10.3390/electronics10111364.

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Simultaneous wireless information and power transfer (SWIPT) is a promising technology to achieve wide-area energy transfer by sharing the same radio frequency (RF) signal and infrastructure of legacy wireless communication systems. To enlarge the effective range of energy transfer in practice, it is desirable to have a hybrid signaling SWIPT scheme, which combines a high-power multitone energy signal with a low-power broadband information signal. This paper presents a systematic study on the performance of hybrid signaling SWIPT systems with memoryless nonlinear transmitter power amplifiers (PAs). Using PA efficiency and signal-to-noise-and-distortion ratio (SNDR) as the metrics to measure the efficiency of energy transfer and information transmission, respectively, we derive the tradeoff between these two metrics for two PA classes, two nonlinear PA models, and two SNDR definitions. Our results reveal insights into the fundamental performance tradeoff inherent in SWIPT systems using hybrid signaling schemes.
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Masood, Zaki, Sokhee Jung, and Yonghoon Choi. "Energy-Efficiency Performance Analysis and Maximization Using Wireless Energy Harvesting in Wireless Sensor Networks." Energies 11, no. 11 (October 26, 2018): 2917. http://dx.doi.org/10.3390/en11112917.

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Paradigm shift to wireless power transfer provides opportunities for ultra-low-power devices to increase energy storage from electromagnetic (EM) sources. The notable gain occurs when EM sources deliver information as a meaningful signal with power transfer. Thus, energy harvesting (EH) is an active approach to obtain power from surrounding EM sources that transfer energy deliberately. This paper discusses energy efficiency (EE) trade-offs and EE maximization in simultaneous wireless power and information transfer (SWIPT) for wireless sensor networks (WSNs). The power splitting (PS) and time switching (TS) model for SWIPT are investigated in detail, where EE optimization is essential. This work formulates EE maximization problem as non-linear fractional programming and proposes a novel algorithm to solve the maximization problem using Lagrange dual decomposition. Numerical results reveal that the proposed algorithm maximizes EE in both PS and TS modes through noteworthy improvements.
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Rajaram, Akashkumar, Rabia Khan, Selvakumar Tharranetharan, Dushantha Jayakody, Rui Dinis, and Stefan Panic. "Novel SWIPT Schemes for 5G Wireless Networks." Sensors 19, no. 5 (March 7, 2019): 1169. http://dx.doi.org/10.3390/s19051169.

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In this paper, we present a few novel simultaneous wireless information and power transfer (SWIPT) schemes that can be effectively used in various 5G wireless network implementations. First, we study the possibility of integrating distributed energy beamforming with the data rate fairness beamforming in a cooperative communication system with multiple cooperative relays and multiple destination users communicating simultaneously. We show that the system exploits significant performance gain using such a joint energy and data rate fairness beamforming scheme. Further, we propose an enhanced version of the SWIPT scheme, the energy-efficient modulation-based non-orthogonal multiple access (M-NOMA) SWIPT scheme, and observe its system efficiency in terms of more harvested energy. Finally, we consider an energy-harvesting SWIPT scheme where the channel response is estimated using the energy-harvesting signal as pilots superimposed on the information signal. For such a scheme, we compute the optimum transmit power ratio between the pilot and information signals under varying SNR conditions and improve the accuracy of the decoding process at the reception.
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Shirichian, Mehdi, Somayyeh Chamaani, Alireza Akbarpour, and Giovanni Del Galdo. "Analysis and Design of Broadband Simultaneous Wireless Information and Power Transfer (SWIPT) System Considering Rectifier Effect." Energies 11, no. 9 (September 11, 2018): 2387. http://dx.doi.org/10.3390/en11092387.

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The deployment of internet of things (IOT) devices in several applications is limited by their need of having batteries as a power source. This has led many researchers to make efforts on simultaneous wireless information and power transfer (SWIPT) systems design. Increasing the bandwidth provides higher capacity; however, due to the narrowband response of conventional power transfer subsystems, power delivery is decreased. In order to design an optimum wideband SWIPT system, first, a realistic model of the system, including antennas and rectifier, should be developed. Then, proper methods to increase the bandwidth of subsystems for optimum power delivery can be proposed. In this paper, a wideband SWIPT system (300 MHz bandwidth at the center frequency of 1.44 GHz) while considering realistic limitations of antennas and rectifiers is designed. To optimize the system performance, a novel power allocation method is proposed. Using this algorithm, Pareto fronts of Shannon channel capacity versus power delivery in three scenarios (broadband antennas without considering rectifier, broadband antennas with narrowband rectifier and broadband antennas with broadband rectifier) are compared. The results show that, without considering the realistic behaviour of the subsystems, the performance is largely overestimated. Furthermore, this model allows for designers to optimize each subsystem directly and assess its effect on the overall SWIPT system performance.
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Dissertations / Theses on the topic "Simultaneous wireless information and power transfer (SWIPT)"

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Okandeji, A. "Simultaneous wireless information and power transfer in full-duplex communication systems." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1566748/.

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As wireless devices are mostly constrained by their inability to operate independently infinitely away from centralised power sources, radio frequency (RF) energy harvesting (EH) has been identified as a promising technique for future wireless devices. For this reason, this thesis introduces a novelty in RF EH full-duplex (FD) wireless communication systems. Specifically, this thesis investigate the potentials of simultaneous wireless information and power transfer (SWIPT) in FD communication systems. This thesis firstly focuses on optimal transmit strategies, rate maximization and power minimizing approach for SWIPT in FD systems. Using the rate-split method, difference of convex programming, semi-definite programming technique and one-dimensional search, we reformulate complex optimization problems to yield problem formulations that can be efficiently solved, thus we develop rate maximization algorithm for SWIPT in a point-to-point FD system, SWIPT in FD multiple-input multiple-output (MIMO) two-way relay system and power minimization approach for SWIPT in a multiuser MIMO FD system. This thesis also presents research work carried out with the aim of maximising the secrecy sum-rate for SWIPT in FD systems. In this context, we employ the use of an amplify and forward (AF) relay to inject artificial noise (AN) in order to confuse the eavesdropper. Thus, we address the optimal joint design of the beamforming matrix and AN covariance matrix at the relay, and the transmit power at the sources. Comprehensively, we present extensive theoretical and computer simulations to corroborate the need for joint optimization.
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Yuan, Yi. "Resource allocation and secure communication design in simultaneous wireless information and power transfer systems." Thesis, Lancaster University, 2018. http://eprints.lancs.ac.uk/123627/.

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Radio frequency (RF) energy transfer techniques have been regarded as the key enabling solutions to supply continuous and stable energy for the energy-constrained wireless devices. Simultaneous wireless information and power transfer (SWIPT) has been developed as a more promising RF energy transfer technique since it enables wireless information and wireless energy to access users from a same transmitted signal. Therefore, SWIPT has received remarkable attention. This thesis provides an investigation on applications and security issues of this emerging technology in various wireless communication scenarios. First, this thesis examines the application of SWIPT to a multi-user cooperative network in which the amplify-and-forward (AF) relay protocol is employed at the multi-antenna relay. A power splitting (PS) receiver architecture is utilized at each destination node to implement energy harvesting (EH) and information decoding (ID) simultaneously. The aim of this chapter is to minimize the relay transmit power by jointly designing relay beamforming vectors and PS ratios based on channel uncertainty models. The non-convex problem is converted into a semidefinite programming (SDP) problem by using the semidefinite relaxation (SDR) approach. In addition, a rank-one proof presents that the solution generated by the relaxed problem is optimal to the original problem. Second, a security issue about the SWIPT system is investigated in a cooperative network in the presence of potential eavesdroppers. The AF relay protocol and a PS receiver architecture are adopted at the multi-antenna relay and the desired destination node, respectively. Based on the system setup and the assumption of perfect channel state information (CSI), a transmit power minimization problem combined with the secrecy rate and harvested energy constraints is proposed to jointly optimize the beamforming vector and the PS ratio. The proposed optimization problem is non-convex and hard to tackle due to the issues of the quadratic terms and the coupled variables. To deal with this non-convex problem, two algorithms are proposed. In the first algorithm case, the proposed problem can be globally solved by using a two-level optimization approach which involves the SDR method and the one-dimensional (1-D) line search method. In addition, a rank reduction theorem is introduced to guarantee the tightness of the relaxation of the proposed scheme. In the second algorithm case, the proposed problem can be locally solved by exploiting a low complexity iterative algorithm which is embedded in the sequential parametric convex approximation (SPCA) method. Furthermore, the proposed optimization problem is extended to the imperfect CSI case. Third, a secure communication case is studied in an underlay multiple-input multiple-output (MIMO) cognitive radio (CR) network where the secondary transmitter (ST) provides SWIPT to receivers. In this chapter, two uncertainty channel models are proposed. One is based on the assumption that the ST has the perfect channel knowledge of the secondary information receiver (SIR) and the imperfect channel knowledge of secondary energy receivers (SERs) and primary receivers (PUs). The other one assumes that the ST only has the imperfect channel knowledge of all receivers. In each uncertainty channel model, an outage-constrained secrecy rate maximization (OC-SRM) problem combined with probability constraints is proposed to jointly optimizing the transmit covariance matrix and the artificial noise (AN)- aided covariance matrix. The designed OC-SRM problem for both models is non-convex due to the unsolvable probabilistic constraints. To solve this non-convex problem, the log determinant functions are first approximated to the easy handle the functions that the channel error terms are included in the trace function. Then, the probability constraints are converted into the deterministic constraints by exploiting the Bernstein-type inequality (BTI) approach. Finally, the reformulated problem for both models is solvable by using the existing convex tools. Last, a novel security issue is investigated in a MIMO-SWIPT downlink network where nonlinear energy receivers (ERs) are considered as the potential eavesdroppers. In this chapter, two uncertainty channel models, namely partial channel uncertainty (PCU) and full channel uncertainty (FCU), are proposed. An OC-SRM problem of each model is proposed to design the transmit signal covariance matrix while satisfying probabilistic constraints of the secrecy rate and the harvested energy. To surmount the non-convexity of the proposed OC-SRM problem in each model, several transformations and approximations are utilized. In the PCU model, the OC-SRM problem is first converted into two subproblems by introducing auxiliary variables. Then, three conservative approaches are adopted to obtain the safe approximation expressions of the probabilistic constraints, which are deterministic constraints. Moreover, an alternating optimization (AO) algorithm is proposed to iteratively solve two convex conic subproblems. In the FCU model, log determinant functions are first approximated to the trace functions. Then, the three approaches aforementioned are employed to convert probabilistic constraints into deterministic ones. The bisection method is utilized to solve the reformulated problem. Finally, the computational complexity of the proposed three approaches based on the PCU and FCU model is analyzed.
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Yamada, Randy Matthew. "New Method for Directional Modulation Using Beamforming: Applications to Simultaneous Wireless Information and Power Transfer and Increased Secrecy Capacity." Diss., Virginia Tech, 2017. http://hdl.handle.net/10919/88956.

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The proliferation of connected embedded devices has driven wireless communications into commercial, military, industrial, and personal systems. It is unreasonable to expect privacy and security to be inherent in these networks given the spatial density of these devices, limited spectral resources, and the broadcast nature of wireless communications systems. Communications for these systems must have sufficient information capacity and secrecy capacity while typically maintaining small size, light weight, and minimized power consumption. With increasing crowding of the electromagnetic spectrum, interference must be leveraged as an available resource. This work develops a new beamforming method for direction-dependent modulation that provides wireless communications devices with enhanced physical layer security and the ability to simultaneously communicate and harvest energy by exploiting co-channel interference. We propose a method that optimizes a set of time-varying array steering vectors to enable direction-dependent modulation, thus exploiting a new degree of freedom in the space-time-frequency paradigm. We formulate steering vector selection as a convex optimization problem for rapid computation given arbitrarily positioned array antenna elements. We show that this method allows us to spectrally separate co-channel interference from an information-bearing signal in the analog domain, enabling the energy from the interference to be diverted for harvesting during the digitization and decoding of the information-bearing signal. We also show that this method provides wireless communications devices with not only enhanced information capacity, but also enhanced secrecy capacity in a broadcast channel. By using the proposed method, we can increase the overall channel capacity in a broadcast system beyond the current state-of-the-art for wireless broadcast channels, which is based on static coding techniques. Further, we also increase the overall secrecy capacity of the system by enabling secrecy for each user in the system. In practical terms, this results in higher-rate, confidential messages delivered to multiple devices in a broadcast channel for a given power constraint. Finally, we corroborate these claims with simulation and experimental results for the proposed method.
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Elsabae, Ramadan G. M. "Optimization techniques for reliable data communication in multi-antenna wireless systems." Thesis, Loughborough University, 2018. https://dspace.lboro.ac.uk/2134/34613.

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This thesis looks at new methods of achieving reliable data communication in wireless communication systems using different antenna transmission optimization methods. In particular, the problems of exploitation of MIMO communication channel diversity, secure downlink beamforming techniques, adaptive beamforming techniques, resource allocation methods, simultaneous power and information transfer and energy harvesting within the context of multi-antenna wireless systems are addressed.
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Tu, Lam Thanh. "New Analytical Methods for the Analysis and Optimization of Energy-Efficient Cellular Networks by Using Stochastic Geometry." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLS157/document.

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L'analyse et l'optimisation au niveau de système sont indispensables pour la progression de performance des réseaux de communication. Ils sont nécessaires afin de faire fonctionner de façon optimale des réseaux actuels et de planifier des réseaux futurs. La modélisation et l'analyse au niveau de système des réseaux cellulaires ont été facilitées grâce à la maîtrise de l'outil mathématique de la géométrie stochastique et, plus précisément, la théorie des processus ponctuels spatiaux. Du point de vue de système, il a été empiriquement validé que les emplacements des stations cellulaires de base peuvent être considérés comme des points d'un processus ponctuel de Poisson homogène dont l'intensité coïncide avec le nombre moyen de stations par unité de surface. Dans ce contexte, des contributions de ce travail se trouvent dans le développement de nouvelles méthodologies analytiques pour l'analyse et l'optimisation des déploiements de réseaux cellulaires émergents.La première contribution consiste à introduire une approche pour évaluer la faisabilité de réseaux cellulaires multi-antennes, dans lesquels les dispositifs mobiles à faible énergie décodent les données et récupèrent l'énergie à partir d’un même signal reçu. Des outils de géométrie stochastique sont utilisés pour quantifier le taux d'information par rapport au compromis de puissance captée. Les conclusions montrent que les réseaux d'antennes à grande échelle et les déploiements ultra-denses de stations base sont tous les deux nécessaires pour capter une quantité d'énergie suffisamment élevée et fiable. En outre, la faisabilité de la diversité des récepteurs pour l'application aux réseaux cellulaires descendants est également étudiée. Diverses options basées sur la combinaison de sélection et la combinaison de taux maximal sont donc comparées. Notre analyse montre qu'aucun système n’est plus performant que les autres pour chaque configuration de système : les dispositifs à basse énergie doivent fonctionner de manière adaptative, en choisissant le schéma de diversité des récepteurs en fonction des exigences imposées.La deuxième contribution consiste à introduire une nouvelle approche pour la modélisation et l'optimisation de l'efficacité énergétique des réseaux cellulaires.Contrairement aux approches analytiques actuellement disponibles qui fournissent des expressions analytiques trop simples ou trop complexes de la probabilité de couverture et de l'efficacité spectrale des réseaux cellulaires, l'approche proposée est formulée par une solution de forme fermée qui se révèle en même temps simple et significative. Une nouvelle expression de l'efficacité énergétique du réseau cellulaire descendant est proposée à partir d’une nouvelle formule de l'efficacité spectrale. Cette expression est utilisée pour l’optimisation de la puissance d'émission et la densité des stations cellulaires de base. Il est prouvé mathématiquement que l'efficacité énergétique est une fonction uni-modale et strictement pseudo-concave de la puissance d'émission en fixant la densité des stations de base, et de la densité des stations de base en fixant la puissance d'émission. La puissance d'émission optimale et la densité des stations de base s'avèrent donc être la solution des équations non linéaires simples.La troisième contribution consiste à introduire une nouvelle approche pour analyser les performances des réseaux cellulaires hétérogènes équipés des sources d'énergie renouvelables, telles que les panneaux solaires. L'approche proposée permet de tenir compte de la distribution spatiale des stations de base en utilisant la théorie des processus ponctuels, ainsi que l'apparition aléatoire et la disponibilité de l'énergie en utilisant la théorie des chaînes de Markov. En utilisant l'approche proposée, l'efficacité énergétique des réseaux cellulaires peut être quantifiée et l'interaction entre la densité des stations de base et le taux d'énergie d'apparition peut être quantifiée et optimisée
In communication networks, system-level analysis and optimization are useful when one is interested in optimizing the system performance across the entire network. System-level analysis and optimization, therefore, are relevant for optimally operating current networks, and for deploying and planning future networks. In the last few years, the system-level modeling and analysis of cellular networks have been facilitated by capitalizing on the mathematical tool of stochastic geometry and, more precisely, on the theory of spatial point processes. It has been empirically validated that, from the system-level standpoint, the locations of cellular base stations can be abstracted as points of a homogeneous Poisson point process whose intensity coincides with the average number of based stations per unit area.In this context, the contribution of the present Ph.D. thesis lies in developing new analytical methodologies for analyzing and optimizing emerging cellular network deployments. The present Ph.D. thesis, in particular, provides three main contributions to the analysis and optimization of energy-efficient cellular networks.The first contribution consists of introducing a tractable approach for assessing the feasibility of multiple-antenna cellular networks, where low-energy mobile devices decode data and harvest power from the same received signal. Tools from stochastic geometry are used to quantify the information rate vs. harvested power tradeoff. Our study unveils that large-scale antenna arrays and ultra-dense deployments of base stations are both necessary to harvest, with high reliability, a sufficiently high amount of power. Furthermore, the feasibility of receiver diversity for application to downlink cellular networks is investigated. Several options that are based on selection combining and maximum ratio combining are compared against each other. Our analysis shows that no scheme outperforms the others for every system setup. It suggests, on the other hand, that the low-energy devices need to operate in an adaptive fashion, by choosing the receiver diversity scheme as a function of the imposed requirements.The second contribution consists of introducing a new tractable approach for modeling and optimizing the energy efficiency of cellular networks. Unlike currently available analytical approaches that provide either simple but meaningless or meaningful but complex analytical expressions of the coverage probability and spectral efficiency of cellular networks, the proposed approach is conveniently formulated in a closed-form expression that is proved to be simple and meaningful at the same time. By relying on the new proposed formulation of the spectral efficiency, a new tractable closed-form expression of the energy efficiency of downlink cellular network is proposed, which is used for optimizing the transmit power and the density of cellular base stations. It is mathematically proved, in particular, that the energy efficiency is a unimodal and strictly pseudo-concave function in the transmit power, given the density of the base stations, and in the density of the base stations, given the transmit power. The optimal transmit power and density of base stations are proved to be the solution of simple non-linear equations.The third contribution consists of introducing a new tractable approach for analyzing the performance of multi-tier cellular networks equipped with renewable energy sources, such as solar panels. The proposed approach allows one to account for the spatial distribution of the base stations by using the theory of point processes, as well as for the random arrival and availability of energy by using Markov chain theory. By using the proposed approach, the energy efficiency of cellular networks can be quantified and the interplay between the density of base stations and energy arrival rate can be quantified and optimized
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De, Oliveira Filho José Ilton. "Simultaneous Lightwave Information and Power Transfer (SLIPT)." Thesis, 2019. http://hdl.handle.net/10754/656097.

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Harvesting energy became one of the most prominent research topics around the world, not only for research institutes and universities but also for technology companies as well. Mainly focused on internet of things (IoT) applications, harvesting energy is a crucial factor for reducing costs that come with the use of batteries and increasing the devices’ working time. Simultaneous lightwave information and power transfer is a technique that seeks to use wireless optical communication to achieve both fundamental objectives in modern communication systems. This work presents the main techniques that are used to achieve SLIPT, a novel circuit that improves the standard methods and applications employing this circuit.
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Zhou, Jun. "Optimal energy management strategies in wireless data and energy cooperative communications." Thesis, 2018. https://dspace.library.uvic.ca//handle/1828/9382.

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This thesis first presents a new cooperative wireless communication network strategy that incorporates energy cooperation and data cooperation. The model establishment, design goal formulations, and algorithms for throughput maximization of the proposed protocol are presented and illustrated using a three-node network with two energy harvesting (EH) user nodes and a destination node. Transmission models are established from the performance analysis for a total of four scenarios. Based on the models, we seek to find optimal energy management strategies by jointly optimizing time allocation for each user, power allocations over these time intervals, and data throughputs at user nodes so as to maximize the sum-throughput or, alternatively, the minimum throughput of the two users in all scenarios. An accelerated Newton barrier algorithm and an alternative algorithm based on local quadratic approximation of the transmission models are developed to solve the aforementioned optimization problems. Then the thesis extends the cooperative strategy to multi-source wireless communication network, where N source users communicate with the destination via one relay that harvests energy from the RF signals transmitted by the sources through time-division multiple access (TDMA). We characterize the Energy-Throughput (E-T) tradeoff regions between the maximum achievable average throughput of the sources and the total amount of saved energy in three circumstances. For the case N=1, all harvested energy will be used to forward the message. For the case N>1, we compare two transmission strategies: one is common PS ratio strategy that the relay adopts the same PS ratio for all sources; the other is individual PS ratio strategy that each source uses an individual PS ratio. Numerical experiments under practical settings provide supportive evidences to our performance analysis.
Graduate
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Benkhelifa, Fatma. "Towards Perpetual Energy Operation in Wireless Communication Systems." Diss., 2017. http://hdl.handle.net/10754/626219.

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Wireless is everywhere. Smartphones, tablets, laptops, implantable medical devices, and many other wireless devices are massively taking part of our everyday activities. On average, an actively digital consumer has three devices. However, most of these wireless devices are small equipped with batteries that are often limited and need to be replaced or recharged. This fact limits the operating lifetime of wireless devices and presents a major challenge in wireless communication. To improve the perpetual energy operation of wireless communication systems, energy harvesting (EH) from the radio frequency (RF) signals is one promising solution to make the wireless communication systems self-sustaining. Since RF signals are known to transmit information, it is interesting to study when RF signals are simultaneously used to transmit information and scavenge energy, namely simultaneous wireless information and power transfer (SWIPT). In this thesis, we specifically aim to study the SWIPT in multiple-input multiple-output (MIMO) relay communication systems and in cognitive radio (CR) networks. First, we study the SWIPT in MIMO relay systems where the relay harvests the energy from the source and uses partially/fully the harvested energy to forward the signal to the destination. For both the amplify-and-forward (AF) and decode-and-forward (DF) relaying protocols, we consider the ideal scheme where both the energy and information transfer to the relay happen simultaneously, and the practical power splitting and time switching schemes. For each scheme, we aim to maximize the achievable end-to-end rate with a certain energy constraint at the relay. Furthermore, we consider the sum rate maximization problem for the multiuser MIMO DF relay broadcasting channels with multiple EH-enabled relays, and an enhanced low complex solution is proposed based on the block diagonalization method. Finally, we study the energy and data performance of the SWIPT in CR network where either the primary receiver (PR) or the secondary receiver (SR) is using the antenna switching (AS) technique. When the PR is an EH-enabled node, we illustrate the incentive of spectrum sharing in CR networks. When the SR is an EH-enabled node, we propose two thresholding-based selection schemes: the prioritizing data selection scheme and the prioritizing energy selection scheme.
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Zheng, Yu-Fen, and 鄭玉芬. "Cooperative Simultaneous Wireless Information and Power Transfer with Relay Censoring." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/98840504019012549570.

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碩士
國立交通大學
電子工程學系 電子研究所
104
In this thesis, we consider a joint relay censoring and energy harvesting cooperative communication system, where the destination can simultaneously harvest energy and decode information from the received signal sent by the relay. We consider power splitting scheme at the destination to achieve SWIPT. On the energy harvesting side, we aim at increasing the harvested energy as much as possible, so the SNR threshold at the relay censoring may be low to keep the relay active most of the time, so that the power level to energy harvesting can be high. But, low SNR threshold may deteriorate the e2e bit error rate (BER) of the system on the information decoding side. And if the proportion of the received power split to energy harvesting is almost equal to 1, there is almost no power used for information decoding, which leads to bad e2e BER performance as well. In our work, we study three methods to formulate the joint problem to balance the performances between the system’s error probability and harvested energy and propose algorithms to derive the optimal solutions of the SNR threshold at the relay censoring and the power splitting ratio at the destination.
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Tien, Yun-Hao, and 田昀浩. "Design and Simulation of MIMO Simultaneous Wireless Information and Power Transfer Systems." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/39008181229954573040.

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碩士
國立中央大學
通訊工程學系
104
Energy harvesting (EH) can be used to charge the battery and thus prolong the survival time of the device. RF signals can be used to transfer energy, therefore it can be a new source for energy harvesting. Wireless energy harvesting (WEH) is becoming an important aspect of EH. Since RF signals can be used as a vehicle for both transmitting information and transferring energy in wireless networks, simultaneous wireless information and power transfer (SWIPT) has attracted much attention. We consider that receiver has power splitter to splitting the received power into two parts. Then the receiver can simultaneous decoding information and harvesting energy. We first consider one-user case in multiple-input multiple-output (MIMO) system, then extend to Multi-user case. Finally, consider multi-user power splitting combined with the interference alignment technology.
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Book chapters on the topic "Simultaneous wireless information and power transfer (SWIPT)"

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Alevizos, Panos N., and Aggelos Bletsas. "Industrial SWIPT." In Wireless Information and Power Transfer, 61–79. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119476863.ch4.

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Timotheou, Stelios, Gan Zheng, Christos Masouros, and Ioannis Krikidis. "Harnessing Interference in SWIPT Systems." In Wireless Information and Power Transfer, 181–96. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119476863.ch10.

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Xu, Jie, and Rui Zhang. "Multi-antenna Energy Beamforming for SWIPT." In Wireless Information and Power Transfer, 81–97. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119476863.ch5.

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Clerckx, Bruno, and Morteza Varasteh. "Fundamentals of Signal Design for WPT and SWIPT." In Wireless Information and Power Transfer, 17–37. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119476863.ch2.

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Liu, Yuanwei, and Maged Elkashlan. "On the Application of SWIPT in NOMA Networks." In Wireless Information and Power Transfer, 99–120. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119476863.ch6.

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Su, Yuqing, Derrick Wing Kwan Ng, and Robert Schober. "Physical Layer Security in SWIPT Systems with Nonlinear Energy Harvesting Circuits." In Wireless Information and Power Transfer, 197–216. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119476863.ch11.

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Janatian, Nafiseh, Ivan Stupia, and Luc Vandendorpe. "Multi-Objective Resource Allocation Optimization for SWIPT in Small-Cell Networks." In Wireless Information and Power Transfer: A New Paradigm for Green Communications, 65–86. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56669-6_3.

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He, Shiming, Kun Xie, Weiwei Chen, Dafang Zhang, and Jigang Wen. "Simultaneous Wireless Information and Power Transfer for Multi-hop Energy-Constrained Wireless Network." In Wireless Algorithms, Systems, and Applications, 1–12. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60033-8_1.

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Gautam, Sumit, Thang X. Vu, Symeon Chatzinotas, and Björn Ottersten. "Simultaneous Wireless Information and Power Transfer in UDNs with Caching Architecture." In Ultra-dense Networks for 5G and Beyond, 247–66. Chichester, UK: John Wiley & Sons, Ltd, 2019. http://dx.doi.org/10.1002/9781119473756.ch11.

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Zhou, Jun, Jian-Xin Dai, Jing-Wei Liang, Jie Qi, and Shuai Liu. "Single-User MIMO Systems for Simultaneous Wireless Information and Power Transfer." In Electronics, Communications and Networks V, 351–58. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0740-8_40.

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Conference papers on the topic "Simultaneous wireless information and power transfer (SWIPT)"

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Jameel, Furqan, Faisal, M. Asif Ali Haider, and Amir Aziz Butt. "A technical review of simultaneous wireless information and power transfer (SWIPT)." In 2017 International Symposium on Recent Advances in Electrical Engineering (RAEE). IEEE, 2017. http://dx.doi.org/10.1109/raee.2017.8246039.

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Amri, Muhammad Miftahul, Nguyen Minh Tran, Je Hyeon Park, Dong In Kim, and Kae Won Choi. "Demo: Demonstration of Reconfigurable Intelligent Surface (RIS)-assisted Simultaneous Wireless Information and Power Transfer (SWIPT)." In 2022 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2022. http://dx.doi.org/10.1109/iccworkshops53468.2022.9915029.

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Kumar, Dileep, Onel L. Alcaraz Lopez, Satya Joshi, and Antti Tolli. "Latency Constrained Simultaneous Wireless Information and Power Transfer." In 2021 17th International Symposium on Wireless Communication Systems (ISWCS). IEEE, 2021. http://dx.doi.org/10.1109/iswcs49558.2021.9562178.

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Guo, Shuaishuai, Haixia Zhang, Ying Wang, and Dongfeng Yuan. "Spatial Modulated Simultaneous Wireless Information and Power Transfer." In GLOBECOM 2016 - 2016 IEEE Global Communications Conference. IEEE, 2016. http://dx.doi.org/10.1109/glocom.2016.7842282.

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Costanzo, A., D. Masotti, M. Fantuzzi, F. Berra, and M. Del Prete. "Solutions for simultaneous wireless information and power transfer." In 2017 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2017. http://dx.doi.org/10.1109/iceaa.2017.8065677.

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Yabuta, Teruki, Satoshi Yoshida, and Kenjiro Nishikawa. "Dual-band Wireless Power Transfer System for Simultaneous Wireless Information and Power Transfer System." In 2022 Wireless Power Week (WPW). IEEE, 2022. http://dx.doi.org/10.1109/wpw54272.2022.9901355.

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Zhang, Hao, Yi Li, Si-Ping Gao, and Yong-Xin Guo. "High-Efficiency Simultaneous Wireless Information and Power Transmission (SWIPT) By Exploiting 2nd/3rd Harmonics." In 2021 IEEE MTT-S International Wireless Symposium (IWS). IEEE, 2021. http://dx.doi.org/10.1109/iws52775.2021.9499539.

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Liu, Xin, Xijun Yang, Dianguang Ma, Nan Jin, Xiaoyang Lai, and Houjun Tang. "A Novel Simultaneous Wireless Information and Power Transfer System." In 2019 IEEE Wireless Power Transfer Conference (WPTC). IEEE, 2019. http://dx.doi.org/10.1109/wptc45513.2019.9055559.

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Liu, Yanqing, and Yaohui Bai. "Distributed Energy Transfer in Simultaneous Wireless Information and Power Transfer System." In 2018 2nd IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2018. http://dx.doi.org/10.1109/imcec.2018.8469709.

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Rui Zhang and Chin Keong Ho. "MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer." In 2011 IEEE Global Communications Conference (GLOBECOM 2011). IEEE, 2011. http://dx.doi.org/10.1109/glocom.2011.6133872.

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