scholarly journals Optimal Power Splitting for Simultaneous Information Detection and Energy Harvesting

2017 ◽  
pp. 1-1 ◽  
Author(s):  
Ali Kariminezhad ◽  
Soheyl Gherekhloo ◽  
Aydin Sezgin
Keyword(s):  
Energy Harvesting ◽  
Power Splitting ◽  
Optimal Power ◽  
Information Detection

scholarly journals Power Splitting and Source-Relay Selection in Energy Harvesting Wireless Network

2021 ◽  
Author(s):  
xiao jiang ◽  
Peng Li ◽  
ruchuan wang
Keyword(s):  
Energy Harvesting ◽  
Outage Probability ◽  
Relay Selection ◽  
Relay Network ◽  
Power Splitting ◽  
Multiple Sources ◽  
Decode And Forward ◽  
Optimal Power ◽  
Splitting Ratio ◽  
Better Than

Abstract In this paper, we consider an energy-harvesting (EH) relay network composing of multiple sources, a destination and multiple EH decode-and-forward (DF) relays. The EH relays all equip with a power splitter to divide the received signal power into two parts, one for information decoding and the remaining for signal relaying. The power splitting ratio (PSR) depicts the trade-off between the relaying energy and decoding energy. We propose an optimal power splitting and joint source-relay selection (OPS-JSRS) scheme where the optimal power-splitting ratio is obtained and the best source-relay pair is selected to transmit the message. For the purpose of comparison, we examine the optimal power splitting and round-robin (OPS-RR) scheme and the traditional power splitting and joint source-relay selection (TPS-JSRS) scheme. The exact and asymptotic closed-form expressions of outage probability for OPS-RR, TPS-JSRS and OPS-JSRS schemes are derived. Numerical results show that OPS-JSRS scheme is better than OPS-RR and TPS-JSRS schemes in terms of outage probability, explaining the superiority of the proposed OPS-JSRS scheme. Additionally, outage probability performance of OPS-JSRS scheme can be improved by increasing the number of sources and relays.

scholarly journals Revisiting Information Detection and Energy Harvesting: A Power Splitting-Based Approach

Entropy ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. 1341
Author(s):  
Jaehong Kim ◽  
Won-Yong Shin ◽  
Xin Kang ◽  
Han Lim Lee ◽  
Jingon Joung
Keyword(s):  
Energy Harvesting ◽  
Wireless Sensors ◽  
Performance Metrics ◽  
Fractional Power ◽  
Wireless Channel ◽  
Power Splitting ◽  
Machine Type Communications ◽  
Energy Trade ◽  
Optimal Dynamic ◽  
Information Detection

Wireless sensors are becoming essential in machine-type communications and Internet of Things. As the key performance metrics, the spectral efficiency as well as the energy efficiency have been considered while determining the effectiveness of sensor networks. In this paper, we present several power-splitting solutions to maximize the average harvested energy under a rate constraint when both the information and power are transmitted through the same wireless channel to a sensor (i.e., a receiver). More specifically, we first designed the optimal dynamic power-splitting policy, which decides the optimal fractional power of the received signal used for energy harvesting at the receiver. As effective solutions, we proposed two types of single-threshold-based power-splitting policies, namely, Policies I and II, which decide to switch between energy harvesting and information decoding by comparing the received signal power with some given thresholds. Additionally, we performed asymptotic analysis for a large number of packets along with practical statistics-based policies. Consequently, we demonstrated the effectiveness of the proposed power-splitting solutions in terms of the rate–energy trade-off.

scholarly journals Energy-Efficient Power Allocation in Non-Linear Energy Harvesting Multiple Relay Systems

Algorithms ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 155
Author(s):  
Huifang Pan ◽  
Qi Zhu
Keyword(s):  
Energy Harvesting ◽  
Power Allocation ◽  
Programming Problem ◽  
Power Splitting ◽  
Convex Programming Problem ◽  
Optimal Power Allocation ◽  
Allocation Algorithm ◽  
Optimal Power ◽  
Multiple Relays ◽  
Single Relay

In this paper, to maximize the energy efficiency (EE) in the two-hop multi-relay cooperative decoding and forwarding (DF) system for simultaneous wireless information and power transmission (SWIPT), an optimal power allocation algorithm is proposed, in which the relay energy harvesting (EH) adopts a nonlinear model. Under the constraints, including energy causality, the minimum transmission quality of information and the total transmission power at the relays, an optimization problem is constructed to jointly optimize the transmit power and power-splitting (PS) ratios of multiple relays. Although this problem is a nonlinear fractional programming problem, an iterative algorithm is developed to obtain the optimal power allocation. In particular, the joint power allocation at multiple relays is first decoupled into a single relay power allocation, and then single-relay power allocation is performed by the Dinkelbach iteration algorithm, which can be proven that it is a convex programming problem. Its closed form solutions for different polylines of EH models are obtained by using mathematical methods, such as monotonicity, Lagrange multipliers, the KKT condition and the Cardan formula. The simulation results show the superiority of the power allocation algorithm proposed in this paper in terms of EE.

Joint optimal power splitting and relay selection strategy under SWIPT

2021 ◽  
Author(s):  
Saleemullah Memon ◽  
Kamran Ali Memon ◽  
Junaid Ahmed Uqaili ◽  
Kamlesh Kumar Soothar ◽  
Rabnawaz Sarmad Uqaili ◽  
...  
Keyword(s):  
Relay Selection ◽  
Selection Strategy ◽  
Power Splitting ◽  
Optimal Power

scholarly journals Robust Beamforming Design for Secure V2X Downlink System with Wireless Information and Power Transfer under a Nonlinear Energy Harvesting Model

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3294 ◽  
Author(s):  
Shidang Li ◽  
Chunguo Li ◽  
Weiqiang Tan ◽  
Baofeng Ji ◽  
Luxi Yang
Keyword(s):  
Energy Harvesting ◽  
Traffic Safety ◽  
Optimization Problem ◽  
Optimal Solution ◽  
Base Station ◽  
Power Splitting ◽  
Power Transfer ◽  
Vehicular Communication ◽  
Downlink System ◽  
Nonlinear Energy

Vehicle to everything (V2X) has been deemed a promising technology due to its potential to achieve traffic safety and efficiency. This paper considers a V2X downlink system with a simultaneous wireless information and power transfer (SWIPT) system where the base station not only conveys data and energy to two types of wireless vehicular receivers, such as one hybrid power-splitting vehicular receiver, and multiple energy vehicular receivers, but also prevents information from being intercepted by the potential eavesdroppers (idle energy vehicular receivers). Both the base station and the energy vehicular receivers are equipped with multiple antennas, whereas the information vehicular receiver is equipped with a single antenna. In particular, the imperfect channel state information (CSI) and the practical nonlinear energy harvesting (EH) model are taken into account. The non-convex optimization problem is formulated to maximize the minimum harvested energy power among the energy vehicular receivers satisfying the lowest harvested energy power threshold at the information vehicular receiver and secure vehicular communication requirements. In light of the intractability of the optimization problem, the semidefinite relaxation (SDR) technique and variable substitutions are applied, and the optimal solution is proven to be tight. A number of results demonstrate that the proposed robust secure beamforming scheme has better performance than other schemes.

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