Throughput Analysis Using Three-Step Two-Way Decode And Forward Multi Relay Network For Wireless Energy Harvesting

2021 ◽  
pp. 62
Author(s):  
Dipak Kumar Lal ◽  
Chandrima Thakur ◽  
Sudipta Chattopadhyay ◽  
Srinjana Nag
Keyword(s):  
Energy Harvesting ◽  
Relay Network ◽  
Decode And Forward ◽  
Throughput Analysis ◽  
Wireless Energy Harvesting

scholarly journals Dynamic Wireless Energy Harvesting and Optimal Distribution in Multipair DF Relay Network with Nonlinear Energy Conversion Model

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Syed Tariq Shah ◽  
Daniel B. da Costa ◽  
Kae Won Choi ◽  
Min Young Chung
Keyword(s):  
Energy Harvesting ◽  
Energy Conversion ◽  
Relay Network ◽  
Power Splitting ◽  
Decode And Forward ◽  
Conversion Model ◽  
Transmission Modes ◽  
Energy Constrained ◽  
Wireless Energy Harvesting ◽  
Nonlinear Energy

Wireless energy harvesting has emerged as an efficient solution to prolong the lifetime of wireless networks composed of energy-constrained nodes. In this paper, we consider a multipoint-to-multipoint relay network, where multiple source nodes communicate with their respective destination nodes via intermediate energy-constrained decode-and-forward (DF) relay. The performance of two different transmission modes, namely, delay tolerant and delay nontolerant, is studied. Based on power-splitting relaying protocol (PSR), optimal energy harvesting and distribution schemes for both transmission modes are provided. In addition, for more realistic and practical analysis, we consider a nonlinear energy conversion model for energy harvesting at the relay node. Our numerical results provide useful insights into different system parameters of a nonlinear energy harvesting-based multipair DF relay network.

scholarly journals The System Performance of Half-Duplex Relay Network under Effect of Interference Noise

2018 ◽  
Vol 2 (1) ◽  
pp. 18
Author(s):  
Miroslav Voznak ◽  
Hoang Quang Minh Tran ◽  
N. Tan Nguyen
Keyword(s):  
Energy Harvesting ◽  
Outage Probability ◽  
System Performance ◽  
Ergodic Capacity ◽  
Relay Network ◽  
System Throughput ◽  
Power Splitting ◽  
Decode And Forward ◽  
Interference Noise ◽  
Wireless Energy Harvesting

In recent years, harvesting energy from radio frequency (RF) signals has drawn significant research interest as a promising solution to solve the energy problem. In this paper, we analyze the effect of the interference noise on the wireless energy harvesting performance of a decode-and-forward (DF) relaying network. In this analysis, the energy and information are transferred from the source to the relay nodes in the delay-limited transmission and Delay-tolerant transmission modes by two methods: i) time switching protocol and ii) power splitting protocol. Firstly, due to the constraint of the wireless energy harvesting at the relay node, the analytical mathematical expressions of the achievable throughput, outage probability and ergodic capacity of both schemes were proposed and demonstrated. After that, the effect of various system parameters on the system performance is rigorously studied with closed-form expressions for system throughput, outage probability, and ergodic capacity. Finally, the analytical results are also demonstrated by Monte-Carlo simulation. The results show that the analytical mathematical and simulated results agree with each other.  This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

scholarly journals Throughput Maximization for Multi-Hop Decode-and-Forward Relay Network With Wireless Energy Harvesting

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 24582-24595 ◽  
Author(s):  
Rongfei Fan ◽  
Saman Atapattu ◽  
Wen Chen ◽  
Yihao Zhang ◽  
Jamie Evans
Keyword(s):  
Energy Harvesting ◽  
Throughput Maximization ◽  
Relay Network ◽  
Decode And Forward ◽  
Wireless Energy Harvesting

scholarly journals Outage-Based Resource Allocation for DF Two-Way Relay Networks with Energy Harvesting

Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3946 ◽  
Author(s):  
Chunling Peng ◽  
Fangwei Li ◽  
Huaping Liu ◽  
Guozhong Wang
Keyword(s):  
Resource Allocation ◽  
Energy Harvesting ◽  
Outage Probability ◽  
Relay Network ◽  
Total Power ◽  
Power Splitting ◽  
Decode And Forward ◽  
Resource Allocation Algorithm ◽  
Joint Resource Allocation ◽  
System Outage Probability

A joint resource allocation algorithm to minimize the system outage probability is proposed for a decode-and-forward (DF) two-way relay network with simultaneous wireless information and power transfer (SWIPT) under a total power constraint. In this network, the two sources nodes exchange information with the help of a passive relay, which is assumed to help the two source nodes’ communication without consuming its own energy by exploiting an energy-harvesting protocol, the power splitting (PS) protocol. An optimization framework to jointly optimize power allocation (PA) at the source nodes and PS at the relay is developed. Since the formulated joint optimization problem is non-convex, the solution is developed in two steps. First, the conditionally optimal PS ratio at the relay node for a given PA ratio is explored; then, the closed-form of the optimal PA in the sense of minimizing the system outage probability with instantaneous channel state information (CSI) is derived. Analysis shows that the optimal design depends on the channel condition and the rate threshold. Simulation results are obtained to validate the analytical results. Comparison with three existing schemes shows that the proposed optimized scheme has the minimum system outage probability.

scholarly journals Wireless Energy Harvesting in a Cognitive Relay Network

2016 ◽  
Vol 15 (4) ◽  
pp. 2498-2508 ◽  
Author(s):  
Yuanwei Liu ◽  
S. Ali Mousavifar ◽  
Yansha Deng ◽  
Cyril Leung ◽  
Maged Elkashlan
Keyword(s):  
Energy Harvesting ◽  
Relay Network ◽  
Cognitive Relay Network ◽  
Wireless Energy Harvesting
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