{"title":"Outage Analysis in Dual Hop Relay Network with an Adaptive Energy Harvesting Scheme","authors":"Soumen Mondal, Sanjay Dharroy, S. Kundu","doi":"10.1109/CALCON49167.2020.9106489","DOIUrl":null,"url":null,"abstract":"In this paper, we propose an adaptive hybrid energy harvesting scheme to minimize outage probability of a dual hop network aided by an energy harvesting relay. We consider that the relay is powered by RF signal of source. In our proposed model, the power splitting factor (β) and time switching factor (α) of a hybrid energy harvesting scheme involving a combination of time switching and power splitting, are jointly adapted to achieve minimum outage probability. We evaluate the outage probability and ergodic capacity of the network with the proposed scheme. We also study the statistics of α and β with respect to input signal to noise ratio (SNR) $\\left( {{\\gamma _0} = \\frac{{{P_S}}}{{{N_0}}}} \\right)$. The simulation results closely follow the analytical results and the proposed scheme outperforms the existing schemes in terms of outage probability and ergodic capacity.","PeriodicalId":318478,"journal":{"name":"2020 IEEE Calcutta Conference (CALCON)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Calcutta Conference (CALCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CALCON49167.2020.9106489","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we propose an adaptive hybrid energy harvesting scheme to minimize outage probability of a dual hop network aided by an energy harvesting relay. We consider that the relay is powered by RF signal of source. In our proposed model, the power splitting factor (β) and time switching factor (α) of a hybrid energy harvesting scheme involving a combination of time switching and power splitting, are jointly adapted to achieve minimum outage probability. We evaluate the outage probability and ergodic capacity of the network with the proposed scheme. We also study the statistics of α and β with respect to input signal to noise ratio (SNR) $\left( {{\gamma _0} = \frac{{{P_S}}}{{{N_0}}}} \right)$. The simulation results closely follow the analytical results and the proposed scheme outperforms the existing schemes in terms of outage probability and ergodic capacity.