配备能量收集节点的能量缓冲器的全双工信令性能

Dileep Bapatla, S. Prakriya
{"title":"配备能量收集节点的能量缓冲器的全双工信令性能","authors":"Dileep Bapatla, S. Prakriya","doi":"10.1109/SPCOM50965.2020.9179627","DOIUrl":null,"url":null,"abstract":"In this paper we consider full-duplex (FD) signalling between two energy harvesting (EH) devices D1 and D2. We assume that D1 and D2 are equipped with energy buffers. We consider two buffer energy management policies: on-off policy (OOP) and best-effort policy (BEP). Expressions are derived for sum throughput and outage probability. Insights are obtained on the transmit powers to be used to maximize throughput while ensuring buffer stability. The derived analytical expressions are validated by Monte Carlo simulations.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance of Full-Duplex Signalling by Energy Buffer Equipped Energy Harvesting Nodes\",\"authors\":\"Dileep Bapatla, S. Prakriya\",\"doi\":\"10.1109/SPCOM50965.2020.9179627\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we consider full-duplex (FD) signalling between two energy harvesting (EH) devices D1 and D2. We assume that D1 and D2 are equipped with energy buffers. We consider two buffer energy management policies: on-off policy (OOP) and best-effort policy (BEP). Expressions are derived for sum throughput and outage probability. Insights are obtained on the transmit powers to be used to maximize throughput while ensuring buffer stability. The derived analytical expressions are validated by Monte Carlo simulations.\",\"PeriodicalId\":208527,\"journal\":{\"name\":\"2020 International Conference on Signal Processing and Communications (SPCOM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Signal Processing and Communications (SPCOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPCOM50965.2020.9179627\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Signal Processing and Communications (SPCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPCOM50965.2020.9179627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在本文中,我们考虑了两个能量收集(EH)设备D1和D2之间的全双工(FD)信号。我们假设D1和D2具有能量缓冲器。我们考虑了两种缓冲能量管理策略:开关策略(on-off policy, OOP)和最佳努力策略(best-effort policy, BEP)。导出了总吞吐量和中断概率的表达式。在确保缓冲区稳定性的同时,获得了传输功率的见解,以最大限度地提高吞吐量。通过蒙特卡罗仿真验证了推导出的解析表达式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Performance of Full-Duplex Signalling by Energy Buffer Equipped Energy Harvesting Nodes
In this paper we consider full-duplex (FD) signalling between two energy harvesting (EH) devices D1 and D2. We assume that D1 and D2 are equipped with energy buffers. We consider two buffer energy management policies: on-off policy (OOP) and best-effort policy (BEP). Expressions are derived for sum throughput and outage probability. Insights are obtained on the transmit powers to be used to maximize throughput while ensuring buffer stability. The derived analytical expressions are validated by Monte Carlo simulations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Wavelet based Fine-to-Coarse Retinal Blood Vessel Extraction using U-net Model Classification of Social Signals Using Deep LSTM-based Recurrent Neural Networks Classifying Cultural Music using Melodic Features Clustering tendency assessment for datasets having inter-cluster density variations Component-specific temporal decomposition: application to enhanced speech coding and co-articulation analysis
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1