Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Proceedings of the 2018 International Workshop on Network Calculus and Applications, NetCal2018 - Co-located with the 30th International Teletraffic Congress, ITC 2018 and 1st International Conference in Networking Science and Practice |
| Herausgeber/-innen | Eitan Altman, Giuseppe Bianchi, Thomas Zinner |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 13-18 |
| Seitenumfang | 6 |
| ISBN (elektronisch) | 9780988304550 |
| Publikationsstatus | Veröffentlicht - 15 Okt. 2018 |
| Veranstaltung | 2018 International Workshop on Network Calculus and Applications, NetCal2018 - Vienna, Österreich Dauer: 3 Sept. 2018 → 7 Sept. 2018 |
Publikationsreihe
| Name | Proceedings of the 2018 International Workshop on Network Calculus and Applications, NetCal2018 - Co-located with the 30th International Teletraffic Congress, ITC 2018 and 1st International Conference in Networking Science and Practice |
|---|
Abstract
In recent years, energy harvesting has taken a considerable attention in wireless communication research. Nonetheless, the stochastic nature of renewable energy sources has become one of the research problems, and energy storage has been proposed as a solution to deal with it. Initially, researchers regarded a perfect battery model without energy losses during storage because of its simplicity and compatibility in wireless communication analysis. However, a battery model that reflects practical concerns should include energy losses. In this paper, we consider an energy harvesting wireless communication model with a battery that has energy losses during charging and discharging. We consider energy underflows (i.e., the energy level falls below a certain threshold in a battery) as the energy management concern, and characterize the energy underflow probability and provide a simple exponential formulation by employing the large deviation principle and queueing theory. Specifically, we benefit from the similarity between the battery and data buffer models. We further coin the available space decay rate at a battery as a parameter to indicate the energy consumption performance. We further outline an approach to set the energy demand policy to meet the energy management requirements that rule the energy underflow probability as a constraint. We finally substantiate our analytical findings with numerical demonstrations, and compare the transmission performance levels of a transmission system with a battery that has energy losses and a transmission system that consumes the energy as soon as it is harvested.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Statistik und Wahrscheinlichkeit
- Informatik (insg.)
- Theoretische Informatik und Mathematik
- Informatik (insg.)
- Computernetzwerke und -kommunikation
- Mathematik (insg.)
- Angewandte Mathematik
Ziele für nachhaltige Entwicklung
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Proceedings of the 2018 International Workshop on Network Calculus and Applications, NetCal2018 - Co-located with the 30th International Teletraffic Congress, ITC 2018 and 1st International Conference in Networking Science and Practice. Hrsg. / Eitan Altman; Giuseppe Bianchi; Thomas Zinner. Institute of Electrical and Electronics Engineers Inc., 2018. S. 13-18 8493028 (Proceedings of the 2018 International Workshop on Network Calculus and Applications, NetCal2018 - Co-located with the 30th International Teletraffic Congress, ITC 2018 and 1st International Conference in Networking Science and Practice).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Energy Management in Wireless Communications with Energy Storage Imperfections
AU - Akin, Sami
N1 - Publisher Copyright: © 2018 ITC Press. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2018/10/15
Y1 - 2018/10/15
N2 - In recent years, energy harvesting has taken a considerable attention in wireless communication research. Nonetheless, the stochastic nature of renewable energy sources has become one of the research problems, and energy storage has been proposed as a solution to deal with it. Initially, researchers regarded a perfect battery model without energy losses during storage because of its simplicity and compatibility in wireless communication analysis. However, a battery model that reflects practical concerns should include energy losses. In this paper, we consider an energy harvesting wireless communication model with a battery that has energy losses during charging and discharging. We consider energy underflows (i.e., the energy level falls below a certain threshold in a battery) as the energy management concern, and characterize the energy underflow probability and provide a simple exponential formulation by employing the large deviation principle and queueing theory. Specifically, we benefit from the similarity between the battery and data buffer models. We further coin the available space decay rate at a battery as a parameter to indicate the energy consumption performance. We further outline an approach to set the energy demand policy to meet the energy management requirements that rule the energy underflow probability as a constraint. We finally substantiate our analytical findings with numerical demonstrations, and compare the transmission performance levels of a transmission system with a battery that has energy losses and a transmission system that consumes the energy as soon as it is harvested.
AB - In recent years, energy harvesting has taken a considerable attention in wireless communication research. Nonetheless, the stochastic nature of renewable energy sources has become one of the research problems, and energy storage has been proposed as a solution to deal with it. Initially, researchers regarded a perfect battery model without energy losses during storage because of its simplicity and compatibility in wireless communication analysis. However, a battery model that reflects practical concerns should include energy losses. In this paper, we consider an energy harvesting wireless communication model with a battery that has energy losses during charging and discharging. We consider energy underflows (i.e., the energy level falls below a certain threshold in a battery) as the energy management concern, and characterize the energy underflow probability and provide a simple exponential formulation by employing the large deviation principle and queueing theory. Specifically, we benefit from the similarity between the battery and data buffer models. We further coin the available space decay rate at a battery as a parameter to indicate the energy consumption performance. We further outline an approach to set the energy demand policy to meet the energy management requirements that rule the energy underflow probability as a constraint. We finally substantiate our analytical findings with numerical demonstrations, and compare the transmission performance levels of a transmission system with a battery that has energy losses and a transmission system that consumes the energy as soon as it is harvested.
KW - Battery imperfections
KW - Energy harvesting
KW - Energy management
KW - Large deviation principle
UR - http://www.scopus.com/inward/record.url?scp=85057210374&partnerID=8YFLogxK
U2 - 10.1109/ITC30.2018.10055
DO - 10.1109/ITC30.2018.10055
M3 - Conference contribution
AN - SCOPUS:85057210374
T3 - Proceedings of the 2018 International Workshop on Network Calculus and Applications, NetCal2018 - Co-located with the 30th International Teletraffic Congress, ITC 2018 and 1st International Conference in Networking Science and Practice
SP - 13
EP - 18
BT - Proceedings of the 2018 International Workshop on Network Calculus and Applications, NetCal2018 - Co-located with the 30th International Teletraffic Congress, ITC 2018 and 1st International Conference in Networking Science and Practice
A2 - Altman, Eitan
A2 - Bianchi, Giuseppe
A2 - Zinner, Thomas
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Workshop on Network Calculus and Applications, NetCal2018
Y2 - 3 September 2018 through 7 September 2018
ER -