Optimal Packet Scheduling in an Energy Harvesting Communication System
We consider the optimal packet scheduling problem in a single-user energy harvesting wireless communication system. In this system, both the data packets and the harvested energy are modeled to arrive at the source node randomly. Our goal is to adaptively change the transmission rate according to th...
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| Published in | IEEE transactions on communications Vol. 60; no. 1; pp. 220 - 230 |
|---|---|
| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
New York, NY
IEEE
01.01.2012
Institute of Electrical and Electronics Engineers |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0090-6778 |
| DOI | 10.1109/TCOMM.2011.112811.100349 |
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| Abstract | We consider the optimal packet scheduling problem in a single-user energy harvesting wireless communication system. In this system, both the data packets and the harvested energy are modeled to arrive at the source node randomly. Our goal is to adaptively change the transmission rate according to the traffic load and available energy, such that the time by which all packets are delivered is minimized. Under a deterministic system setting, we assume that the energy harvesting times and harvested energy amounts are known before the transmission starts. For the data traffic arrivals, we consider two different scenarios. In the first scenario, we assume that all bits have arrived and are ready at the transmitter before the transmission starts. In the second scenario, we consider the case where packets arrive during the transmissions, with known arrival times and sizes. We develop optimal off-line scheduling policies which minimize the time by which all packets are delivered to the destination, under causality constraints on both data and energy arrivals. |
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| AbstractList | We consider the optimal packet scheduling problem in a single-user energy harvesting wireless communication system. In this system, both the data packets and the harvested energy are modeled to arrive at the source node randomly. Our goal is to adaptively change the transmission rate according to the traffic load and available energy, such that the time by which all packets are delivered is minimized. Under a deterministic system setting, we assume that the energy harvesting times and harvested energy amounts are known before the transmission starts. For the data traffic arrivals, we consider two different scenarios. In the first scenario, we assume that all bits have arrived and are ready at the transmitter before the transmission starts. In the second scenario, we consider the case where packets arrive during the transmissions, with known arrival times and sizes. We develop optimal off-line scheduling policies which minimize the time by which all packets are delivered to the destination, under causality constraints on both data and energy arrivals. |
| Author | Jing Yang Ulukus, Sennur |
| Author_xml | – sequence: 1 surname: Jing Yang fullname: Jing Yang email: yangjing@ece.wisc.edu organization: Dept. of Electr. & Comput. Eng., Univ. of Wisconsin, Madison, WI, USA – sequence: 2 givenname: Sennur surname: Ulukus fullname: Ulukus, Sennur email: ulukus@umd.edu organization: Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA |
| BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25487771$$DView record in Pascal Francis |
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| CODEN | IECMBT |
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| ContentType | Journal Article |
| Copyright | 2015 INIST-CNRS |
| Copyright_xml | – notice: 2015 INIST-CNRS |
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| DOI | 10.1109/TCOMM.2011.112811.100349 |
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| Keywords | Packet switching transmission completion time minimization Wireless telecommunication Transmitter Teletraffic Scheduling Traffic load Energy harvesting Transmission time Arrival time rechargeable wireless networks Off line Wireless network Transmission rate |
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| Snippet | We consider the optimal packet scheduling problem in a single-user energy harvesting wireless communication system. In this system, both the data packets and... |
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| SubjectTerms | Applied sciences Delay Energy consumption Energy harvesting Exact sciences and technology Minimization Radiocommunications rechargeable wireless networks Resource management Scheduling algorithm Switching and signalling Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teletraffic transmission completion time minimization Transmitters Transmitters. Receivers |
| Title | Optimal Packet Scheduling in an Energy Harvesting Communication System |
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