Energy-Efficient rate scheduling and power allocation for wireless energy harvesting nodes
English: Energy harvesting is increasingly gaining importance as a means to charge battery powered devices such as sensor nodes. Traditional rate scheduling and power allocation strategies for wireless nodes are no longer optimal when these nodes are able to harvest energy over time. Efficient trans...
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| Format: | master thesis |
| Publication Date: | 2011 |
| Country: | España |
| Institution: | Universitat Politècnica de Catalunya (UPC) |
| Repository: | UPCommons. Portal del coneixement obert de la UPC |
| Language: | English |
| OAI Identifier: | oai:upcommons.upc.edu:2099.1/12761 |
| Online Access: | https://hdl.handle.net/2099.1/12761 |
| Access Level: | Open access |
| Keyword: | Energy conservation Energy harvesting Rate scheduling Power allocation Green communications Energy-efficiency Recolecta de energía Programación de la tasa de transmisión Asignación de energía Comunicaciones verdes Eficiencia energética Telecomunicació Energia -- Estalvi Àrees temàtiques de la UPC::Energies::Eficiència energètica |
| Summary: | English: Energy harvesting is increasingly gaining importance as a means to charge battery powered devices such as sensor nodes. Traditional rate scheduling and power allocation strategies for wireless nodes are no longer optimal when these nodes are able to harvest energy over time. Efficient transmission strategies must be %developed taking into account the availability of energy and data in the node. In this thesis, we have considered that both data and energy arrivals are produced following a packetized model. We have assumed that the node has from beforehand full knowledge of the arrival times and quantities (either bits or Joules) of the packets. This thesis solves three different problems for wireless energy harvesting nodes. First, we find the best rate scheduling strategy for a wireless energy harvesting node with finite battery capacity. Second, we constrain the node to fulfill an additional quality of service constraint and, again, find the optimal rate scheduling strategy. In the third problem, we consider a \ac{MIMO} point-to-point transmission. Hence, we consider a multiple antenna energy harvesting node for which we find the precoder that maximizes the data throughput over a certain time window. Finally, we have developed algorithms that compute the optimal solution of each of the aforementioned problems. |
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