Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Optimization of energy harvesting wireless communication systems
Download
index.pdf
Date
2011
Author
Erkal, Hakan
Metadata
Show full item record
Item Usage Stats
165
views
94
downloads
Cite This
In an energy harvesting communication system, energy is derived from outside sources and becomes partially available at different points in time. The constraints induced by this property on energy consumption plays an active role in the design of efficient communication systems. This thesis focuses on the optimal design of transmission and networking schemes for energy harvesting wireless communication systems. In particular, an energy harvesting transmitter broadcasting data to two receivers in an AWGN broadcast channel assuming that energy harvests and data arrivals occur at known instants is considered. In this system, optimal packet scheduling that achieves minimum delay is analyzed. An iterative algorithm, DuOpt, that achieves the same structural properties as the optimal schedule is proposed. DuOpt is proved to obtain the optimal solution when weaker user data is ready at the beginning. A dual problem is defined and shown to be strictly convex. Taking advantage of the dual problem, uniqueness of the solution of the main problem is proved. Finally, it is observed that DuOpt is almost two orders of magnitude faster than the SUMT (sequential unconstrained minimization technique) algorithm that solves the same problem.
Subject Keywords
Wireless communication systems.
,
Electrical and Electronics Engineering.
URI
http://etd.lib.metu.edu.tr/upload/12613937/index.pdf
https://hdl.handle.net/11511/20835
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Optimal and implementable transmission schemes for energy harvesting networks
Özçelik, Fatih Mehmet; Uysal Bıyıkoğlu, Elif; Department of Electrical and Electronics Engineering (2012)
Progress in energy harvesting technology and the increasing need for the energy efficient and environmentally friendly applications have called for reconsideration of communication systems. This reconsideration results in new problem formulations regarding the recent developments on energy harvesting systems. Recently, optimal strategies for various types of energy harvesting networks have been developed based on different harvesting models. This thesis reports the results of our research to develop the opt...
Control of spatial phase empowering spectral splitting and concentration of solar spectrum
Gün, Berk Nezir; Yüce, Emre (2020-11-25)
Harvesting energy from a broad-spectrum light with high efficiency is a long-standing endeavor given the increasingly important energy source yet to be exploited further: sunlight. No material alone can derive energy from a broadband light with high efficiency. That being the case, the methods benefitting from spectral sub-bands together with concentration are in demand to utilize record level efficiency in photovoltaic cells. It is possible to get these sub-bands by portioning a broadband light through...
Power stage design and implementation of a deploymentmechanism driver for space applications
Özdemir, Başak Gonca; Hızal, Mirzahan; Department of Electrical and Electronics Engineering (2012)
With the developments in space technology, the capabilities of spacecrafts have been increased considerably which in turn have entailed the development of more efficient spacecrafts in terms of cost, mass, size and power. One way to achieve such a development is the replacement of body mounted appendages with the deployable ones, which greatly reduces the size, mass and cost of the spacecraft especially when large appendages are considered. In order to obtain these deployable structures, deployment mechanis...
Analytical Modelling, Simulation and Comparative Study of Multi-Junction Solar Cells Efficiency
Hadjdida, Abdelkader; Bourahla, Mohamed; Ertan, Hulusi Bülent; Bekhti, Mohamed (2018-12-01)
Currently, solar energy is promising the primary source of renewable energy that has a great potential to generate power for an extremely low operating cost when compared to already existing power generation technologies. Increasing the efficiency of solar cells is a major goal and the prominent factor in photovoltaic system research. Current triple junction solar cells reach 30% and the next generation will bring 35% in 5 years to peak at 40%. These cells are used in space environment and in terrestrial sy...
Optimal transmission scheduling for energy harvesting systems and implementation of energy efficient scheduling algorithms on software defined radio /
Uçtu, Göksel; Uysal Bıyıkoğlu, Elif; Department of Electrical and Electronics Engineering (2014)
Recently, improving energy efficiency in the rapidly evolving technology field of wireless communications has become an important need. To improve the ease of use, extend the field of application of wireless communications, and sustain the applications that use the technology for longer durations with less energy expenditure, study of energy harvesting systems has gained momentum. In this thesis, an offline scheduling problem in an energy harvesting system has been solved and three scheduling alorithms have...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
H. Erkal, “Optimization of energy harvesting wireless communication systems,” M.S. - Master of Science, Middle East Technical University, 2011.