Optimization of energy harvesting wireless communication systems

Erkal, Hakan
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.


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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...
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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
H. Erkal, “Optimization of energy harvesting wireless communication systems,” M.S. - Master of Science, Middle East Technical University, 2011.