Sennur Ulukus

TL;DR: In this paper, the authors consider a point-to-point data transmission with an energy harvesting transmitter which has a limited battery capacity, communicating in a wireless fading channel, and they consider two objectives: maximizing the throughput by a deadline, and minimizing the transmission completion time of the communication session.

TL;DR: This paper considers optimization of point-to-point data transmission with an energy harvesting transmitter which has a limited battery capacity, communicating in a wireless fading channel, and introduces a directional water-filling algorithm which provides a simple and concise interpretation of the necessary optimality conditions.

TL;DR: In this article, the authors consider the optimal packet scheduling problem in a single-user EH wireless communication system, where both the data packets and the harvested energy are modeled to arrive at the source node randomly and the 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.

TL;DR: The current state of the art for wireless networks composed of energy harvesting nodes, starting from the information-theoretic performance limits to transmission scheduling policies and resource allocation, medium access, and networking issues are provided.

TL;DR: This work develops 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.