Title :
Optimal scheduling for energy harvesting transmitters with hybrid energy storage
Author :
Ozel, Omur ; Shahzad, Khurram ; Ulukus, Sennur
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA
Abstract :
We consider data transmission with an energy harvesting transmitter which has a hybrid energy storage unit composed of a perfectly efficient super-capacitor (SC) and an inefficient battery. The SC has finite space for energy storage while the battery has unlimited space. The transmitter can choose to store the harvested energy in the SC or in the battery. The energy is drained from the SC and the battery simultaneously. In this setting, we consider the offline throughput maximization problem by a deadline over a point-to-point channel. In contrast to previous works, the hybrid energy storage model with finite and unlimited storage capacities imposes a generalized set of constraints on the transmission policy. As such, we show that the solution generalizes that for a single battery and is obtained by applying directional water-filling algorithm multiple times.
Keywords :
energy harvesting; optimisation; radio transmitters; scheduling; secondary cells; supercapacitors; battery; data transmission; directional water-filling algorithm multiple times; energy harvesting transmitters; finite space; finite storage capacity; harvested energy; hybrid energy storage model; hybrid energy storage unit; offline throughput maximization problem; optimal scheduling; point-to-point channel; super-capacitor; transmission policy; Batteries; Energy exchange; Energy harvesting; Resource management; Throughput; Transmitters;
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIT.2013.6620534