Title :
Energy-harvesting powered transmissions of delay-limited data packets
Author :
Xiaojing Chen ; Xin Wang ; Xiaolin Zhou
Author_Institution :
Dept. of Commun. Sci. & Eng., Fudan Univ., Shanghai, China
Abstract :
This paper develops novel approaches for energy-harvesting powered transmissions of delay-limited busty data packets under both ideal and non-ideal circuit power consumption. It is shown that the problems can be formulated as convex programs. Relying on the specific structure of the optimality conditions, we put forth efficient algorithms to find the optimal transmission strategies with a low computational complexity. It is revealed that the optimal energy departure curve for the ideal circuit power case can be yielded by a vivid calculus method. On the other hand, the optimal energy departure for the general non-ideal circuit power case can be obtained by simply adjusting the ideal-case energy departure in accordance to an energy efficient (EE) maximizing power value.
Keywords :
calculus; computational complexity; convex programming; energy harvesting; power consumption; wireless sensor networks; EE; computational complexity; convex programming; delay-limited busty data packet; energy efficiency; energy-harvesting powered transmission; ideal circuit power consumption; nonideal circuit power consumption; optimal energy departure curve; optimal transmission strategy; power value maximization; vivid calculus method; wireless sensor network; Artificial neural networks; Batteries; Calculus; Communication systems; Green products; Power demand; Transmitters; Wireless sensor networks; convex optimization; energy efficiency; energy harvesting; non-ideal circuit power;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GLOCOM.2014.7037191