Title :
Optimal energy-bandwidth allocation for energy harvesting interference networks
Author :
Zhe Wang ; Aggarwal, Vaneet ; Xiaodong Wang
Author_Institution :
Electr. Eng. Dept., Columbia Univ., New York, NY, USA
fDate :
June 29 2014-July 4 2014
Abstract :
We develop optimal energy-bandwidth allocation algorithm for the energy harvesting transmitters in interference networks. We assume that both the channel gain and the harvested energy are known for K slots as a priori, and the battery capacity is finite. The problem is formulated as a convex optimization problem with O(NK) constraints, making it hard to solve efficiently with a generic convex solver. To efficiently obtain the optimal energy-bandwidth allocation for each transmitter in each time slot, an iterative algorithm is proposed based on solving two subproblems with efficient algorithms, that has an overall complexity of O(NK2). Moreover, the numerical results show that the proposed iterative algorithm achieves the optimal performance, providing a significant improvement as compared to some naive allocation policies.
Keywords :
bandwidth allocation; battery management systems; channel allocation; communication complexity; convex programming; energy harvesting; iterative methods; radio transmitters; telecommunication power management; O(NK) constraint; battery capacity; channel gain; communication complexity; convex optimization problem; energy harvesting interference network; iterative algorithm; optimal energy bandwidth allocation; transmitter; Batteries; Channel allocation; Energy harvesting; Heuristic algorithms; Iterative methods; Resource management; Transmitters;
Conference_Titel :
Information Theory (ISIT), 2014 IEEE International Symposium on
Conference_Location :
Honolulu, HI
DOI :
10.1109/ISIT.2014.6875016