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 (N K) 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 (N K-2). 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.