Please use this identifier to cite or link to this item: https://doi.org/10.1109/TSP.2012.2199984
Title: Optimal energy allocation for wireless communications with energy harvesting constraints
Authors: Ho, C.K.
Zhang, R. 
Keywords: Convex optimization
dynamic programming
energy harvesting
optimal policy
wireless communications
Issue Date: 2012
Source: Ho, C.K., Zhang, R. (2012). Optimal energy allocation for wireless communications with energy harvesting constraints. IEEE Transactions on Signal Processing 60 (9) : 4808-4818. ScholarBank@NUS Repository. https://doi.org/10.1109/TSP.2012.2199984
Abstract: We consider the use of energy harvesters, in place of conventional batteries with fixed energy storage, for point-to-point wireless communications. In addition to the challenge of transmitting in a channel with time selective fading, energy harvesters provide a perpetual but unreliable energy source. In this paper, we consider the problem of energy allocation over a finite horizon, taking into account channel conditions and energy sources that are time varying, so as to maximize the throughput. Two types of side information (SI) on the channel conditions and harvested energy are assumed to be available: causal SI (of the past and present slots) or full SI (of the past, present and future slots). We obtain structural results for the optimal energy allocation, via the use of dynamic programming and convex optimization techniques. In particular, if unlimited energy can be stored in the battery with harvested energy and the full SI is available, we prove the optimality of a water-filling energy allocation solution where the so-called water levels follow a staircase function. © 1991-2012 IEEE.
Source Title: IEEE Transactions on Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/71282
ISSN: 1053587X
DOI: 10.1109/TSP.2012.2199984
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