NDLI: Optimal Energy Allocation for Wireless Communications With Energy Harvesting Constraints

Content Provider	IEEE Xplore Digital Library
Author	Chin Keong Ho Rui Zhang
Copyright Year	1991
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.
Sponsorship	IEEE Signal Processing Society
Starting Page	4808
Ending Page	4818
Page Count	11
File Size	2340162
File Format	PDF
ISSN	1053587X
Volume Number	60
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Silicon Batteries Transmitters Throughput Resource management Energy harvesting wireless communications Convex optimization dynamic programming energy harvesting optimal policy
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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