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Capacity of Gaussian Channels With Energy Harvesting and Processing Cost

Rajesh, Ramachandran and Sharma, Vinod and Viswanath, Pramod (2014) Capacity of Gaussian Channels With Energy Harvesting and Processing Cost. In: IEEE TRANSACTIONS ON INFORMATION THEORY, 60 (5). pp. 2563-2575.

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Official URL: http://dx.doi.org/10.1109/TIT.2014.2311822

Abstract

Energy harvesting sensor nodes are gaining popularity due to their ability to improve the network life time and are becoming a preferred choice supporting green communication. In this paper, we focus on communicating reliably over an additive white Gaussian noise channel using such an energy harvesting sensor node. An important part of this paper involves appropriate modeling of energy harvesting, as done via various practical architectures. Our main result is the characterization of the Shannon capacity of the communication system. The key technical challenge involves dealing with the dynamic (and stochastic) nature of the (quadratic) cost of the input to the channel. As a corollary, we find close connections between the capacity achieving energy management policies and the queueing theoretic throughput optimal policies.

Item Type: Journal Article
Publication: IEEE TRANSACTIONS ON INFORMATION THEORY
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Additional Information: copyright for this article belongs to EEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, USA.
Keywords: Capacity; energy harvesting; sensor networks; fading channel; energy buffer; network life time
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 12 Jun 2014 10:28
Last Modified: 12 Jun 2014 10:28
URI: http://eprints.iisc.ac.in/id/eprint/49166

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