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Finite Blocklength Analysis of Energy Harvesting Channels

Shenoy, KG and Sharma, V (2021) Finite Blocklength Analysis of Energy Harvesting Channels. In: Problems of Information Transmission, 57 (1).

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Official URL: https://doi.org/10.1134/S0032946021010014


We consider additive white Gaussian noise channels and discrete memoryless channels where the transmitter harvests energy from the environment. These can model wireless sensor networks as well as Internet of Things. By providing a unifying framework that works for any energy harvesting channel, we study these channels assuming an infinite energy buffer and provide the corresponding achievability and converse bounds on the channel capacity in the finite blocklength regime. We additionally provide moderate deviation asymptotic bounds. © 2021, Pleiades Publishing, Inc.

Item Type: Journal Article
Publication: Problems of Information Transmission
Publisher: Pleiades journals
Additional Information: The copyright for this article belongs to Authors
Keywords: Channel capacity; Gaussian noise (electronic); White noise; Wireless sensor networks, Achievability; Additive white Gaussian noise channel; Asymptotic bounds; Discrete memoryless channels; Finite blocklength regimes; Moderate-deviations, Energy harvesting
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 12 Jul 2021 09:05
Last Modified: 12 Jul 2021 09:05
URI: http://eprints.iisc.ac.in/id/eprint/68831

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