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Refined Asymptotics for a Block Fading Channel under Energy Harvesting and Fixed Power Constraints

Deekshith, PK and Shenoy, KG and Sharma, V (2020) Refined Asymptotics for a Block Fading Channel under Energy Harvesting and Fixed Power Constraints. In: IEEE Transactions on Wireless Communications, 19 (4). pp. 2558-2569.

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Official URL: https://dx.doi.org/10.1109/TWC.2020.2966488


We consider a block fading additive white Gaussian noise (AWGN) channel with perfect channel state information (CSI) at the transmitter (CSIT) and the receiver (CSIR). For a given codeword length and non-vanishing average probability of error, we obtain lower and upper bounds on the maximum transmission rate. First, we derive bounds when the transmitter has a time varying peak power constraint imposed by an energy harvesting device; such devices power many modern wireless devices. Next, using the same techniques we obtain bounds for the canonical peak and average power constraint cases. The bounds characterize the finite blocklength back-off from the channel capacity, which is in turn achieved by water-filling power allocation across time. Finally, we derive bounds on the moderate deviations constant for the block fading model. We compare the bounds numerically to bring out the efficacy of our results. © 2002-2012 IEEE.

Item Type: Journal Article
Publication: IEEE Transactions on Wireless Communications
Publisher: Institute of Electrical and Electronics Engineers Inc.
Additional Information: The copyright of this article belongs to Institute of Electrical and Electronics Engineers Inc.
Keywords: Channel capacity; Energy harvesting; Fading channels; Gaussian noise (electronic); Transmitters; Trellis codes; Turbo codes; White noise, Additive white Gaussian noise channel; Average probability of error; Block fading channel; Energy harvesting device; Lower and upper bounds; Peak-power constraints; Perfect channel state information; Water-filling power allocations, Channel state information
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 10 Aug 2020 11:23
Last Modified: 10 Aug 2020 11:23
URI: http://eprints.iisc.ac.in/id/eprint/65286

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