A Low-complexity policy for outage probability minimization with an energy harvesting transmitter

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Title: A Low-complexity policy for outage probability minimization with an energy harvesting transmitter
Authors: Isikman, AO
Yuksel, M
Gunduz, D
Item Type: Journal Article
Abstract: Outage probability in an energy harvesting (EH) block-fading communication system is studied in the finite-horizon online setting. First, the offline version of the problem is considered, and formulated as a mixed integer linear program (MILP). Then, the infinite-horizon online problem (IIL) is considered relaxing the battery constraints. Solutions of these two problems provide lower bounds on the finite-horizon online problem, for which we provide a low-complexity heuristic scheme, called the fixed threshold transmission (FTT) scheme. Numerical results show that the FTT scheme achieves an outage performance close to the MILP lower bound for a wide range of operation regimes, and close to IIL when the EH rate is low. It is also observed that the power allocated by the FTT scheme resembles the optimal offline solution with high probability, despite the lack of information about future channel states and energy arrivals.
Issue Date: 22-Dec-2016
Date of Acceptance: 9-Dec-2016
URI: http://hdl.handle.net/10044/1/43393
DOI: https://dx.doi.org/10.1109/LCOMM.2016.2641418
ISSN: 1558-2558
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Start Page: 917
End Page: 920
Journal / Book Title: IEEE Communications Letters
Volume: 21
Issue: 4
Copyright Statement: © 2016 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information
Sponsor/Funder: British Council (UK)
Funder's Grant Number: 173605884
Keywords: Science & Technology
Energy harvesting
outage probability
power allocation
fading channels
Networking & Telecommunications
0906 Electrical And Electronic Engineering
1005 Communications Technologies
0805 Distributed Computing
Publication Status: Published
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering

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