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Discrete-Rate Adaptation and Selection in Energy Harvesting Wireless Systems

Khairnar, Parag S and Mehta, Neelesh B (2015) Discrete-Rate Adaptation and Selection in Energy Harvesting Wireless Systems. In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 14 (1). pp. 219-229.

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Official URL: http://dx.doi.org/ 10.1109/TWC.2014.2337296

Abstract

In a system with energy harvesting (EH) nodes, the design focus shifts from minimizing energy consumption by infrequently transmitting less information to making the best use of available energy to efficiently deliver data while adhering to the fundamental energy neutrality constraint. We address the problem of maximizing the throughput of a system consisting of rate-adaptive EH nodes that transmit to a destination. Unlike related literature, we focus on the practically important discrete-rate adaptation model. First, for a single EH node, we propose a discrete-rate adaptation rule and prove its optimality for a general class of stationary and ergodic EH and fading processes. We then study a general system with multiple EH nodes in which one is opportunistically selected to transmit. We first derive a novel and throughput-optimal joint selection and rate adaptation rule (TOJSRA) when the nodes are subject to a weaker average power constraint. We then propose a novel rule for a multi-EH node system that is based on TOJSRA, and we prove its optimality for stationary and ergodic EH and fading processes. We also model the various energy overheads of the EH nodes and characterize their effect on the adaptation policy and the system throughput.

Item Type: Journal Article
Publication: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Additional Information: Copy right for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA
Keywords: Energy harvesting; fading channels; rate adaptation; power constraint; energy neutrality; opportunistic selection
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited: 01 Apr 2015 12:11
Last Modified: 01 Apr 2015 12:11
URI: http://eprints.iisc.ac.in/id/eprint/51144

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