Binary energy harvesting channel with finite energy storage

Kaya Tutuncuoglu, Omur Ozel, Aylin Yener, Sennur Ulukus

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    55 Scopus citations


    We consider the capacity of an energy harvesting communication channel with a finite-sized battery. As an abstraction of this problem, we consider a system where energy arrives at the encoder in multiples of a fixed quantity, and the physical layer is modeled accordingly as a finite discrete alphabet channel based on this fixed quantity. Further, for tractability, we consider the case of binary energy arrivals into a unit-capacity battery over a noiseless binary channel. Viewing the available energy as state, this is a state-dependent channel with causal state information available only at the transmitter. Further, the state is correlated over time and the channel inputs modify the future states. We show that this channel is equivalent to an additive geometric-noise timing channel with causal information of the noise available at the transmitter. We provide a single-letter capacity expression involving an auxiliary random variable, and evaluate this expression with certain auxiliary random variable selection, which resembles noise concentration and lattice-type coding in the timing channel. We evaluate the achievable rates by the proposed auxiliary selection and extend our results to noiseless ternary channels.

    Original languageEnglish (US)
    Title of host publication2013 IEEE International Symposium on Information Theory, ISIT 2013
    Number of pages5
    StatePublished - 2013
    Event2013 IEEE International Symposium on Information Theory, ISIT 2013 - Istanbul, Turkey
    Duration: Jul 7 2013Jul 12 2013

    Publication series

    NameIEEE International Symposium on Information Theory - Proceedings
    ISSN (Print)2157-8095


    Other2013 IEEE International Symposium on Information Theory, ISIT 2013

    All Science Journal Classification (ASJC) codes

    • Theoretical Computer Science
    • Information Systems
    • Modeling and Simulation
    • Applied Mathematics


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