Information-Theoretic Analysis of an Energy Harvesting Communication System

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Executive Summary

In energy harvesting communication systems, exogenous recharge process supplies energy for the data transmission and arriving energy can be buffered in a battery before consumption. Transmission is interrupted if there is not sufficient energy. The authors address communication with such random energy arrivals in an information-theoretic setting. Based on the classical Additive White Gaussian Noise (AWGN) channel model, they study the coding problem with random energy arrivals at the transmitter. They show that the capacity of the AWGN channel with stochastic energy arrivals is equal to the capacity with an average power constraint equal to the average recharge rate. They provide two different capacity achieving schemes: save- and transmit and best-effort-transmit.

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