Technical Program

Paper Detail

Paper Title The Optimal Power Control Policy for an Energy Harvesting System with Look-Ahead: Bernoulli Energy Arrivals
Paper IdentifierMO1.R7.1
Authors Ali Zibaeenejad, Shiraz University, Iran / McMaster University, Canada; Jun Chen, McMaster University, Canada
Session Energy Harvesting
Location Bièvre, Level 5
Session Time Monday, 08 July, 09:50 - 11:10
Presentation Time Monday, 08 July, 09:50 - 10:10
Manuscript  Click here to download the manuscript
Abstract We study power control for an energy harvesting communication system with independent and identically distributed Bernoulli energy arrivals. It is assumed that the transmitter is equipped with a finite-sized rechargeable battery and is able to look ahead to observe a fixed number of future arrivals. A complete characterization is provided for the optimal power control policy that achieves the maximum long-term average throughput over an additive white Gaussian noise channel.