@article{Blasco:2013:10.1109/TWC.2013.030413.121120,
author = {Blasco, P and Gunduz, D and Dohler, M},
doi = {10.1109/TWC.2013.030413.121120},
journal = {IEEE Transactions on Wireless Communications},
pages = {1872--1882},
title = {A Learning Theoretic Approach to Energy Harvesting Communication System Optimization},
url = {http://dx.doi.org/10.1109/TWC.2013.030413.121120},
volume = {12},
year = {2013}
}

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TY  - JOUR
AB  - A point-to-point wireless communication system in which the transmitter isequipped with an energy harvesting device and a rechargeable battery, isstudied. Both the energy and the data arrivals at the transmitter are modeledas Markov processes. Delay-limited communication is considered assuming thatthe underlying channel is block fading with memory, and the instantaneouschannel state information is available at both the transmitter and thereceiver. The expected total transmitted data during the transmitter'sactivation time is maximized under three different sets of assumptionsregarding the information available at the transmitter about the underlyingstochastic processes. A learning theoretic approach is introduced, which doesnot assume any a priori information on the Markov processes governing thecommunication system. In addition, online and offline optimization problems arestudied for the same setting. Full statistical knowledge and causal informationon the realizations of the underlying stochastic processes are assumed in theonline optimization problem, while the offline optimization problem assumesnon-causal knowledge of the realizations in advance. Comparing the optimalsolutions in all three frameworks, the performance loss due to the lack of thetransmitter's information regarding the behaviors of the underlying Markovprocesses is quantified.
AU  - Blasco,P
AU  - Gunduz,D
AU  - Dohler,M
DO  - 10.1109/TWC.2013.030413.121120
EP  - 1882
PY  - 2013///
SN  - 1536-1276
SP  - 1872
TI  - A Learning Theoretic Approach to Energy Harvesting Communication System Optimization
T2  - IEEE Transactions on Wireless Communications
UR  - http://dx.doi.org/10.1109/TWC.2013.030413.121120
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=000321198300042&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/15315
VL  - 12
ER  - 

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