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13 - Electrical and Electronic Engineering, Metallurgy and Materials

Imperial College London : A - Electrical and Electronic engineering

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Article title

A Learning Theoretic Approach to Energy Harvesting Communication System Optimization

Type

D - Journal article

DOI

10.1109/TWC.2013.030413.121120

Title of journal

IEEE Transactions on Wireless Communications

Article number

Volume number

Issue number

First page of article

1872

ISSN of journal

1536-1276

Year of publication

2013

URL

Number of additional authors

Additional information

Energy harvesting technology can extend the lifetime of battery limited sensor networks. This paper provides a learning theoretic framework to optimize the communication protocols for energy harvesting wireless transmitters. These principles form the basis of a tutorial that will be presented by Dr. Gunduz (together with Michele Zorzi and Kostas Stamatiou) at the International Conference on Communications (ICC) and International Symposium on Wireless Communication Systems (ISWCS) in 2013. These ideas also led to an international consortium coordinated by Dr. Gunduz, which has received funding within the FP7 CHIST-ERA program as the top-ranked proposal among all the submitted research proposals.

Interdisciplinary

Cross-referral requested

Research group

B - Intelligent Systems and Networks

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract