Output details
11 - Computer Science and Informatics
King's College London
Article title
A Learning Theoretic Approach to Energy Harvesting Communication System Optimization
Type
D - Journal article
Title of journal
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Article number
-
Volume number
12
Issue number
4
First page of article
1872
ISSN of journal
1536-1276
Year of publication
2013
URL
-
Number of additional authors
2
Additional information
<04>With energy efficiency one of the most stringent design requirements of wireless systems, energy harvesting is considered to be a prime mechanism to gather energy from the surroundings. A significant problem towards practical implementation however is the volatile availability of energy. Being one of the first transactions papers of this kind, this paper explores the ability to schedule in an optimal fashion stochastic data traffic given stochastic energy availability using a purely distributed and autonomous learning approach. This allows, for the first time, practical implementation of said mechanisms.
Interdisciplinary
-
Cross-referral requested
-
Research group
F - Centre for Telecommunications Research
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
