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On the conditional entropy of wireless networks

Abstract:

The characterization of topological uncertainty in wireless networks using the formalism of graph entropy has received interest in the spatial networks community. In this paper, we develop lower bounds on the entropy of a wireless network by conditioning on potential network observables. Two approaches are considered: 1) conditioning on subgraphs, and 2) conditioning on node positions. The first approach is shown to yield a relatively tight bound on the network entropy. The second yields a lo...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.23919/WIOPT.2018.8362874

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Oriel College
Role:
Author
ORCID:
0000-0002-9623-5087
Independent Research Fund Denmark More from this funder
Publisher:
Institute of Electrical and Electronics Engineers Publisher's website
Journal:
International Workshop on Spatial Stochastic Models for Wireless Networks (SpaSWiN 2018) Journal website
Host title:
International Workshop on Spatial Stochastic Models for Wireless Networks (SpaSWiN 2018)
Publication date:
2018-05-24
Acceptance date:
2018-03-15
DOI:
Source identifiers:
854774
Keywords:
Pubs id:
pubs:854774
UUID:
uuid:6f835ddb-a387-47cc-ace8-0588692fdb1c
Local pid:
pubs:854774
Deposit date:
2018-06-04

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