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On the value of information and mean squared error for noisy Gaussian models

Abstract:

The relationship between the age of information (AoI) and the mean squared error (MSE) in optimisation problems has been widely investigated for various Gaussian Markov models. Recently, we put the AoI in an information-theoretic context and proposed a mutual information-based value of information (VoI) framework to characterise how valuable the status updates are. In this paper, we consider general noisy Gaussian models and investigate the connection between the VoI and MSE. We show that the...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/LCOMM.2022.3188368

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Balliol College
Role:
Author
ORCID:
0000-0003-4003-4662
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More from this funder
Name:
Engineering and Physical Sciences Research Council
Grant:
EP/T02612X/1
Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Communications Letters More from this journal
Volume:
26
Issue:
9
Pages:
2023-2026
Publication date:
2022-07-04
Acceptance date:
2022-06-23
DOI:
EISSN:
1558-2558
ISSN:
1089-7798
Language:
English
Keywords:
Pubs id:
1265251
Local pid:
pubs:1265251
Deposit date:
2022-06-24

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