Euclidean Information Theory of Networks

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In this paper, we extend the information theoretic framework that was developed in earlier works to multi-hop network settings. For a given network, we construct a novel deterministic model that quantifies the ability of the network in transmitting private and common messages across users. Based on this model, we formulate a linear optimization problem that explores the throughput of a multi-layer network, thereby offering the optimal strategy as to what kind of common messages should be generated in the network to maximize the throughput. With this deterministic model, we also investigate the role of feedback for multi-layer networks, from which we identify a variety of scenarios in which feedback can improve transmission efficiency. Our results provide fundamental guidelines as to how to coordinate cooperation between users to enable efficient information exchanges across them.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2015-12
Language
English
Article Type
Article
Keywords

CHANNEL; FEEDBACK; CAPACITY

Citation

IEEE TRANSACTIONS ON INFORMATION THEORY, v.61, no.12, pp.6795 - 6814

ISSN
0018-9448
DOI
10.1109/TIT.2015.2484066
URI
http://hdl.handle.net/10203/207186
Appears in Collection
EE-Journal Papers(저널논문)
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