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Benefits of Coding on Age of Information in Broadcast Networks

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arxiv 1904.10077 v1 pith:5VMETEJH submitted 2019-04-22 cs.NI cs.ITmath.IT

Xingran Chen , Shirin Saeedi Bidokhti This is my paper · ORCID
classification cs.NIcs.ITmath.IT
keywords policiesbroadcastclasscodingdeterministicinformationnetworksrandomized
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Age of Information (AoI) is studied in two-user broadcast networks with feedback, and lower and upper bounds are derived on the expected weighted sum AoI of the users. In particular, a class of simple coding actions is considered and within this class, randomized and deterministic policies are devised. Explicit conditions are found for symmetric dependent channels under which coded randomized policies strictly outperform the corresponding uncoded policies. Similar behavior is numerically shown for deterministic policies.

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Cited by 1 Pith paper

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  1. A Reinforcement Learning Framework for Optimizing Age-of-Information in RF-powered Communication Systems

    cs.IT 2019-08 conditional novelty 5.0 of 10

    For RF-powered multi-source monitoring systems, the age-optimal sampling policy is threshold-based in each process's age, and a deep Q-network can learn it efficiently.

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