Joint optimization of communication scheduling and online power allocation in remote estimation

Xiaobin Gao, Emrah Akyol, Tamer Basar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper studies a specific sequential decision making problem: joint optimization of power and communication decisions of a remote estimation problem over an additive noise channel. At each time, the sensor observes a sample from a one-dimensional stochastic process, and then decides whether to transmit its observation to the remote estimator or not, which takes place over an additive noise channel. The number of transmissions and the total power spent over a finite horizon are limited. If the sensor decides to transmit its observation, it sends the observation to the encoder. The encoder then sends an encoded message to the remote estimator over the communication channel. The remote estimator generates real time estimates on the source based on the information received from the encoder over the channel. While the prior work considered the average power case, we are interested here in a more general setting where the encoder has a constraint on the total encoding power over the time horizon, and hence can optimize power jointly, in a closed loop fashion, with the communication decisions. Under some technical assumptions, we obtain team optimal decision policies including threshold-based communication scheduling policies together with affine encoding and decoding policies. We demonstrate the effectiveness of our joint optimization approach via numerical computations.

Original languageEnglish (US)
Title of host publicationConference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages714-718
Number of pages5
ISBN (Electronic)9781538639542
DOIs
StatePublished - Mar 1 2017
Event50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016 - Pacific Grove, United States
Duration: Nov 6 2016Nov 9 2016

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016
CountryUnited States
CityPacific Grove
Period11/6/1611/9/16

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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