The Arbitrarily Varying Gaussian Relay Channel with Sender Frequency Division

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Abstract

We consider the arbitrarily varying Gaussian relay channel with sender frequency division. We determine the random code capacity, and establish lower and upper bounds on the deterministic code capacity. It is observed that when the channel input is subject to a low power limit, the deterministic code capacity may be strictly lower than the random code capacity, and the gap vanishes as the input becomes less constrained. A second model addressed in this paper is the general case of primitive arbitrarily varying relay channels. We develop lower and upper bounds on the random code capacity, and give conditions under which the deterministic code capacity coincides with the random code capacity, and conditions under which it is lower. Then, we establish the capacity of the primitive counterpart of the arbitrarily varying Gaussian relay channel with sender frequency division. In this case, the deterministic and random code capacities are the same.

Original languageEnglish
Title of host publication2018 56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018
Pages1097-1103
Number of pages7
ISBN (Electronic)9781538665961
DOIs
StatePublished - 5 Feb 2019
Event56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018 - Monticello, United States
Duration: 2 Oct 20185 Oct 2018

Publication series

Name2018 56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018

Conference

Conference56th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2018
Country/TerritoryUnited States
CityMonticello
Period2/10/185/10/18

Keywords

  • Arbitrarily varying channel
  • Gaussian relay channel
  • Markov block code
  • deterministic code
  • orthogonal sender components
  • partial decode-forward
  • random code
  • sender frequency division

All Science Journal Classification (ASJC) codes

  • Control and Optimization
  • Signal Processing
  • Energy Engineering and Power Technology
  • Hardware and Architecture
  • Computer Networks and Communications

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