Jamming energy allocation in training-based multiple access systems

Hamed Pezeshki, Xiangyun Zhou, Behrouz Maham

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

We consider the problem of jamming attack in a multiple access channel with training-based transmission. First, we derive upper and lower bounds on the maximum achievable ergodic sum-rate which explicitly shows the impact of jamming during both the training phase and the data transmission phase. Then, from the jammer's design perspective, we analytically find the optimal jamming energy allocation between the two phases that minimizes the derived bounds on the ergodic sum-rate. Numerical results demonstrate that the obtained optimal jamming design reduces the ergodic sum-rate of the legitimate users considerably in comparison to fixed power jamming.

Original languageEnglish
Article number6510561
Pages (from-to)1140-1143
Number of pages4
JournalIEEE Communications Letters
Volume17
Issue number6
DOIs
Publication statusPublished - 2013

Keywords

  • Jamming
  • multiple access channel
  • optimum energy allocation
  • training-based transmission

ASJC Scopus subject areas

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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