Throughput and energy efficiency under queueing and secrecy constraints

Mustafa Ozmen, M. Cenk Gursoy

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

3 Scopus citations

Abstract

A broadcast model in which the transmitter sends confidential and common messages to two receivers is considered. It is assumed that the common and confidential data is stored in buffers prior to transmission and the transmitter operates under constraints on buffer violation probability. Under such constraints, effective capacity formulation is employed to determine the throughput. Moreover, energy per bit is used as the energy efficiency metric and energy efficiency is studied in the low-SNR regime. In particular, minimum energy per bit required for the reliable communication of common and confidential messages is determined and wideband slope regions are identified. The impact of buffer constraints, correlation between channels and secrecy requirements on the energy efficiency is investigated.

Original languageEnglish (US)
Title of host publicationConference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
Pages63-67
Number of pages5
DOIs
StatePublished - Dec 1 2012
Event46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012 - Pacific Grove, CA, United States
Duration: Nov 4 2012Nov 7 2012

Publication series

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

Other

Other46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012
CountryUnited States
CityPacific Grove, CA
Period11/4/1211/7/12

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Ozmen, M., & Gursoy, M. C. (2012). Throughput and energy efficiency under queueing and secrecy constraints. In Conference Record of the 46th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2012 (pp. 63-67). [6488959] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2012.6488959