Energy-efficient link adaptation for secure d2d underlaid cellular networks

Jintaek Oh, Younggap Kwon, Taewon Hwang

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

5 Citations (Scopus)

Abstract

We study energy-efficient secure link adaptation for large-scale device-to-device (D2D) underlaid cellular networks, where base stations (BSs), D2D transmitters, and eavesdroppers (Eve nodes) are distributed as independent homogeneous Poisson point processes. First, we analyze the impact of the underlaid D2D network on the secrecy performance, i.e., secrecy spectral efficiency (SE) and secrecy energy efficiency (EE) of the existing cellular network. We show that when the ratio of the Eve node density to the BS density is above a certain threshold, the secrecy performance of the cellular network first increases and then decreases with the D2D power. Otherwise, it decreases with the D2D power. Next, based on the results, we develop a linkadaptation scheme that controls the D2D power, the confidential message rate, and the redundancy rate to strike a balance between the D2D network's secrecy EE and secrecy SE while guaranteeing a required secrecy performance of the existing cellular network. Simulation results show that the proposed link adaptation scheme can achieve all the points on the Pareto boundary.

Original languageEnglish
Title of host publication2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509013289
DOIs
Publication statusPublished - 2016
Event59th IEEE Global Communications Conference, GLOBECOM 2016 - Washington, United States
Duration: 2016 Dec 42016 Dec 8

Publication series

Name2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings

Other

Other59th IEEE Global Communications Conference, GLOBECOM 2016
Country/TerritoryUnited States
CityWashington
Period16/12/416/12/8

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Safety, Risk, Reliability and Quality

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