Robust Chance-Constrained Secure Transmission for Cognitive Satellite-Terrestrial Networks

Bin Li, Zesong Fei, Zheng Chu, Fuhui Zhou, Kai Kit Wong, Pei Xiao

Research output: Journal PublicationArticlepeer-review

127 Citations (Scopus)

Abstract

Cognitive satellite-terrestrial networks (CSTNs) have been recognized as a promising network architecture for addressing spectrum scarcity problem in next-generation communication networks. In this paper, we investigate the secure transmission for CSTNs where the terrestrial base station serving as a green interference resource is introduced to enhance the security of the satellite link. Adopting a stochastic model for the channel state information uncertainty, we propose a secure and robust beamforming framework to minimize the transmit power, while satisfying a range of outage (probabilistic) constraints concerning the signal-to-interference-plus-noise ratio (SINR) recorded at the satellite user and the terrestrial user, the leakage-SINR recorded at the eavesdropper, as well as the interference power recorded at the satellite user. The resulting robust optimization problem is highly intractable and the key observation is that the highly intractable probability constraints can be equivalently reformulated as the deterministic versions with Gaussian statistics. In this regard, we develop two robust reformulation methods, namely S-procedure and Bernstein-type inequality restriction techniques, to obtain a safe approximate solution. In the meantime, the computational complexities of the proposed schemes are analyzed. Finally, the effectiveness of the proposed schemes are demonstrated by numerical results with different system parameters.

Original languageEnglish
Pages (from-to)4208-4219
Number of pages12
JournalIEEE Transactions on Vehicular Technology
Volume67
Issue number5
DOIs
Publication statusPublished - May 2018
Externally publishedYes

Keywords

  • Satellite-terrestrial networks
  • outage probability
  • physical-layer security
  • power minimization
  • robust beamforming

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Automotive Engineering

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