Energy-efficiency-based optimal relay selection scheme with a BER constraint in cooperative cognitive radio networks

Xiaorong Xu, Jianrong Bao, Haiyan Cao, Yu Dong Yao, Sanqing Hu

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

Due to the energy constraint of each cognitive user and potential secondary transmission errors, energy efficiency is very important for cognitive nodes in spectrum sensing and cooperative transmissions. In this paper, an energy awareness optimal relay selection (EAORS) scheme is proposed, in which the number of optimal relays is determined by a weighted objective function considering energy consumption in both spectrum sensing and the cooperative transmission phases, under the constraints of the global misdetection requirement and secondary cooperative transmission bit error rate (BER). In the proposed EAORS scheme, we investigate the tradeoff between detection accuracy and energy efficiency and construct the objective function as a weighted convex function of relay numbers with the consideration of global missing detection probability and cooperative transmission BER. This nonlinear convex problem is solved by applying numerical analysis to obtain the optimal relay numbers. Energy consumption analysis is conducted to show the effectiveness of the proposed EAORS scheme. Numerical results show that the proposed scheme outperforms a compressed sensing (CS)-based energy-efficient cooperative detection scheme and provides a tradeoff between detection accuracy and energy efficiency.

Original languageEnglish
Article number7005515
Pages (from-to)191-203
Number of pages13
JournalIEEE Transactions on Vehicular Technology
Volume65
Issue number1
DOIs
StatePublished - 1 Jan 2016

Keywords

  • Bit-error-rate (BER) constraint
  • Cooperative transmission
  • Energy efficiency
  • Nonlinear convex optimization
  • Weighted convex function

Fingerprint

Dive into the research topics of 'Energy-efficiency-based optimal relay selection scheme with a BER constraint in cooperative cognitive radio networks'. Together they form a unique fingerprint.

Cite this