Energy-spectral efficiency tradeoff in cognitive radio networks

Wensheng Zhang, Cheng-Xiang Wang, Di Chen, Hailiang Xiong

Research output: Contribution to journalArticlepeer-review

46 Citations (Scopus)


In this paper, we propose a general framework to evaluate the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in cognitive radio networks (CRNs). The proposed framework is discussed in three typical CRN paradigms: underlay CRNs (UCRNs), overlay CRNs (OCRNs), and interweave CRNs (ICRNs). The EE-SE relation for three CRNs is expressed in the closed-form formulation, in which the optimal (suboptimal) EE solution as the function of SE is deduced with the corresponding limits. The theoretical analysis and numerical results indicate that the EE-SE relation in CRNs is not contrary, i.e., an optimal EE-SE tradeoff can be achieved. The proposed framework provides a useful guidance in the design of practical green CRNs.

Original languageEnglish
Pages (from-to)2208-2218
Number of pages11
JournalIEEE Transactions on Vehicular Technology
Issue number4
Publication statusPublished - Apr 2016


  • Cognitive radio networks
  • energy efficiency
  • energy-spectral efficiency tradeoff
  • spectral efficiency

ASJC Scopus subject areas

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


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