Optimal achievable rate trade-off in cooperative cognitive radio systems

Ruochen Zeng, Cihan Tepedelenlioglu

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

2 Scopus citations

Abstract

A relay-aided cooperative underlay cognitive radio system with random number of secondary users (SU), and an interference constraint at the primary receiver (PR) is considered. When the primary (PU) is active, those SUs whose interference at the PR is above a threshold will amplify-and-forward PU's signal to enhance the PU's performance, and those SUs below this threshold will proceed with their own transmission in an underlay fashion. As the mean number of relay SUs increases, the PU's performance is improved but causes degradation of SU system performance. We study the optimal trade-off between the achievable rate of the SU and PU systems in the large mean number of SUs regime. This is then followed by a derivation of the optimal ratio between the mean number of relays and underlay SUs. Monte-Carlo simulations are used to verify our analytical results.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3579-3583
Number of pages5
ISBN (Electronic)9781509041176
DOIs
StatePublished - Jun 16 2017
Externally publishedYes
Event2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States
Duration: Mar 5 2017Mar 9 2017

Other

Other2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
CountryUnited States
CityNew Orleans
Period3/5/173/9/17

Keywords

  • Cognitive radio
  • opportunistic relay selection
  • random number of users

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Zeng, R., & Tepedelenlioglu, C. (2017). Optimal achievable rate trade-off in cooperative cognitive radio systems. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings (pp. 3579-3583). [7952823] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2017.7952823