Full-duplex spectrum sensing for multi-antenna non-time-slotted cognitive radio networks

Yibo He, Jiang Xue, Tharmalingam Ratnarajah, Mathini Sellathurai

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

8 Citations (Scopus)

Abstract

In order to improve the spectral efficiency of a cognitive radio (CR) network and consider the asynchronism between the primary and secondary networks, this paper investigates a full-duplex (FD) non-time-slotted CR system based on the multi-antenna energy detection. The secondary transmitter with the FD technique can perform spectrum sensing and data transmission simultaneously. Firstly, the closed-form expressions of the probabilities of false alarm and missed detection are derived based on the proposed system with multiple sensing antennas. Secondly, the total error rate performance of the system is investigated in order to consider the benefits of the primary and secondary users concurrently. Meanwhile, the optimal decision threshold pair is investigated to minimize the total error rate of the system. Furthermore, the derived expressions in this paper are verified by simulation results and the obtained optimal decision threshold pairs achieve the minimum total error rates.

Original languageEnglish
Title of host publication2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
PublisherIEEE
ISBN (Electronic)9781509017492
DOIs
Publication statusPublished - 11 Aug 2016
Event17th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2016 - Edinburgh, United Kingdom
Duration: 3 Jul 20166 Jul 2016

Conference

Conference17th IEEE International Workshop on Signal Processing Advances in Wireless Communications 2016
Abbreviated titleSPAWC 2016
Country/TerritoryUnited Kingdom
CityEdinburgh
Period3/07/166/07/16

Keywords

  • Full-duplex
  • non-time-slotted
  • optimization
  • spectrum sensing
  • total error rate

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Information Systems

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