Optimal transmit power and active interference mitigation of underlay MIMO cognitive systems

Nikolaos I. Miridakis, Minghua Xia, Theodoros A. Tsiftsis

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

Abstract

In this paper, the performance of an underlay multiple-input multiple-output (MIMO) cognitive radio system is analytically studied. In particular, the multiple antennas of the secondary transmitter operate in a spatial multiplexing transmission mode, while a zero-forcing (ZF) detector is employed at the secondary receiver. Additionally, the secondary system is interfered by multiple randomly distributed single-antenna primary users (PUs). To enhance the performance of secondary transmission, optimal power allocation is performed at the secondary transmitter with a constraint on the interference temperature (IT) specified by the PUs. To mitigate instantaneous excessive interference onto PUs caused by the time-average IT, an iterative antenna reduction algorithm is developed for the secondary transmitter and, accordingly, the average number of transmit antennas is analytically computed. Extensive numerical and simulation results corroborate the effectiveness of our analysis.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Communications, ICC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467389990
DOIs
Publication statusPublished - Jul 28 2017
Event2017 IEEE International Conference on Communications, ICC 2017 - Paris, France
Duration: May 21 2017May 25 2017

Conference

Conference2017 IEEE International Conference on Communications, ICC 2017
CountryFrance
CityParis
Period5/21/175/25/17

Keywords

  • Cognitive radio (CR)
  • interference
  • multiple-input multiple-output (MIMO)
  • optimal power optimization
  • spatial multiplexing
  • zero-forcing (ZF) detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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