Secondary User Access Control (SUAC) via Quadratic Programming in Massive MIMO Cognitive Radio Networks

Huaxia Wang, Yu Dong Yao

Research output: Contribution to journalArticlepeer-review

Abstract

In cognitive radio (CR) networks, a secondary user access control (SUAC) technique has been designed to enhance spectrum efficiency, in which a jamming signal is deliberately injected to maintain reliable sensing performance of authorized secondary users (A-SUs) and degrades unauthorized secondary users (UA-SUs) spectrum sensing results. We consider the problem of jamming signal design in massive multiple-input multiple-output (MIMO) CR networks wherein each primary user has a larger number of antennas that coexists with multiple secondary users. In this paper, we propose a jamming signal design framework that combines maximizing the jammer's influences on UA-SUs and minimizing on A-SUs. The resulting problem is a non-convex quadratically constrained quadratic programming (QCQP) problem, and a semidefinite relaxation (SDR) method can be one of the approximate solutions but cannot meet our stringent constraints and lacks jamming efficiency. We propose a novel optimization algorithm based on the K -best methodology to design the jamming signal. Simulation results show the effectiveness of the proposed K -best based SUAC method in improving the spectrum sensing performance of A-SUs.

Original languageEnglish
Pages (from-to)1303-1316
Number of pages14
JournalIEEE Open Journal of the Communications Society
Volume4
DOIs
StatePublished - 2023

Keywords

  • Cognitive radio (CR)
  • access control
  • massive MIMO
  • quadratic programming
  • spectrum sensing

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