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

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 u...

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Bibliographic Details
Published in:IEEE open journal of the Communications Society Vol. 4; p. 1
Main Authors: Wang, Huaxia, Yao, Yu-Dong
Format: Journal Article
Language:English
Published: New York IEEE 01.01.2023
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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ISSN:2644-125X, 2644-125X
Online Access:Get full text
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Summary: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.
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ISSN:2644-125X
2644-125X
DOI:10.1109/OJCOMS.2023.3285541