TY - JOUR
T1 - Secondary User Access Control (SUAC) via Quadratic Programming in Massive MIMO Cognitive Radio Networks
AU - Wang, Huaxia
AU - Yao, Yu Dong
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Cognitive radio (CR)
KW - access control
KW - massive MIMO
KW - quadratic programming
KW - spectrum sensing
UR - http://www.scopus.com/inward/record.url?scp=85163498286&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85163498286&partnerID=8YFLogxK
U2 - 10.1109/OJCOMS.2023.3285541
DO - 10.1109/OJCOMS.2023.3285541
M3 - Article
AN - SCOPUS:85163498286
VL - 4
SP - 1303
EP - 1316
JO - IEEE Open Journal of the Communications Society
JF - IEEE Open Journal of the Communications Society
ER -