TY - GEN
T1 - Power Optimization for Secure mmWave-NOMA Network with Hybrid SU-CU Grouping
AU - Cao, Yang
AU - Wang, Shuai
AU - Jin, Minglu
AU - Zhao, Nan
AU - Chen, Yunfei
AU - Ding, Zhiguo
AU - Wang, Xianbin
N1 - Funding Information:
Nan Zhao is the corresponding author ([email protected]). The work is supported by the National Key R&D Program of China under Grant 2020YFB1807002 and the Fundamental Research Funds for the Central Universities.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Considering the security issue in mmWave-NOMA based networks, the nonorthogonal interference can be exploited to improve the security. In this paper, we propose a novel mmWave-NOMA framework where the users are classified as secure users (SUs) and common users (CUs), to satisfy their heterogeneous security service needs with the presence of ran-domly located eavesdroppers. For better secrecy performance, the NOMA users with stronger channel gains are deemed as SUs, and the hybrid precoding for SUs is designed to strengthen the desired signal and reduce interference. In addition, to reduce the complexity and satisfy the diverse demands, user grouping and power allocation are jointly optimized to maximize the sum rate of CUs subject to the SUs' requirements. The non-convex problem is decomposed into two subproblems, i.e., user grouping and power optimization, and a hybrid SU-CU grouping algorithm and a successive convex approximation based algorithm are proposed to solve them, respectively. Finally, simulation results are provided to show the advantages of the proposed scheme.
AB - Considering the security issue in mmWave-NOMA based networks, the nonorthogonal interference can be exploited to improve the security. In this paper, we propose a novel mmWave-NOMA framework where the users are classified as secure users (SUs) and common users (CUs), to satisfy their heterogeneous security service needs with the presence of ran-domly located eavesdroppers. For better secrecy performance, the NOMA users with stronger channel gains are deemed as SUs, and the hybrid precoding for SUs is designed to strengthen the desired signal and reduce interference. In addition, to reduce the complexity and satisfy the diverse demands, user grouping and power allocation are jointly optimized to maximize the sum rate of CUs subject to the SUs' requirements. The non-convex problem is decomposed into two subproblems, i.e., user grouping and power optimization, and a hybrid SU-CU grouping algorithm and a successive convex approximation based algorithm are proposed to solve them, respectively. Finally, simulation results are provided to show the advantages of the proposed scheme.
KW - mmWave communications
KW - NOMA
KW - power optimization
KW - secrecy transmission
KW - user grouping
UR - http://www.scopus.com/inward/record.url?scp=85127276866&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685273
DO - 10.1109/GLOBECOM46510.2021.9685273
M3 - Conference contribution
AN - SCOPUS:85127276866
T3 - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
BT - 2021 IEEE Global Communications Conference, GLOBECOM 2021 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
Y2 - 7 December 2021 through 11 December 2021
ER -