TY - GEN
T1 - Multicast Directional Modulation Based on Sparse Array Optimization
AU - Liu, Na Ying
AU - Yang, Xin
AU - Sun, Wen Bin
AU - Gong, Yan Yun
AU - Wang, Ruofan
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - In recent years, the development of satellite communication is rapid, but the security problems become more significant. In this paper, from the perspective of improving the physical layer security, in the context of secure multicast transmission, we apply the sparse array directional modulation technology to improve the physical layer security. However, the inherent problem of sparse array is the existence of high sidelobe, which threatens the security of information transmission. Simulated annealing algorithm is used to optimize the selection of antenna subset, and some antenna combinations with high sidelobe are removed to obtain the optimized antenna subset codebook. When the distance between each ideal receiver and transmitter is different, the weighted simulated annealing algorithm method is introduced to allocate different transmission power to each receiver with different distance to improve the reception quality of each receiver. Finally, the simulation results verify the correctness of the above theory.
AB - In recent years, the development of satellite communication is rapid, but the security problems become more significant. In this paper, from the perspective of improving the physical layer security, in the context of secure multicast transmission, we apply the sparse array directional modulation technology to improve the physical layer security. However, the inherent problem of sparse array is the existence of high sidelobe, which threatens the security of information transmission. Simulated annealing algorithm is used to optimize the selection of antenna subset, and some antenna combinations with high sidelobe are removed to obtain the optimized antenna subset codebook. When the distance between each ideal receiver and transmitter is different, the weighted simulated annealing algorithm method is introduced to allocate different transmission power to each receiver with different distance to improve the reception quality of each receiver. Finally, the simulation results verify the correctness of the above theory.
KW - Directional modulation
KW - Physical layer security
KW - Satellite communication
KW - Sparse array
UR - http://www.scopus.com/inward/record.url?scp=85125652036&partnerID=8YFLogxK
U2 - 10.1109/IWCMC51323.2021.9498909
DO - 10.1109/IWCMC51323.2021.9498909
M3 - 会议稿件
AN - SCOPUS:85125652036
T3 - 2021 International Wireless Communications and Mobile Computing, IWCMC 2021
SP - 985
EP - 990
BT - 2021 International Wireless Communications and Mobile Computing, IWCMC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021
Y2 - 28 June 2021 through 2 July 2021
ER -