TY - GEN
T1 - Robust secure beamforming for cognitive satellite terrestrial networks at millimeter-wave frequency
AU - Lin, Min
AU - Lin, Zhi
AU - Wang, Kun
AU - Xu, Wei
AU - Guo, Song
AU - Ouyang, Jian
PY - 2018/2/8
Y1 - 2018/2/8
N2 - In this paper, we present a robust beamforming (BF) scheme to improve the physical layer security (PLS) of a cognitive satellite terrestrial network (CSTN) at millimeter wave (mmWave) frequency. By employing the standard recommendations and the mmWave propagation model, a PLS framework is first defined for the CSTN in the presence of multiple eavesdroppers (Eves). A constrained optimization problem is then formulated to maximize the worst-case achievable secrecy rate of the cellular user subject to an allowable interference level for the satellite user. By expressing the imperfect Eve's channel state information (CSI) as a combination of many given angle-of-arrival (AOA) based discrete sets, we propose a method to transform the worst-case optimization problem into a min-max problem and then develop an iterative BF scheme to yield an analytical solution for the weight vectors. Finally, simulation results confirming the effectiveness and superiority of the proposed BF scheme are provided.
AB - In this paper, we present a robust beamforming (BF) scheme to improve the physical layer security (PLS) of a cognitive satellite terrestrial network (CSTN) at millimeter wave (mmWave) frequency. By employing the standard recommendations and the mmWave propagation model, a PLS framework is first defined for the CSTN in the presence of multiple eavesdroppers (Eves). A constrained optimization problem is then formulated to maximize the worst-case achievable secrecy rate of the cellular user subject to an allowable interference level for the satellite user. By expressing the imperfect Eve's channel state information (CSI) as a combination of many given angle-of-arrival (AOA) based discrete sets, we propose a method to transform the worst-case optimization problem into a min-max problem and then develop an iterative BF scheme to yield an analytical solution for the weight vectors. Finally, simulation results confirming the effectiveness and superiority of the proposed BF scheme are provided.
UR - http://www.scopus.com/inward/record.url?scp=85045275571&partnerID=8YFLogxK
U2 - 10.1109/VTCFall.2017.8287969
DO - 10.1109/VTCFall.2017.8287969
M3 - Conference article published in proceeding or book
AN - SCOPUS:85045275571
T3 - IEEE Vehicular Technology Conference
SP - 1
EP - 6
BT - 2017 IEEE 86th Vehicular Technology Conference, VTC Fall 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 86th IEEE Vehicular Technology Conference, VTC Fall 2017
Y2 - 24 September 2017 through 27 September 2017
ER -