Robust Beamforming for Enhancing Security in Multibeam Satellite Systems

This letter proposes a robust beamforming (BF) scheme to enhance physical layer security (PLS) of the downlink of a multibeam satellite system in the presence of either uncoordinated or coordinated eavesdroppers (Eves). Specifically, with knowing only the approximate locations of the Eves, we aim at maximizing the worst-case achievable secrecy rate (ASR) of the legitimate user (LU), subject to the constraints of per-antenna transmit power and quality of service (QoS) requirement of the LU. Since the optimization problem is non-convex, we first adopt the discretization method to deal with the unknown regions of the Eves and then exploit the log-sum-exp function to approximate the objective function. Afterwards, a BF method joint alternating direction method of multipliers (ADMM) with Dinkelbach iteration is presented to solve this non-convex problem. Finally, simulation results verify that our robust BF algorithm can effectively improve the security of multibeam satellite systems.

[1]  Chenhao Qi,et al.  Precoding Design for Energy Efficiency of Multibeam Satellite Communications , 2018, IEEE Communications Letters.

[2]  H. Vincent Poor,et al.  Secrecy Rate Optimization for Secure Multicast Communications , 2016, IEEE Journal of Selected Topics in Signal Processing.

[3]  Björn E. Ottersten,et al.  Physical Layer Security in Multibeam Satellite Systems , 2012, IEEE Transactions on Wireless Communications.

[4]  Boyu Ning,et al.  Low-Complexity Analog Beamforming for mmWave Large-Scale MISOME Wiretap Channel , 2020, IEEE Communications Letters.

[5]  Symeon Chatzinotas,et al.  Signal Processing for High-Throughput Satellites: Challenges in new interference-limited scenarios , 2018, IEEE Signal Processing Magazine.

[6]  Yongming Huang,et al.  Robust Secure Beamforming for 5G Cellular Networks Coexisting With Satellite Networks , 2018, IEEE Journal on Selected Areas in Communications.

[7]  Naofal Al-Dhahir,et al.  Secure and Energy Efficient Transmission for RSMA-Based Cognitive Satellite-Terrestrial Networks , 2021, IEEE Wireless Communications Letters.

[8]  Julian Cheng,et al.  Supporting IoT With Rate-Splitting Multiple Access in Satellite and Aerial-Integrated Networks , 2021, IEEE Internet of Things Journal.

[9]  Mohamed-Slim Alouini,et al.  Robust Secure Beamforming for Multibeam Satellite Communication Systems , 2019, IEEE Transactions on Vehicular Technology.

[10]  I. Stancu-Minasian Nonlinear Fractional Programming , 1997 .

[11]  Yi Chen,et al.  Global solutions to nonconvex optimization of 4th-order polynomial and log-sum-exp functions , 2016, J. Glob. Optim..

[12]  Nikos D. Sidiropoulos,et al.  Consensus-ADMM for General Quadratically Constrained Quadratic Programming , 2016, IEEE Transactions on Signal Processing.

[13]  Wei-Ping Zhu,et al.  Joint Beamforming for Secure Communication in Cognitive Satellite Terrestrial Networks , 2018, IEEE Journal on Selected Areas in Communications.

[14]  Mohamed-Slim Alouini,et al.  Performance Analysis of Integrated Satellite-Terrestrial Multiantenna Relay Networks With Multiuser Scheduling , 2020, IEEE Transactions on Aerospace and Electronic Systems.

[15]  Hsiao-Hwa Chen,et al.  A Survey on Multiple-Antenna Techniques for Physical Layer Security , 2017, IEEE Communications Surveys & Tutorials.

[16]  Naofal Al-Dhahir,et al.  Secure Beamforming for Cognitive Satellite Terrestrial Networks With Unknown Eavesdroppers , 2021, IEEE Systems Journal.