Robust Beamforming for Physical Layer Security in BDMA Massive MIMO

In this paper, we design robust beamforming to guarantee the physical layer security for a multiuser beam division multiple access (BDMA) massive multiple-input multiple-output (MIMO) system, when the channel estimation errors are taken into consideration. With the aid of artificial noise, the propo...

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Bibliographic Details
Published in:IEEE journal on selected areas in communications 2018-04, Vol.36 (4), p.775-787
Main Authors: Zhu, Fengchao, Gao, Feifei, Lin, Hai, Jin, Shi, Zhao, Junhui, Qian, Gongbin
Format: Article
Language:English
Subjects:
Array signal processing
beam division multiple access (BDMA)
Beamforming
Channel estimation
closed-form
Computational geometry
Computer simulation
Convexity
Division
massive MIMO
MIMO (control systems)
MIMO communication
Network security
Optimization
Physical layer
physical layer security
Power management
Robust beamforming
Robustness
Security
Signal to noise ratio
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Summary:In this paper, we design robust beamforming to guarantee the physical layer security for a multiuser beam division multiple access (BDMA) massive multiple-input multiple-output (MIMO) system, when the channel estimation errors are taken into consideration. With the aid of artificial noise, the proposed design are formulated as minimizing the transmit power of the base station, while providing legal users and the eavesdropper with different signal-to-interference-plus-noise ratio. It is strictly proved that, under BDMA massive MIMO scheme, the initial non-convex optimization can be equivalently converted to a convex semi-definite programming problem and the optimal rank-one beamforming solutions can be guaranteed. In stead of directly resorting to the convex tool, we make one step further by deriving the optimal beamforming direction and the optimal beamforming power allocation in closed-form, which greatly reduces the computational complexity and makes the proposed design practical for real world applications. Simulation results are then provided to verify the efficiency of the proposed algorithm.
ISSN:0733-8716
1558-0008
DOI:10.1109/JSAC.2018.2824259