Robust Beamforming for Physical Layer Security in BDMA Massive MIMO
Fengchao Zhu, Feifei Gao, Hai Lin, Shi Jin, and Junhui Zhao

TL;DR
This paper proposes a robust beamforming method for BDMA massive MIMO systems that enhances physical layer security by minimizing transmit power while ensuring SINR requirements, even with channel estimation errors.
Contribution
It introduces a convex SDP formulation and derives closed-form solutions for beamforming direction and power allocation, reducing computational complexity.
Findings
The proposed method guarantees secure communication against eavesdroppers.
The SDP formulation ensures optimal rank-one beamforming solutions.
Simulation results confirm the efficiency and practicality of the algorithm.
Abstract
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 (AN), the proposed design are formulated as minimizing the transmit power of the base station (BS), while providing legal users and the eavesdropper (Eve) with different signal-to-interference-plus-noise ratio (SINR). 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 (SDP) 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…
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Taxonomy
TopicsAdvanced MIMO Systems Optimization · Antenna Design and Analysis · Wireless Communication Security Techniques
