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Wireless Networks

Secure transmission and power allocation in multiuser distributed massive MIMO systems

Xianyu Zhang, Daoxing Guo, Kang An, Wenfeng Ma, Kefeng Guo

Published Sep 25, 2018• 16 citations
Publisher
DOI
10.1007/s11276-018-1840-y

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In this paper, we focus on antieavesdropping design in a multicell multiuser interference channel coexisting with a multiantenna eavesdropper, in which multiuser interference arises as a nonneglectable factor in securing communication. Supposing the eavesdropper is equipped with an arbitrary number of antennas, we jointly exploit the role of inherent multiuser interference and artificial noise (AN) to enhance security, and propose a noniterative secure transceiver design under a multiple input multiple output (MIMO) framework. The quantity relationship of system parameters is then analyzed to ensure feasibility. And the achievable secrecy rate is then derived without any knowledge of the eavesdropper. Finally, to balance the power allocated to AN and secrecy data, a power allocation strategy aiming at maximizing the achievable secrecy rate is designed, while guaranteeing legitimate users the required quality of service. With the adopted design, both the multiuser interference and AN are leveraged to facilitate communication security such that the proposed secure transceiver design can adapt to changes in eavesdropping antennas. Extensive numerical results have verified our analysis and demonstrated that the proposed power allocation strategy outperforms the baseline algorithms in terms of the achievable secrecy rate.
We consider in this paper the physical layer security in multi-user massive multiple-input multiple-output (MU-Massive-MIMO) system, where an eavesdropper (Eve) is assumed to be able to intercept the information intended to any of the users. Distributed antenna sets, commonly known as remote radio heads (RRHs), are deployed at the base station, which enables autonomous power allocation between the information signal and artificial noise (AN) at each antenna set. Assuming a large number of antennas at each RRH and cooperative downlink maximum-ratio transmission beamforming, we first derive the closed-form deterministic equivalents of post-processing signal to interference-plus-noise ratio (SINR) of users and Eve in both the centralized and autonomous full transmission schemes. Then, we maximize the minimum user SINR over the signal and AN powers subject to the sum power and Eve SINR constraints. The optimization in the former scheme leads to a linear programming problem, while the latter results in a complementary geometric programming (GP), which has to be transformed into an ordinary GP problem in order to be solved efficiently. Numerical results demonstrate the significance of deploying the RRHs as well as autonomous power allocation to improve the user SINR along with the secure communication with QoS guarantee in MU-Massive-MIMO.