Secure Massive MIMO With the Artificial Noise-Aided Downlink Training

Nguyen, Nam-Phong; Ngo, Hien Quoc; Duong, Trung Q.; Tuan, Hoang Duong; Tourki, Kamel

doi:10.1109/jsac.2018.2825140

Cited by 60 publications

(25 citation statements)

References 25 publications

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“…is the gamma function, step (b) is based on the fact that ĥ m has a scaled Chi distribution with 2N t degrees of freedom by a factor of 1 √ 2 [27]. Therefore, E ĥ m = Γ(Nt+ 1 2 ) Γ(Nt) , and step (c) is obtained by using the approximation…”

Section: A Ergodic Secrecy Ratementioning

confidence: 99%

“…The inter-user interference was utilized to enhance the secrecy performance of the network. Artificial noise (AN) has proven its effectiveness to secure the legitimate side from malicious attempts [26], [27]. Recently, in [28], the authors have proposed a joint alignment of multi-user constellations and AN to secure the massive MIMO-NOMA networks.…”

Section: Introductionmentioning

confidence: 99%

“…This assumption is reasonable since it has been proven that at a sufficiently high transmit power, the error of the channel estimation process at the receiver is sufficiently small and can be neglected[27].…”

mentioning

confidence: 99%

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Securing Downlink Massive MIMO-NOMA Networks With Artificial Noise

Zeng

Nguyen

Dobre

et al. 2019

IEEE J. Sel. Top. Signal Process.

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In this paper, we focus on securing the confidential information of massive multiple-input multipleoutput (MIMO) non-orthogonal multiple access (NOMA) networks by exploiting artificial noise (AN).An uplink training scheme is first proposed with minimum mean squared error estimation at the base station. Based on the estimated channel state information, the base station precodes the confidential information and injects the AN. Following this, the ergodic secrecy rate is derived for downlink transmission. An asymptotic secrecy performance analysis is also carried out for a large number of transmit antennas and high transmit power at the base station, respectively, to highlight the effects of key parameters on the secrecy performance of the considered system. Based on the derived ergodic secrecy rate, we propose the joint power allocation of the uplink training phase and downlink transmission phase to maximize the sum secrecy rates of the system. Besides, from the perspective of security, another optimization algorithm is proposed to maximize the energy efficiency. The results show that the combination of massive MIMO technique and AN greatly benefits NOMA networks in term of the secrecy performance. In addition, the effects of the uplink training phase and clustering process on the secrecy performance are revealed. Besides, the proposed optimization algorithms are compared with other baseline algorithms through simulations, and their superiority is validated. Finally, it is shown that the proposed system outperforms the conventional massive MIMO orthogonal multiple access in terms of the secrecy performance.

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Section: A Ergodic Secrecy Ratementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Securing Downlink Massive MIMO-NOMA Networks With Artificial Noise

Zeng

Nguyen

Dobre

et al. 2019

IEEE J. Sel. Top. Signal Process.

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“…The AN jamming can be deployed in the downlink transmission phase to provide direct power transfer and to degrade the information signal quality at the EHs [9]. In [12], the use of AN is extended for both the downlink training and payload data transmission phases to further degrade the eavesdropping capabilities of the information EV. The authors in [13] considered joint enhancement of the secrecy and power transfer in the presence of an active dualantenna information-untrusted EH.…”

Section: Introductionmentioning

confidence: 99%

Optimal Downlink Transmission for Cell-Free SWIPT Massive MIMO Systems With Active Eavesdropping

Alageli

Ikhlef

Alsifiany

et al. 2020

IEEE Trans.Inform.Forensic Secur.

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This paper considers secure simultaneous wireless information and power transfer (SWIPT) in cell-free massive multiple-input multiple-output (MIMO) systems. The system consists of a large number of randomly (Poisson-distributed) located access points (APs) serving multiple information users (IUs) and an information-untrusted dual-antenna active energy harvester (EH). The active EH uses one antenna to legitimately harvest energy and the other antenna to eavesdrop information. The APs are networked by a centralized infinite backhaul which allows the APs to synchronize and cooperate via a central processing unit (CPU). Closed-form expressions for the average harvested energy (AHE) and a tight lower bound on the ergodic secrecy rate (ESR) are derived. The obtained lower bound on the ESR takes into account the IUs' knowledge attained by downlink effective precoded-channel training. Since the transmit power constraint is per AP, the ESR is nonlinear in terms of the transmit power elements of the APs and that imposes new challenges in formulating a convex power control problem for the downlink transmission. To deal with these nonlinearities, a new method of balancing the transmit power among the APs via relaxed semidefinite programming (SDP) which is proved to be rank-one globally optimal is derived. A fair comparison between the proposed cell-free and the colocated massive MIMO systems shows that the cell-free MIMO outperforms the colocated MIMO over the interval in which the AHE constraint is low and vice versa. Also, the cell-free MIMO is found to be more immune to the increase in the active eavesdropping power than the colocated MIMO.

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“…Most studies on physical layer security in massive MIMO systems assume that the eavesdropper is passive and does not attack the communication process of the system [19][20][21][22][23]. However, a smart eavesdropper can perform a pilot contamination attack to impair the channel estimation process at the base station [24].…”

Section: Introductionmentioning

confidence: 99%

Data-Aided Secure Massive MIMO Transmission Under the Pilot Contamination Attack

Wen

Chen

et al. 2019

IEEE Trans. Commun.

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In this paper, we study the design of secure communication for time division duplex multi-cell multi-user massive multiple-input multiple-output (MIMO) systems with active eavesdropping. We assume that the eavesdropper actively attacks the uplink pilot transmission and the uplink data transmission before eavesdropping the downlink data transmission of the users. We exploit both the received pilots and the received data signals for uplink channel estimation. We show analytically that when the number of transmit antennas and the length of the data vector both tend to infinity, the signals of the desired user and the eavesdropper lie in different eigenspaces of the received signal matrix at the base station provided that their signal powers are different. This finding reveals that decreasing (instead of increasing) the desired user's signal power might be an effective approach to combat a strong active attack from an eavesdropper. Inspired by this observation, we propose a data-aided secure downlink transmission scheme and derive an asymptotic achievable secrecy sum-rate expression for the proposed design. For the special case of a single-cell singleuser system with independent and identically distributed fading, the obtained expression reveals that the secrecy rate scales logarithmically with the number of transmit antennas. This is the same scaling law as for the achievable rate of a singleuser massive MIMO system in the absence of eavesdroppers. Numerical results indicate that the proposed scheme achieves significant secrecy rate gains compared to alternative approaches based on matched filter precoding with artificial noise generation and null space transmission.

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Secure Massive MIMO With the Artificial Noise-Aided Downlink Training

Cited by 60 publications

References 25 publications

Securing Downlink Massive MIMO-NOMA Networks With Artificial Noise

Securing Downlink Massive MIMO-NOMA Networks With Artificial Noise

Optimal Downlink Transmission for Cell-Free SWIPT Massive MIMO Systems With Active Eavesdropping

Data-Aided Secure Massive MIMO Transmission Under the Pilot Contamination Attack

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