Masked Beamforming for Multiuser MIMO Wiretap Channels with Imperfect CSI

Pei, Minyan; Wei, Jibo; Wong, Kai-Kit; Wang, Xin

doi:10.1109/twc.2011.120511.110567

Cited by 93 publications

(73 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, we assume that the eavesdropper's CSI is not available at the local BS. Hence, assuming that there are K < N t MTs, the BS may use the remaining N t − K degrees of freedom offered by the N t transmit antennas for emission of AN to degrade the eavesdropper's ability to decode the data intended for the MTs [8], [9], [11].…”

Section: Downlink Data Transmissionmentioning

confidence: 99%

“…Eavesdroppers are typically passive so as to hide their existence, and thus their channel state information (CSI) cannot be obtained by Alice [8]. In this case, multiple transmit antennas can be exploited to enhance secrecy by simultaneously transmitting both the information-bearing signal and artificial noise (AN) [9].…”

mentioning

confidence: 99%

“…Specifically, precoding is used to make the AN invisible to Bob while degrading the decoding performance of possibly present Eves [8]- [11]. For the case of imperfect channel estimation, robust beamforming designs were reported in [8], [11].…”

mentioning

confidence: 99%

“…For the case of imperfect channel estimation, robust beamforming designs were reported in [8], [11].…”

mentioning

confidence: 99%

See 3 more Smart Citations

Secure Transmission in Multicell Massive MIMO Systems

Zhu

Schober

Bhargava

2014

IEEE Trans. Wireless Commun.

307

304

View full text Add to dashboard Cite

In this paper, we consider physical layer security provisioning in multi-cell massive multiple-input multiple-output (MIMO) systems. Specifically, we consider secure downlink transmission in a multi-cell massive MIMO system with matched-filter precoding and artificial noise (AN) generation at the base station (BS) in the presence of a passive multiantenna eavesdropper. We investigate the resulting achievable ergodic secrecy rate and the secrecy outage probability for the cases of perfect training and pilot contamination. Thereby, we consider two different AN shaping matrices, namely, the conventional AN shaping matrix, where the AN is transmitted in the null space of the matrix formed by all user channels, and a random AN shaping matrix, which avoids the complexity associated with finding the null space of a large matrix. Our analytical and numerical results reveal that in multi-cell massive MIMO systems employing matched-filter precoding (1) AN generation is required to achieve a positive ergodic secrecy rate if the user and the eavesdropper experience the same path-loss, (2) even with AN generation secure transmission may not be possible if the number of eavesdropper antennas is too large and not enough power is allocated to channel estimation, (3) for a given fraction of power allocated to AN and a given number of users, in case of pilot contamination, the ergodic secrecy rate is not a monotonically increasing function of the number of BS antennas, and (4) random AN shaping matrices provide a favourable performance/complexity tradeoff and are an attractive alternative to conventional AN shaping matrices. Index TermsPhysical layer security, massive MIMO, multi-cell systems, ergodic secrecy rate, and pilot contamination.

show abstract

Section: Downlink Data Transmissionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

“…For the case of imperfect channel estimation, robust beamforming designs were reported in [8], [11].…”

mentioning

confidence: 99%

See 2 more Smart Citations

Secure Transmission in Multicell Massive MIMO Systems

Zhu

Schober

Bhargava

2014

IEEE Trans. Wireless Commun.

307

304

View full text Add to dashboard Cite

show abstract

“…In [23], the secrecy rate over MU-MIMO broadcasting channels was well studied. In [24], a robust beamforming scheme for MU-MIMO downlink networks was proposed by using a Bayesian approach. In MU-MIMO systems, interuser interference is a pivotal factor affecting the overall performance.…”

Section: A Related Workmentioning

confidence: 99%

Mode Selection in MU-MIMO Downlink Networks: A Physical-Layer Security Perspective

Chen

2017

IEEE Systems Journal

View full text Add to dashboard Cite

Abstract-In this paper, we consider a homogenous multiantenna downlink network where a passive eavesdropper intends to intercept the communication between a base station (BS) and multiple secure users (SU) over Rayleigh fading channels. In order to guarantee the security of information transfer, physical layer security is employed accordingly. For such a multiple user (MU) secure network, the number of accessing SUs, namely transmission mode, has a great impact on the secrecy performance. Specifically, on the one hand, a large number of accessing SUs will arise high inter-user interference at SUs, resulting in a reduction of the capacity of the legitimate channel. On the other hand, high inter-user interference will interfere with the eavesdropper and thus degrades the performance of the eavesdropper channel. Generally speaking, the harmful interuser interference may be transformed as a useful tool of antieavesdropping. The focus of this paper is on selecting the optimal transmission mode according to channel conditions and system parameters, so as to maximize the sum secrecy outage capacity. Moreover, through asymptotic analysis, we present several simple mode selection schemes in some extreme cases. Finally, simulation results validate the effectiveness of the proposed mode selection schemes in MU secure communications.Index Terms-Physical layer security, secrecy outage capacity, mode selection, asymptotic analysis.

show abstract

Ergodic secrecy rate of two-user MISO interference channels with statistical CSI

Fei

Zhao

et al. 2014

Sci. China Inf. Sci.

View full text Add to dashboard Cite

This paper considers a two-user multiple-input single-output (MISO) interference channel with confidential messages (IFC-CM), where the beamforming vectors at the two transmitters are jointly optimized using the closed-form Pareto-optimal parameterization. We prove that artificial noise cannot improve the secrecy rate performance, and coordinated beamforming is secrecy-rate optimal which is achieved by agreeing on the parameters between the two transmitters. We analyze the feasible set of the beamforming parameters that guarantees positiveness of the secrecy rates when the transmitters know only statistical CSI, and then analysis in the ergodic secrecy rate region is discussed. More importantly, we derive the closed form of the ergodic secrecy rates and illustrate the Pareto-optimal structure of the beamforming vectors.

show abstract

Masked Beamforming for Multiuser MIMO Wiretap Channels with Imperfect CSI

Cited by 93 publications

References 11 publications

Secure Transmission in Multicell Massive MIMO Systems

Secure Transmission in Multicell Massive MIMO Systems

Mode Selection in MU-MIMO Downlink Networks: A Physical-Layer Security Perspective

Ergodic secrecy rate of two-user MISO interference channels with statistical CSI

Contact Info

Product

Resources

About