2020
DOI: 10.1109/tcomm.2019.2954517
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Secure Communication for Spatially Sparse Millimeter-Wave Massive MIMO Channels via Hybrid Precoding

Abstract: In this paper, we investigate secure communication over sparse millimeter-wave (mm-Wave) massive multiple-input multiple-output (MIMO) channels by exploiting the spatial sparsity of legitimate user's channel.We propose a secure communication scheme in which information data is precoded onto dominant angle components of the sparse channel through a limited number of radio-frequency (RF) chains, while artificial noise (AN) is broadcast over the remaining nondominant angles interfering only with the eavesdropper … Show more

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Cited by 43 publications
(19 citation statements)
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References 49 publications
(127 reference statements)
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“…In the following Theorem 2, we give a closed-form expression of the optimal transmit power maximizing the EE in (14). Theorem 2: The optimal transmit power to maximize the energy efficiency is the unique solution as…”
Section: Eementioning
confidence: 99%
See 1 more Smart Citation
“…In the following Theorem 2, we give a closed-form expression of the optimal transmit power maximizing the EE in (14). Theorem 2: The optimal transmit power to maximize the energy efficiency is the unique solution as…”
Section: Eementioning
confidence: 99%
“…|E[e jψ(m) ]|2 (e) = |E[cos ψ(m)]| 2 (f ) = sinc 2 (δ ψ ),(18)where (d) applies the Strong Law of Large Numbers and the Continuous Mapping Theorem[14] which indicates that the convergence preserves for continuous matrix functions, (e) uses the symmetry of the oddfunction sin ψ(m) for ψ(m) ∈ [−δ ψ , δ ψ ],(f ) is obtained by substituting the probability density function of variable ψ(m), i.e., f X (x) = 1 2δ ψ for x ∈ [−δ ψ , δ ψ ], and sinc(x) = sin x x . Similarly, for large N → ∞, ) and (19) into (17) completes the proof.…”
mentioning
confidence: 99%
“…Security can be provided in mmWave mMIMO wireless systems using channel sparsity where the data is precoded onto dominant angle components while artificial noise in broadcasted over non-dominant angles which interfere with eavesdropper's signals. The entropy of channel sparsity (is unknown to eavesdropper) defines secrecy rate and optimal levels of sparsity provides maximum secrete rate [50].…”
Section: Security Aspects In 5g and 6g Wireless Systemsmentioning
confidence: 99%
“…Xu et al. in [25] suggest a hybrid beamforming technique that transmits confidential data towards a legitimate user's dominant directions and an artificial noise signal towards all other directions using the statistical angular information. All the above‐mentioned works that rely on directional information have assumed that the BS is aware of the presence of the adversarial terminal, therefore, they do not discuss the detection of the adversary.…”
Section: Introductionmentioning
confidence: 99%