The Effect of Spatial Interference Correlation and Jamming on Secrecy in Cellular Networks

Ali, Konpal Shaukat; ElSawy, Hesham; Haenggi, Martin; Alouini, Mohamed‐Slim

doi:10.1109/lwc.2017.2711612

Cited by 21 publications

(19 citation statements)

References 10 publications

(10 reference statements)

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“…Remark 4 The expressions in Theorem 4.1 are still in intractable forms due to the function U n (δ) defined in (27). However, from the definition of ℓ(·), this function can be upper-bounded as follows (see (17) and (27)):…”

Section: Spatial Correlation Of Interferencementioning

confidence: 99%

Spatio-Temporal Correlation of Interference in MANET Under Spatially Correlated Shadowing Environment

Kimura

Saitō

2021

IEEE Trans. on Mobile Comput.

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Correlation of interference affects spatio-temporal aspects of various wireless mobile systems, such as retransmission, multiple antennas and cooperative relaying. In this paper, we study the spatial and temporal correlation of interference in mobile ad-hoc networks under a correlated shadowing environment. By modeling the node locations as a Poisson point process with an i.i.d. mobility model and considering Gudmundson (1991)'s spatially correlated shadowing model, we theoretically analyze the relationship between the correlation distance of log-normal shadowing and the spatial and temporal correlation coefficients of interference. Since the exact expressions of the correlation coefficients are intractable, we obtain their simple asymptotic expressions as the variance of log-normal shadowing increases. We found in our numerical examples that the asymptotic expansions can be used as tight approximate formulas and useful for modeling general wireless systems under spatially correlated shadowing.

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Section: Spatial Correlation Of Interferencementioning

confidence: 99%

Spatio-Temporal Correlation of Interference in MANET Under Spatially Correlated Shadowing Environment

Kimura

Saitō

2021

IEEE Trans. on Mobile Comput.

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“…Therefore a natural question to ask is whether placing the receiver close to the boundary, where the interference is less, can enhance PLS. Before looking at the impact of boundaries on the secrecy performance, let us consider the case, where the receiver and eavesdropper are deployed in the infinite plane (or in the bulk of the deployment area), and discuss the impact of interferer's intensity on the probability of secure connectivity, i.e., the joint event of successful decoding at the receiver and failure to decode at the eavesdropper [37], [38]. We assume a single receiver and eavesdropper at fixed and known locations in a homogeneous Poisson field of interferers.…”

Section: Motivation and List Of Contributionsmentioning

confidence: 99%

“…The impact of interference correlation on the probability of secure connectivity in infinite cellular systems has been recently studied in [38]. Over there it is shown that interference correlation plays a significant role in secrecy performance when the typical eavesdropper is located close to the typical user.…”

Section: Motivation and List Of Contributionsmentioning

confidence: 99%

Boundaries as an Enhancement Technique for Physical Layer Security

Koufos

Dettmann

2019

IEEE Trans.Inform.Forensic Secur.

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In this paper, we study the receiver performance with physical layer security in a Poisson field of interferers. We compare the performance in two deployment scenarios: (i) the receiver is located at the corner of a quadrant, (ii) the receiver is located in the infinite plane. When the channel state information (CSI) of the eavesdropper is not available at the transmitter, we calculate the probability of secure connectivity using the Wyner coding scheme, and we show that hiding the receiver at the corner is beneficial at high rates of the transmitted codewords and detrimental at low transmission rates. When the CSI is available, we show that the average secrecy capacity is higher when the receiver is located at the corner, even if the intensity of interferers in this case is four times higher than the intensity of interferers in the bulk. Therefore boundaries can also be used as a secrecy enhancement technique for high data rate applications.

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“…and v w [n] ∼ CN 0, σ 2 vw denote the aggregate received interferences, and z b [n] ∼ CN 0, σ 2 z b and z w [n] ∼ CN 0, σ 2 zw denote the AWGN. We note that v b [n] and v w [n] are usually correlated in practice due to the spatial correlation of the interferences [30][31][32][33], while the correlation between v b [n] and v w [n] does not affect the analysis and results in the paper. We denote the received signal power at Bob and Willie by P b = P a |h ab | 2 /d α ab and P w = P a |h aw | 2 /d α aw , respectively.…”

Section: System Modelmentioning

confidence: 99%

Covert Wireless Communication With a Poisson Field of Interferers

Yan

Zhou

et al. 2018

IEEE Trans. Wireless Commun.

116

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In this paper, we study covert communication in wireless networks consisting of a transmitter, Alice, an intended receiver, Bob, a warden, Willie, and a Poisson field of interferers. Bob and Willie are subject to uncertain shot noise due to the ambient signals from interferers in the network. With the aid of stochastic geometry, we analyze the throughput of the covert communication between Alice and Bob subject to given requirements on the covertness against Willie and the reliability of decoding at Bob. We consider non-fading and fading channels. We analytically obtain interesting findings on the impacts of the density and the transmit power of the concurrent interferers on the covert throughput.That is, the density and the transmit power of the interferers have no impact on the covert throughput as long as the network stays in the interference-limited regime, for both the non-fading and the fading cases. When the interference is sufficiently small and comparable with the receiver noise, the covert throughput increases as the density or the transmit power of the concurrent interferers increases. Index TermsPhysical layer security, covert wireless communication, stochastic geometry, signal processing.

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The Effect of Spatial Interference Correlation and Jamming on Secrecy in Cellular Networks

Cited by 21 publications

References 10 publications

Spatio-Temporal Correlation of Interference in MANET Under Spatially Correlated Shadowing Environment

Spatio-Temporal Correlation of Interference in MANET Under Spatially Correlated Shadowing Environment

Boundaries as an Enhancement Technique for Physical Layer Security

Covert Wireless Communication With a Poisson Field of Interferers

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