Secure Transmission in Downlink Cellular Network with a Cooperative Jammer

Jeong, Shinkyu; Lee, Keonkook; Huh, Heon; Kang, Joonhyuk

doi:10.1109/wcl.2013.052813.130272

Cited by 9 publications

(5 citation statements)

References 14 publications

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“…2) Security-aware XR Communications: The wireless medium employed in XR data transmission is vulnerable to malicious attacks, necessitating the implementation of robust security protocols. Studies, such as [6], [18][19][20], have specifically addressed internal eavesdropping protection by PLS techniques in cellular networks supporting XR services. In particular, [18] investigated secure transmission strategies in multi-cellular multi-user systems and derived asymptotically achievable secrecy rates.…”

Section: A Backgroundmentioning

confidence: 99%

See 1 more Smart Citation

Cross-Layer Management Framework for Enhancing XR-Based System Security in Zero-Trust Wireless Communications

Ghourab,

Azab,

Gračanin

et al. 2024

Preprint

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Section: A Backgroundmentioning

confidence: 99%

“…Moreover, from (20), it is evident that both the resource allocation and the selected relay collectively determine the transmission delay for each XR user. Consequently, in (P1), resource allocation and user association are interdependent, preventing the separation of the optimization problem into distinct subproblems.…”

Section: Problem Formulationmentioning

confidence: 99%

Cross-Layer Management Framework for Enhancing XR-Based System Security in Zero-Trust Wireless Communications

Ghourab,

Azab,

Gračanin

et al. 2024

Preprint

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show abstract

“…By substituting S ⋆1 into the constraints and the objective function of problem (13), it can be verified that S ⋆1 satisfies all the constraints (13a)-(13e) and achieves the same sum secrecy rate as S ⋆1 does. This concludes the proof.…”

Section: ⋆1mentioning

confidence: 99%

Optimization for Maximizing Sum Secrecy Rate in MU-MISO SWIPT Systems

Alageli

Ikhlef

Chambers

2018

IEEE Trans. Veh. Technol.

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In this paper, we consider the sum secrecy rate maximization problem in multiuser multiple-input single-output (MU-MISO) systems in the presence of multiple energy harvesters (EHs) which also have potential to wire-tap the information users (IUs). To facilitate delivering secure information to the IUs and increase the total harvested energy by the EHs simultaneously, we optimise the transmit beamforming vectors to direct the information signals toward the IUs and artificial noise (AN) toward the EHs. We assume that each EH relies on itself to decode the information signal intended for an individual IU. Therefore, the corresponding problem is to maximize the worst-case sum secrecy rate under transmit power and energy harvesting constraints. The problem is optimally solved by transforming it into a convex iterative program using a change of variables, semi-definite relaxation (SDR) and linearization of quadratic terms. We prove that rank-one optimal solutions for the IUs beamforming covariance matrices can be obtained from the optimal relaxed unconstrained solution. Also, we provide three sub-optimal solutions based on null space projection and power control of the beamforming vectors for the low and high harvested energy constrained regions. A special case of cooperative EHs in which the EHs can collaboratively cancel the signal of all IUs except the one they intend to eavesdrop is also investigated, and the optimal solution is derived in a comparable way as in non-cooperative EHs case. Our simulation results reveal an understanding of how the trade-off between the AN and information signal can jointly improve both the sum secrecy rate and the total harvested energy. We also show that, within the low total harvested energy region, the sub-optimal solution in which the AN is projected in the null space of the IUs channels outperforms the sub-optimal solution which ignores AN alignment at the IUs, and vice versa over the high total harvested energy region; and that the suboptimal solution that combines both of them achieves close to optimal performance.

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“…With secrecy consideration, these spectrum-sharing users may also include some unfriendly ones who intend to overhear the secret message when they are not scheduled. Previous literature mainly focused on the worst scenario, in which all of the unscheduled users were seen as the eavesdroppers [6] or just treated them as the hostiles outside the network [7] such that the statistics were independent of the main channel. However, the secrecy outage probability, which is a useful metric to measure secrecy performance without needing exact CSI knowledge [1], has not been evaluated in the presence of an arbitrary number of eavesdropping users inside the network.…”

mentioning

confidence: 99%

Secrecy outage analysis of MU‐MIMO transmit antenna selection systems with arbitrary number of eavesdropping users

Tao

2015

Electron. lett.

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The secrecy outage performance of multiuser multiple-input-multipleoutput (MU-MIMO) transmit antenna selection systems is analysed, where some of the users overhear transmissions as long as they are not scheduled currently. A general closed-form expression of secrecy outage probability is derived by ordering the qualities of paths and calculating the joint probability density functions. Numerical results are provided to illustrate the different impacts of multiuser diversity and antenna diversity on the secrecy performance.Introduction: The emerging threat of security problems and the rapid advance of wireless technologies have sparked an increasing interest in the issue of physical layer security. Unlike conventional cryptography, the information-theoretic secrecy focuses on exploiting the potential of rate difference between channels to prevent information leakage even if the eavesdroppers have strong computation capabilities [1]. Multiple-antenna systems offer key advantages to combat eavesdropping but bring about challenges of tracking exact channel state information (CSI) at the transmitter's side [2]. As a simple alternative, transmit antenna selection (TAS) has been proposed to capture the advantages of antennas while keeping low-complexity and small-feedback rate [3,4]. It has been demonstrated that the secrecy diversity order is the product of the transmit antenna number, the receive antenna number and the fading parameter of the main channel. On the other hand, the users distributed in the network can also be viewed as equivalent virtual antennas [5]. With secrecy consideration, these spectrum-sharing users may also include some unfriendly ones who intend to overhear the secret message when they are not scheduled. Previous literature mainly focused on the worst scenario, in which all of the unscheduled users were seen as the eavesdroppers [6] or just treated them as the hostiles outside the network [7] such that the statistics were independent of the main channel. However, the secrecy outage probability, which is a useful metric to measure secrecy performance without needing exact CSI knowledge [1], has not been evaluated in the presence of an arbitrary number of eavesdropping users inside the network.In this Letter, we develop a framework to obtain a general closed-form expression of secrecy outage probability in a multiuser multiple-inputmultiple-output (MU-MIMO) TAS system. The joint probability density functions (PDFs) of the ordered signal-to-noise ratios (SNRs) and the weighting coefficients are given to derive the secrecy outage as a weighted sum. Numerical results show the validity of the theoretical analysis and reveal the secrecy impact of selection diversities.

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Secure Transmission in Downlink Cellular Network with a Cooperative Jammer

Cited by 9 publications

References 14 publications

Cross-Layer Management Framework for Enhancing XR-Based System Security in Zero-Trust Wireless Communications

Cross-Layer Management Framework for Enhancing XR-Based System Security in Zero-Trust Wireless Communications

Optimization for Maximizing Sum Secrecy Rate in MU-MISO SWIPT Systems

Secrecy outage analysis of MU‐MIMO transmit antenna selection systems with arbitrary number of eavesdropping users

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