Optimization of secrecy rate in cooperative device to device communications

Alibeigi, Maryam; Taherpour, Abbas; Gazor, Saeed

doi:10.1109/ccece.2017.7946656

Cited by 5 publications

(7 citation statements)

References 22 publications

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“…1. Like [27] we suppose that

D_{2}

is unaware of

D_{1}

message and has no interest in achieving such data neither.…”

Section: System Model and Assumptionsmentioning

confidence: 99%

“…On the other hand, the optimal cooperation level is not specified. To resolve this problem, we propose at first, to find the best RB to assign it to D2D communication and then obtain the optimum cooperative level [27]. The steps of the proposed approach are outlined in Algorithm 2 (see Fig.…”

Section: Optimisation Problem Formulation and Proposed Algorithmsmentioning

confidence: 99%

“…Remark : By using these software packages, it is possible to solve polynomial problems, but it is noticeable that GloptiPloy is used to find the maximum and the minimum of a polynomial and it cannot be used to find the roots of a polynomial in general. However, if we can minimise

v^{2} false(k false)

and also satisfy the constraints (20a), (20b) and (20c) so that

v^{2} false(k false) ≃ 0

, therefore this gives approximate roots of

v^{2} false(k false)

and since the roots of

v^{2} false(k false)

and the roots of

v false(k false)

are the same, the optimisation problem (20) can be solved [27]. The details of the solution are summarised in Algorithm 3 (Fig.…”

Section: Optimisation Problem Formulation and Proposed Algorithmsmentioning

confidence: 99%

“…The problem of the secure D2D communication is studied in [26] for different cooperation schemes. In [27], we studied a cooperative D2D communication and found the optimum cooperation level in order to maximise the secrecy rate in the presence of a passive eavesdropper in an isolated model. However, in wireless communications, it is not practical to assume that there are only a few users in the network.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we address the issue of physical layer security in a cooperative D2D communication underlaying cellular networks, where a passive third‐party node eavesdrops the D2D communication. Therefore, in this work, unlike [27] we do not consider D2D communications take place in an isolated system, but, we assume the model more practical in which D2D users coexist with CUs, and they reuse the same spectrum resources expoloited by the CUs. Furthermore, we assume that in cooperative D2D communication the device that acts as a relay also transmits its own message to the same receiver during the cooperation.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Optimisation of secrecy rate in cooperative device to device communications underlaying cellular networks

Alibeigi¹,

Taherpour²

2019

IET Communications

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“…1. Like [27] we suppose that

D_{2}

is unaware of

D_{1}

message and has no interest in achieving such data neither.…”

Section: System Model and Assumptionsmentioning

confidence: 99%

Section: Optimisation Problem Formulation and Proposed Algorithmsmentioning

confidence: 99%

v^{2} false(k false)

and also satisfy the constraints (20a), (20b) and (20c) so that

v^{2} false(k false) ≃ 0

, therefore this gives approximate roots of

v^{2} false(k false)

and since the roots of

v^{2} false(k false)

and the roots of

v false(k false)

are the same, the optimisation problem (20) can be solved [27]. The details of the solution are summarised in Algorithm 3 (Fig.…”

Section: Optimisation Problem Formulation and Proposed Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimisation of secrecy rate in cooperative device to device communications underlaying cellular networks

Alibeigi¹,

Taherpour²

2019

IET Communications

Self Cite

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Max–min fair robust beamforming design for underlay device‐to‐device communications in cellular networks

Alibeigi

Taherpour

Rahmani

2021

Int J Communication

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This paper investigates the robust downlink beamforming designs based on max-min fairness and base station (BS) power consumption constraint for device-to-device (D2D) communications underlaying cellular network, under the assumption of imperfect channel state information (CSI) at the BS. Our objective is to maximize the minimum signal-to-interference-plus-noise ratio (SINR) or non-outage probability of users while guaranteeing that the consumed power at the BS is less than a threshold. In particular, three max-min fairness scenarios are considered. In the first scenario, the worst-case SINR of cellular users (CUs) is maximized where the D2D SINR is guaranteed to be above a specified predetermined threshold. In the second scenario, we extend the first scenario and maximized D2D SINR while maximizing CUs' SINR. In these two scenarios, it is assumed that the errors are upper bounded in their Frobenius norms. In the third scenario, the minimum non-outage probability of users is maximized, while a probabilistic model is considered for the uncertainty of channel covariance matrices. Although such optimization problems are not convex, the semidefinite relaxation (SDR) approach is used to obtain the optimal beamforming matrix, which always complies the rank-one constraint. Simulation results show that significant improvement in terms of minimum SINR of CUs, the minimum non-outage probability of CUs, and the probability of feasibility and the fairness index can be achieved with our proposed algorithms in comparison with other beamforming schemes. K E Y W O R D Sdevice-to-device communications, imperfect channel state information, max-min fairness, robust beamforming

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Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey

Hamamreh

Furqan

Arslan

2019

IEEE Commun. Surv. Tutorials

572

296

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Optimization of secrecy rate in cooperative device to device communications

Cited by 5 publications

References 22 publications

Optimisation of secrecy rate in cooperative device to device communications underlaying cellular networks

Optimisation of secrecy rate in cooperative device to device communications underlaying cellular networks

Max–min fair robust beamforming design for underlay device‐to‐device communications in cellular networks

Classifications and Applications of Physical Layer Security Techniques for Confidentiality: A Comprehensive Survey

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