Secrecy-Optimized Resource Allocation for Device-to-Device Communication Underlaying Heterogeneous Networks

Zhang, Kecheng; Peng, Mugen; Zhang, Ping; Li, Xuelong

doi:10.1109/tvt.2016.2566298

Cited by 50 publications

(29 citation statements)

References 38 publications

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“…In [21], the authors consider the channel and power level selection problem for D2D pairs in HetNets under two scenarios where D2D pairs operate over the dedicated frequency band and the shared cellular channels, which is formulated as a noncooperative game among D2D pairs. Besides, the work in [22] investigates the resource allocation problem to maximize the system secure capacity for D2D communications underlaying HetNets where each subcarrier can be allocated to at most one user of the same type. On the contrary, the authors in [23] focus on the power allocation problem in multi-tier HetNets by employing a non-cooperative scheme to optimize the individual EE of each small cell BS and each D2D pair.…”

Section: A Related Workmentioning

confidence: 99%

“…The transformed problem (22) factors the tradeoff between the system EE and SE for CUs as well as strict QoS requirements of all D2D pairs and CUs. However, this problem is highly non-concave because of the integer variable ρ km and mutual interference not only among CUs and D2D pairs but also among D2D pairs sharing the same RB, which is NP-hard to find the global optimal RB allocation and power coordination solution.…”

Section: Joint Spectrum Allocation and Power Coordinationmentioning

confidence: 99%

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Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks

Hao

et al. 2018

IEEE Trans. Commun.

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In this paper, we concentrate on the robust multiobjective optimization (MOO) for the tradeoff between energy efficiency (EE) and spectral efficiency (SE) in device-to-device (D2D) communications underlaying heterogeneous networks (HetNets). Different from traditional resource optimization, we focus on finding robust Pareto optimal solutions for spectrum allocation and power coordination in D2D communications underlaying HetNets with the consideration of interference channel uncertainties. The problem is formulated as an uncertain MOO problem to maximize EE and SE of cellular users (CUs) simultaneously while guaranteeing the minimum rate requirements of both CUs and D2D pairs. With the aid of ε-constraint method and strict robustness, we propose a general framework to transform the uncertain MOO problem into a deterministic single-objective optimization problem. As exponential computational complexity is required to solve this highly non-convex problem, the power coordination and the spectrum allocation problems are solved separately, and an effective two-stage iterative algorithm is developed. Finally, simulation results validate that our proposed robust scheme converges fast and significantly outperforms the non-robust scheme in terms of the effective EE-SE tradeoff and the quality of service satisfying probability of D2D pairs.

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Section: A Related Workmentioning

confidence: 99%

Section: Joint Spectrum Allocation and Power Coordinationmentioning

confidence: 99%

Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks

Hao

et al. 2018

IEEE Trans. Commun.

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“…This brings up the challenges of high interference to conventional cellular user equipment (CUE) causing a performance degradation. This interference can be used to significantly enhance the link security of cellular networks [321], [322], [323]. Also, when generated by a friendly D2D jammer, it can be used to confuse the eavesdropper, allowing the D2D user to transmit frequently.…”

Section: E Device-to-device (D2d) Communicationmentioning

confidence: 99%

A Comprehensive Survey on Cooperative Relaying and Jamming Strategies for Physical Layer Security

Jameel

Wyne

Kaddoum

et al. 2019

IEEE Commun. Surv. Tutorials

229

106

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Physical layer security (PLS) has been extensively explored as an alternative to conventional cryptographic schemes for securing wireless links. Of late, the research community is actively working towards exploiting cooperative communication techniques to further improve the security. Many studies are showing that the cooperation between the legitimate nodes of a network can significantly enhance their secret communications, relative to the non-cooperative case. Motivated by the importance of this class of PLS systems, this paper provides a comprehensive survey of the recent works on cooperative relaying and jamming techniques for securing wireless transmissions against eavesdropping nodes which attempt to intercept the transmissions. First, it provides a in-depth overview of various secure relaying strategies and schemes. Next, a review of recently proposed solutions for cooperative jamming techniques has been provided with an emphasis on power allocation and beamforming techniques. Then, the latest developments in hybrid techniques, that use both cooperative relaying and jamming, are elaborated. Finally, several key challenges in the domain of cooperative security are presented along with an extensive discussion on the applications of cooperative security in key enablers for 5G communications, such as non-orthogonal multiple access (NOMA), device-to-device (D2D) communications, and massive multiple-input multipleoutput (MIMO) systems.

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“…For finite-length coding with discrete constellations, the optimization problem (24) using the fitting (18) becomes (27) and the Lagrange multiplier methods leads to (29).…”

Section: Finite-length Coding With Discrete Constellationmentioning

confidence: 99%

Resource allocation for secure Gaussian parallel relay channels with finite-length coding and discrete constellations

Senigagliesi

Baldi

Tomasin

2019

J Wireless Com Network

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We investigate the transmission of a secret message from Alice to Bob in the presence of an eavesdropper (Eve) and many of decode-and-forward relay nodes. Each link comprises a set of parallel channels, modeling for example an orthogonal frequency division multiplexing transmission. We consider the impact of discrete constellations and finite-length coding, defining an achievable secrecy rate under a constraint on the equivocation rate at Eve. Then we propose a power and channel allocation algorithm that maximizes the achievable secrecy rate by resorting to two coupled Gale-Shapley algorithms for stable matching problem. We consider the scenarios of both full and partial channel state information at Alice. In the latter case, we only guarantee an outage secrecy rate, i.e., the rate of a message that remains secret with a given probability. Numerical results are provided for Rayleigh fading channels in terms of average outage secrecy rate, showing that practical schemes achieve a performance quite close to that of ideal ones.

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Secrecy-Optimized Resource Allocation for Device-to-Device Communication Underlaying Heterogeneous Networks

Cited by 50 publications

References 38 publications

Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks

Robust Multi-Objective Optimization for EE-SE Tradeoff in D2D Communications Underlaying Heterogeneous Networks

A Comprehensive Survey on Cooperative Relaying and Jamming Strategies for Physical Layer Security

Resource allocation for secure Gaussian parallel relay channels with finite-length coding and discrete constellations

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