Interference Exploitation in D2D-enabled Cellular Networks: A Secrecy Perspective

Ma, Chuan; Liu, Jiaqi; Tian, Xiaohua; Yu, Hongyi; Cui, Ying; Wang, Xinbing

doi:10.1109/tcomm.2014.2379633

Cited by 132 publications

(84 citation statements)

References 26 publications

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“…More particularly, the authors in [13] designed two optimal D2D linkscheduling schemes under different criteria when each base station has a single antenna. When a base station is equipped with multi-antenna, the space redundancy could be exploited to enhance secure communication for the cellular link through some designed schemes, such as the secure beamforming and artificial noise assisted scheme.…”

Section: Introductionmentioning

confidence: 99%

Artificial noise-assisted physical layer security in D2D-enabled cellular networks

Chen

Huang

et al. 2017

J Wireless Com Network

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Device-to-device (D2D) communication has been deemed as a promising technology in the next generation 5G wireless communication. Due to the openness nature of the transmission medium, secure transmission is also a critical issue in the D2D-enabled cellular network as well as other wireless systems. In this paper, we investigate secure communication for the cellular downlink in this hybrid network. We consider a case in which each base station has no channel state information (CSI) from D2D transmitters which are generally deployed in the cell edge. To guarantee the secure communication of the cellular link, each base station employs the artificial noise assisted transmission strategy. Firstly, we derive the close-form expression and asymptotic expression of the secrecy outage probability of the cellular link in different scenarios: (I) eavesdroppers having no multi-user decedability; (II) eavesdroppers having the multi-user decedability. Then, we comprehensively discuss the impacts of some main system parameters on the performance to provide some system design guidances. To characterize the reliable communication of the typical D2D link, the close-form expression and asymptotic expression of the connection outage probability are, respectively, derived and some comprehensive analysis are presented. Finally, simulation results are provided to validate the effectiveness of theoretical analysis.

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Section: Introductionmentioning

confidence: 99%

Artificial noise-assisted physical layer security in D2D-enabled cellular networks

Chen

Huang

et al. 2017

J Wireless Com Network

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“…In [16], the cell association and location information of mobile users play an important role in secrecy performance in multi-cell environments. It was shown in [17] that the interference from D2D transmission can enhance physical layer security of cellular communications. In [18], the robust transmitter design via optimization for secure cognitive radio networks was addressed.…”

Section: A Related Workmentioning

confidence: 99%

“…2 plots the power outage probability versus density of PBs with different M . The black, red, and blue curves, representing the CPB, BPB, and NPB policies are obtained from (9), (17), and (27), respectively. Several observations are drawn as follows: 1) the power outage probability significantly decreases with increasing density of PBs, this is because multiuser diversity gain is improved with increasing number of PBs; 2) for small M , there is a gap between BPB and NPB as λ p approaches 10 −1 , however, for large M , they achieve identical performance, the reason is, once again, the effect of small scale fading is averaged out with large M ; and 3) CPB achieves lower power outage probability than BPB and NPB, since it transfers more power from PBs to D2D transmitter.…”

Section: A Network Parametersmentioning

confidence: 99%

Secure D2D Communication in Large-Scale Cognitive Cellular Networks: A Wireless Power Transfer Model

Liu

Wang

Zaidi

et al. 2016

IEEE Trans. Commun.

213

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Abstract-In this paper, we investigate secure device-to-device (D2D) communication in energy harvesting large-scale cognitive cellular networks. The energy constrained D2D transmitter harvests energy from multi-antenna equipped power beacons (PBs), and communicates with the corresponding receiver using the spectrum of the primary base stations (BSs). We introduce a power transfer model and an information signal model to enable wireless energy harvesting and secure information transmission. In the power transfer model, three wireless power transfer (WPT) policies are proposed: 1) cooperative power beacons (CPB) power transfer, 2) best power beacon (BPB) power transfer, and 3) nearest power beacon (NPB) power transfer. To characterize the power transfer reliability of the proposed three policies, we derive new expressions for the exact power outage probability. Moreover, the analysis of the power outage probability is extended to the case when PBs are equipped with large antenna arrays. In the information signal model, we present a new comparative framework with two receiver selection schemes: 1) best receiver selection (BRS), where the receiver with the strongest channel is selected, and 2) nearest receiver selection (NRS), where the nearest receiver is selected. To assess the secrecy performance, we derive new analytical expressions for the secrecy outage probability and the secrecy throughput considering the two receiver selection schemes using the proposed WPT policies. We presented Monte-carlo simulation results to corroborate our analysis and show: 1) secrecy performance improves with increasing densities of PBs and D2D receivers due to larger multiuser diversity gain, 2) CPB achieves better secrecy performance than BPB and NPB but consumes more power, and 3) BRS achieves better secrecy performance than NRS but demands more instantaneous feedback and overhead. A pivotal conclusion is reached that with increasing number of antennas at PBs, NPB offers a comparable secrecy performance to that of BPB but with a lower complexity.

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“…Consequently, intrinsic physical layer secrecy becomes one of the major research topics in random wireless networks and much work has been done in analysing the secrecy performance. However, we would like to point out that a little attention is paid in evaluating the achievable secrecy capacities from 5G perspective [13]- [15]. Hence, it is imperative to devise general framework to evaluate the secrecy capacity taking the wireless propagation characteristics into account.…”

Section: Introductionmentioning

confidence: 99%

“…However, considering security and privacy issues, the intra-cell interference can be exploited in such a way that the cellular network benefits from it. For instance, the work in [13] exploits interference from D2D transmitters, and [26] assumed the D2D users to play the role of cooperative jammers to improve the secrecy capacity of the cellular network.…”

Section: Introductionmentioning

confidence: 99%

On the Uplink Secrecy Capacity Analysis in D2D-Enabled Cellular Network

Tolossa

Vuppala

Kaddoum

et al. 2018

IEEE Systems Journal

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Abstract-Recent research prove that device-to-device (D2D) communications offer substantial gain through enhancing throughput and spectral efficiency as well as widening coverage area of cellular network. However, from security perspective, performance of such network has not been well investigated. With this motive and inspired by stochastic geometry approach, we provide secrecy rate analysis for D2D-enabled cellular network under Rayleigh fading channels. The minimum distance among mobile users is used to characterise the retention probability and hence, density of D2D nodes. Moreover, a fraction of the total transmitted power from D2D nodes is allocated to radiate artificial noise (AN) to degrade the eavesdroppers channel. Under such conditions, the closed-form expressions for the probability of achieving non-zero secrecy capacity for the uplink channel between user-equipment and cellular base-station in the presence of D2D nodes and eavesdropper(s). Throughout the paper, we consider the following eavesdropping strategies: (a) a single eavesdropper case; (b) multiple eavesdroppers that can cooperatively cancel the interference; (c) multiple cooperative eavesdroppers that can cooperatively cancel both the interference and AN; and (d) the case of cooperative colluding eavesdroppers. The derived expressions are validated via simulation as a function of antenna gain, eavesdropper density, D2D hard-core distance and D2D node density.

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Interference Exploitation in D2D-enabled Cellular Networks: A Secrecy Perspective

Cited by 132 publications

References 26 publications

Artificial noise-assisted physical layer security in D2D-enabled cellular networks

Artificial noise-assisted physical layer security in D2D-enabled cellular networks

Secure D2D Communication in Large-Scale Cognitive Cellular Networks: A Wireless Power Transfer Model

On the Uplink Secrecy Capacity Analysis in D2D-Enabled Cellular Network

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