Spectrum Sharing for Device-to-Device Communication in Cellular Networks

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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“…where Pr(r d ) = Pr(r d < d) is the probability that any node meet the target hard-core distance d and is given by [36], [39] …”

Section: A Retention Probabilitymentioning

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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“…D2D communications in an LTE-A network with respect to limited interference to cellular traffic are studied in [14]. The decision whether to communicate directly or via the base station (mode selection), spectrum sharing, and power control are essential research targets [15,16].…”

Section: Related Workmentioning

confidence: 99%

Ad Hoc LTE Method for Resilient Smart Grid Communications

Markkula

Haapola

2017

Wireless Pers Commun

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LTE network is a good choice for delivering smart grid demand response (DR) traffic. However, LTE connectivity is not pervasively available due to smart meter improper positioning, limited of coverage, or base station software or hardware failures. In this paper, a solution is introduced to overcome issues relating to lack of LTE base station connectivity for user equipment (UE) considered as remote terminal units, i.e. communication interfaces connected to smart meters. The solution is an ad hoc mode for the LTEAdvanced UE. The ad hoc mode is applied to reach a relay node that is the nearest UE with base station connection. DR traffic is delivered between clusters of UEs and a relay node using multi-hop communications. Analytical Markov chain models and a Riverbed Modeler network simulation model are implemented to illustrate the functionalities and the performance when DR traffic is delivered with varying transmission power levels. A detailed physical layer propagation model for device-to-device communications, a static resource allocation in time domain, hybrid automatic repeat request retransmissions, and a capability for a UE to receive uplink transmissions are modeled both analytically and in the simulator. Both the disjoint analysis and simulations show that all packets are successfully transmitted at most with the fourth transmission attempt and the average network delay is low enough to support most of the smart grid DR applications (139.2-546.6 ms).

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“…To serve heavy traffic in future cellular networks, device-to-device (D2D) communication has been considered to alleviate the traffic burden on base stations (BSs) by exploiting physical proximity of devices [5]. There are two operating modes of D2D communications: underlay (sharing spectrum with cellular links) and overlay (orthogonal spectrum to cellular networks) [6]. In the underlay mode, the mutual interference between cellular tier and D2D tier should be considered.…”

Section: Introductionmentioning

confidence: 99%

An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

Shang

Zhao

Chen

et al. 2018

IEEE Trans. Wireless Commun.

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Abstract-Traffic offloading via device-to-device (D2D) communications has been proposed to alleviate the traffic burden on base stations (BSs) and to improve the spectral and energy efficiency of cellular networks. The success of D2D communications relies on the willingness of users to share contents. In this paper, we study the economic aspect of traffic offloading via content sharing among multiple devices and propose an incentive framework for D2D assisted offloading. In the proposed incentive framework, the operator improves its overall profit, defined as the network economic efficiency (ECE), by encouraging users to act as D2D transmitters (D2D-Txs) which broadcast their popular contents to nearby users. We analytically characterize D2D assisted offloading in cellular networks for two operating modes: 1) underlay mode and 2) overlay mode. We model the optimization of network ECE as a two-stage Stackelberg game, considering the densities of cellular users and D2D-Tx's, the operator's incentives and the popularity of contents. The closedform expressions of network ECE for both underlay and overlay modes of D2D communications are obtained. Numerical results show that the achievable network ECE of the proposed incentive D2D assisted offloading network can be significantly improved with respect to the conventional cellular networks where the D2D communications are disabled.

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Spectrum Sharing for Device-to-Device Communication in Cellular Networks

Cited by 416 publications

References 41 publications

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

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

Ad Hoc LTE Method for Resilient Smart Grid Communications

An Economic Aspect of Device-to-Device Assisted Offloading in Cellular Networks

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