The Capacity of Device-to-Device Communication Underlaying Cellular Networks With Relay Links

Fan, Lilin; Dong, Zhengnan; Yuan, Peiyan

doi:10.1109/access.2017.2743778

Cited by 20 publications

(14 citation statements)

References 15 publications

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“…In the second scheme, we cache content in a D2D group where the D2D group consists of multiple mobile UTs that can communicate with each other through D2D links [21]. There will be many D2D groups in a cell when the nodes in the network are dense enough, to ensure that the nodes can communicate with their neighbors through D2D links with high probabilities.…”

Section: Cache Contents In the D2d Groupmentioning

confidence: 99%

Influence of Crowd Participation Features on Mobile Edge Computing

Yuan¹,

Pang²,

Zhao³

2018

Future Internet

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Mobile edge computing is a new communication paradigm, which stores content close to the end users, so as to reduce the backhaul delay and alleviate the traffic load of the backbone networks. Crowd participation is one of the most striking features of this technology, and it enables numerous interesting applications. The dynamics of crowd participation offer unprecedented opportunities for both content caching and data forwarding. In this paper, we investigate the influence of the dynamics of crowd participation, from the perspective of opportunistic caching and forwarding, and discuss how we can exploit such opportunities to allocate content and select relays efficiently. Some existing issues in this emerging research area are also discussed.

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Section: Cache Contents In the D2d Groupmentioning

confidence: 99%

Influence of Crowd Participation Features on Mobile Edge Computing

Yuan¹,

Pang²,

Zhao³

2018

Future Internet

Self Cite

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“…is a convex function of α mn . Therefore, the optimal power allocation coefficient of α * mn may be calculated by solving the KKT conditions [44], as shown in Equation (18).…”

Section: Dt N 'S Strategy In Stage I Imentioning

confidence: 99%

“…In order to prove the Proposition 1, τ * mn is replaced with τ, α * mn is replaced with α, U EU mn is replaced with U EU and U D2D mn is replaced with U D2D . Given the optimal power allocation coefficient of DT which is derived by Equation (18) in the stage I I of the Stackelberg game, the EU's optimal time allocation coefficient, namely τ may be calculated in terms of Equations (19)- (23). Hence, the KKT conditions of Equations (19)-(23), may be expressed as follows:…”

Section: Appendix Amentioning

confidence: 99%

A Reciprocal-Selection-Based ‘Win–Win’ Overlay Spectrum-Sharing Scheme for Device-to-Device-Enabled Cellular Network

Shu

Jiao

2018

Algorithms

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This paper proposes a reciprocal-selection-based ‘Win–Win’ overlay spectrum-sharing scheme for device-to-Device-enabled cellular networks to address the resource sharing between Device-to-Device devices and the cellular users by using an overlay approach. Based on the proposed scheme, the cell edge users intend to lease part of its spectrum resource to Device-to-Device transmission pairs. However, the Device-to-Device users have to provide the cooperative transmission assistance for the cell edge users in order to improve the Quality of Service of the uplink transmission from the cell edge users to the base station. Compared to the underlay spectrum-sharing scheme, overlay spectrum-sharing scheme may reduce spectrum efficiency. Hence, Non-Orthogonal Multiple Access technology is invoked at the Device-to-Device transmitter in order to improve the spectrum efficiency. The Stackelberg game is exploited to model the behaviours of the cell edge users and Device-to-Device devices. Moreover, based on matching theory, the cell edge users and Device-to-Device pairs form one-to-one matching and the stability of matching is analysed. The simulation results show that the proposed reciprocal-selection-based ‘Win–Win’ overlay spectrum-sharing scheme is capable of providing considerable rate improvements for both EUs and D2D pairs and reducing transmit power dissipated by the D2D transmitter to forward data for the EU compared with the existing methods.

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“…As the number of receivers increases, the transmission rate tends to decrease. Some works have been investigated in cooperative D2D communication [17][18][19]. Authors in [17] proposed a cooperative caching strategy to analyze the network capacity and present an architecture to improve the network capacity.…”

Section: Introductionmentioning

confidence: 99%

“…Some works have been investigated in cooperative D2D communication [17][18][19]. Authors in [17] proposed a cooperative caching strategy to analyze the network capacity and present an architecture to improve the network capacity. In [18], the author considers cooperative D2D communication in downlink cellular networks where the D2D transmitter is equipped with an energyharvesting capability.…”

Section: Introductionmentioning

confidence: 99%

Transmission Strategy Design and Resource Allocation in D2D Multicast Cooperative Communications with SWIPT

Weng

Yang

Wan

et al. 2018

Wireless Communications and Mobile Computing

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This paper proposes a new transmission strategy for device-to-device (D2D) multicast cooperative communication systems based on Simultaneous Wireless Information and Power Transfer (SWIPT) technology. The transmission block is divided into two slots. In the first slot, the source user transmits the information and energy to the help user by SWIPT. In the second slot, the help user uses the cellular spectrum and forwards the information to multiple receivers by using harvested energy. In this paper, we aim to maximize the total system rate, and to tackle the problem, we propose a two-step scheme: In the first step, the resource allocation problem is solved by linear programming. In the second step, the power-splitting coefficient value is obtained by taking the benefit of help user into account. Numerical results show that the proposed strategy not only effectively improves the overall throughput and spectrum efficiency but also motivates the cooperation.

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The Capacity of Device-to-Device Communication Underlaying Cellular Networks With Relay Links

Cited by 20 publications

References 15 publications

Influence of Crowd Participation Features on Mobile Edge Computing

Influence of Crowd Participation Features on Mobile Edge Computing

A Reciprocal-Selection-Based ‘Win–Win’ Overlay Spectrum-Sharing Scheme for Device-to-Device-Enabled Cellular Network

Transmission Strategy Design and Resource Allocation in D2D Multicast Cooperative Communications with SWIPT

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