Power Control in D2D Network Based on Game Theory

Zhang, Kai; Geng, Xuan

doi:10.1007/978-3-319-68121-4_11

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…In addition, the power control problem has been considered based on Nash equilibrium to eliminate the interference in [27]. The problem modeled as a non-cooperative game model; whereas, by adjusting the residual energy factor, the algorithm obtained a better equilibrium income, and the power control problem has been adopted for successive interference cancellation.…”

Section: Related Workmentioning

confidence: 99%

Non-Cooperative Power Control Game in D2D Underlying Networks with Variant System Conditions

et al. 2019

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In this paper, the problem of power control using a game theoretic approach based on sigmoid cost function is studied for device-to-device (D2D) communications underlying cellular networks. A non-cooperative game, where each D2D transmitter and a cellular user select their own transmit power level independently, is analyzed to minimize their user-serving cost function and achieve a target signal to interference-plus-noise-ratio (SINR) requirement. It is proved analytically that the Nash equilibrium point of the game exists and it is unique under certain constraints. Numerical results verify the analysis and demonstrate the effectiveness of the proposed game with variant system conditions, such as path loss exponents, target SINR, interference caused by the cellular user, pricing coefficients, and sigmoid control parameter.

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Section: Related Workmentioning

confidence: 99%

Non-Cooperative Power Control Game in D2D Underlying Networks with Variant System Conditions

et al. 2019

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“…Hybrid methods proposed joint centralized‐distributed RA [28–30] to address these issues. However, fully distributed approaches have gained more merit [31–58]. They generally perform a utility function that represents every device's preference [31].…”

Section: Introductionmentioning

confidence: 99%

“…Then develop distributed resource allocation algorithms via: pricing, auctions [32], cooperative [33], and non‐cooperative games [34]. They combine the advantages of low information sharing, traffic offload, and low complexity [35, 37].…”

Section: Introductionmentioning

confidence: 99%

Joint uplink and downlink resource allocation for device to device communications

Selmi

Bouallègue²

2021

IET Communications

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With the ever-increasing number of intelligent devices, extensive research efforts have been spent towards developing efficient resource allocation in underlying device to device communications. Centralised and distributed approaches have been proposed to improve the network performances through uplink and downlink schemes. However, the full-duplex resource allocation remains challenging. Here, a joint uplink-downlink resource block assignment for device to device communications is proposed. The device's geometric distribution via the Poisson point process is formulated and the optimization problem as a mixed strategy non-cooperative game is modelled. The proposed resource allocation scheme allows many device to device communication pairs to share the same cellular resource block but does not restrict their number in advance; it is determined dynamically according to the channel's capacity and interference condition. Inversely, a device to device communication transmitter can simultaneously be allocated many resource blocks according to its bandwidth requirement and the number of its antennas. Furthermore, the optimal amount of data and power transmitted by each device is calculated. The efficiency of this algorithm is evaluated through computer simulations, and the results demonstrate good performances in the spectral and energy efficiency with relatively low complexity and convergence time.

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Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications

Najeh¹,

Bouallègue²

2021

Systems-of-Systems Perspectives and Applications - Design, Modeling, Simulation and Analysis (MS&A), Gaming and Decision Su

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One of the main challenges of LTE-advanced (LTE-A) is to recover the localarea services and improve spectrum effciency. In order to reach those goals technical capabilities are required. D2D is a promising techniques for the 5G wireless communications system using several applications, as: network traffic offoading, public safety, social services and applications such as gaming and military applications. In this chapter, we investigate both mode selection and distributed power control in D2D system. Indeed, the mode selection is provided while respecting a predetermined SINR threshold relative to cellular and D2D users. The amount of minimum and maximum power are then derived to fulffill the predetermined requirements, by limiting the interference created by underlaid D2D users. In order to realize our proposed power control step, a new distributed control approach is proposed using game theory tools for several cellular and D2D users. This distributed approach is based on the mode selection strategy already proposed in the previous step. Finally, simulations were established in order to compare the proposed distributed algorithm in terms of coverage probability which is based on game theory, with other conventional centralized algorithms.

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Power Control in D2D Network Based on Game Theory

Cited by 3 publications

References 7 publications

Non-Cooperative Power Control Game in D2D Underlying Networks with Variant System Conditions

Non-Cooperative Power Control Game in D2D Underlying Networks with Variant System Conditions

Joint uplink and downlink resource allocation for device to device communications

Nash Equilibrium Study for Distributed Mode Selection and Power Control in D2D Communications

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