JOURNAL ARTICLE

Power Allocation in Device-to-Device Communications based-Stackelberg Game Theory

Abstract

In underlaid Device-to-Device (D2D) cellular networks, severe radio interference can be typical for cellular and D2D users, which causes each D2D user's quality-of-experience (QoE) to degrade significantly. To remedy these problems, a dynamic Stackelberg game is proposed in this paper, where a single-leader (base station) and multiple-followers (cellular and D2D pairs) users are considered. Based on selection criteria jointly required by the base station, the cellular users and D2D users, a 2-stage Stackelberg game is investigated in this paper. In fact, the amount of power is first performed following a Nash Equilibrium at the first stage (base station). The derived amount power is then distributed among the other players (cellular and D2D users) relative to the proposed game, while respecting their heterogeneous criteria. Finally, power allocation and adjustment algorithms relative to the mentioned dynamic Stackelberg game will be investigated and compared with classical ones.

Keywords:
Stackelberg competition Base station Computer science Nash equilibrium Game theory Power control Cellular network Computer network Power (physics) Interference (communication) Transmitter power output Quality of experience User equipment Telecommunications link Non-cooperative game Selection (genetic algorithm) Mathematical optimization Transmitter Quality of service Mathematical economics Mathematics Artificial intelligence

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2
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0.33
FWCI (Field Weighted Citation Impact)
8
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0.54
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Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
ICT Impact and Policies
Physical Sciences →  Engineering →  Media Technology
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications
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