D2D Communication Network Interference Coordination Scheme Based on Improved Stackelberg

Xinzhou Li, Guifen Chen (), Guowei Wu, Zhiyao Sun and Guangjiao Chen
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Xinzhou Li: School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
Guifen Chen: School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
Guowei Wu: School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
Zhiyao Sun: School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China
Guangjiao Chen: School of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China

Sustainability, 2023, vol. 15, issue 2, 1-17

Abstract: The sudden explosive growth of data in intelligent devices and existing communication networks has brought great challenges to existing communication networks. On the one hand, D2D (device to device) technology greatly improves the utilization of spectrum resources; on the other hand, it improves the communication quality of users. It has become an important part of the future communication network. Aiming at the problem that the existing D2D communication network system has complex user interference, and the communication quality of cellular users is difficult to guarantee, a D2D communication network interference coordination scheme based on improved Stackelberg is proposed. Using resource allocation and power control to solve the interference coordination problem, this paper proposes an improved Stackelberg model based on DQN (deep Q network), establishes the master–slave game between cellular users and multiplexing resource users (D2D users; relay communication users), optimizes the cost parameters in the Stackelberg mode and improves the transmission power and resource allocation scheme of multiplexing resource users. The simulation results show that compared with similar algorithms, the algorithm proposed in this paper has the best performance in guaranteeing the QoS of cellular users in the system and has good interference management capability for D2D communication networks.

Keywords: D2D communication; deep reinforcement learning; Stackelberg game; relay communication; interference coordination (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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