Resource Allocation and Power Control Policy for Device-to-Device Communication Using Multi-Agent Reinforcement Learning

Wei, Yifei; Qu, Yinxiang; Zhao, Min; Zhang, Lianping; Yu, F. Richard

doi:10.32604/cmc.2020.09130

Cited by 11 publications

(1 citation statement)

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“…In the wireless communication scenario where D2D communication and 5G cellular communication coexist 11 , the link in which data is sent by the user terminal and received by the BS is called uplink, and vice versa is called downlink. When the D2D user multiplexes the uplink and downlink of cellular user (CUEc) at the same time, the D2D communication will bring problems of load imbalance and co-frequency interference to the BS and receiver.…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Research on network performance of D2D communication based on interference management

Song

Peng²,

Wang³

et al. 2022

6th International Conference on Mechatronics and Intelligent Robotics (ICMIR2022)

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D2D(Device-to-device) improves communication quality by reusing cellular users' spectrum resources, becoming one of the key technologies for super-large data processing and massive devices accessing in the 5G. Due to load imbalance and co-frequency interference caused by distance change or increase in the number of users, this paper introduces interference management strategy in the 5G scenario where D2D communication and cellular communication coexist. By establishing up and down link resource model of D2D user reuse cellular communication to measure user throughput, and then control transmitting power and the distance between user and base station to reduce the influence of interference on the system. Simulation results show that compared with other traditional algorithms, the network performance of D2D communication based on interference management is significantly improved.

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Section: System Model and Problem Formulationmentioning

confidence: 99%