Performance Improvement of Time-Sensitive Fronthaul Networks in 5G Cloud-RANs Using Reinforcement Learning-Based Scheduling Scheme

With the development of the fifth generation (5G) wireless networks, the dense, heterogeneous and irregular network architecture puts forward higher requirements for inter-cell interference coordination (ICIC) technology. How to combine the existing technology to suppress inter-cell interference has become a focus worthy of research. This paper proposes a novel ICIC scheme that combines three-dimensional (3D) multi-level soft frequency reuse (ML-SFR) and coordinated multi-point (CoMP) transmission technology. Based on the scheme, a model of ML-SFR and CoMP is built for different scenarios. Finally, the information rates of users at the cell edge and the entire cell are analyzed through simulation, respectively. The results show that the proposed scheme is superior to the traditional anti-interference technology in suppressing inter-cell interference. The proposed scheme can effectively improve the transmission performance of the 5G wireless networks.

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A Novel ICIC Scheme Combining 3D ML-SFR and CoMP

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A Novel ICIC Scheme Combining 3D ML-SFR and CoMP