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Leveraging Machine-Learning for D2D Communications in 5G/Beyond 5G Networks
2021
Electronics
Device-to-device (D2D) communication is a promising paradigm for the fifth generation (5G) and beyond 5G (B5G) networks. Although D2D communication provides several benefits, including limited interference, energy efficiency, reduced delay, and network overhead, it faces a lot of technical challenges such as network architecture, and neighbor discovery, etc. The complexity of configuring D2D links and managing their interference, especially when using millimeter-wave (mmWave), inspire
doi:10.3390/electronics10020169
fatcat:2l764bczknhf7ctlmbsyllllme